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JOURNEYS<br />

Publisher<br />

<strong>LTA</strong> <strong>Academy</strong><br />

Land Transport Authority<br />

1 Hampshire Road<br />

Singapore 219428<br />

Editorial Team<br />

Naleeza Ebrahim<br />

George Sun<br />

Mageret Ely<br />

Foo Jong Ai<br />

All feedback, suggestions and contribution of papers for future issues are welcome.<br />

Please address all correspondence to:<br />

JOURNEYS<br />

<strong>LTA</strong> <strong>Academy</strong><br />

Land Transport Authority<br />

1 Hampshire Road<br />

Singapore 219428<br />

Fax: 65 6396 1890<br />

Email: JOURNEYS@lta.gov.sg<br />

JOURNEYS is also available online at www.<strong>LTA</strong>academy.gov.sg<br />

© <strong>2011</strong> <strong>LTA</strong> <strong>Academy</strong>, Land Transport Authority, Singapore<br />

All rights reserved. No part of this publication may be reproduced, stored or transmitted in any form or by<br />

any means without the prior written permission of the <strong>LTA</strong> <strong>Academy</strong>, Land Transport Authority, Singapore.<br />

The opinions and views expressed in this publication are those of the authors and do not necessarily reflect<br />

the views of the <strong>LTA</strong> <strong>Academy</strong> or the Land Transport Authority, Singapore.<br />

ISSN: 1793-494X


Contents<br />

Sustainable Urban Transport<br />

07. Urban Sustainability and<br />

Transportation: Research<br />

Framework for Medium and<br />

Long Term Transport Planning<br />

K.W. AXHAUSEN<br />

Alex ERATH<br />

20. Transport Mobility Management:<br />

Small Changes - Big Impacts<br />

Damian PRICE<br />

Amy LEATHER<br />

Best Practices<br />

31. Different Approaches to Public<br />

Transport Provision<br />

David A. HENSHER<br />

Gabriel WONG<br />

42. Recommendations for Improving<br />

Transportation Energy Efficiency<br />

in APEC Economies<br />

Laura VAN WIE MCGRORY<br />

52. Achieving Green Freight in Asia<br />

Sophia PUNTE<br />

Yan PENG<br />

References<br />

60. Passenger Transport Mode Shares<br />

in World Cities<br />

71. Comparison of Public Transport<br />

Operations


Mohinder Singh<br />

Dean<br />

<strong>LTA</strong> <strong>Academy</strong><br />

A<br />

s we publish yet another issue<br />

of JOURNEYS, the contributions<br />

of our authors attest to the<br />

fact that matters relating to urban and<br />

transport planning continue to challenge<br />

governments, policy makers and societies all<br />

over the world. It is clear that great minds<br />

are kept busy with ideas and concepts on<br />

how to move people, goods and services in<br />

the best possible way. The issue is getting<br />

more complex with greater urbanisation in<br />

every country, and as the global village gets<br />

smaller, as more people want or need to<br />

travel or transport things. Yet, rising to the<br />

challenge, urban and transport planners<br />

are unstinting in their efforts to make<br />

improvements and chart the way forward.<br />

Professor KW Axhausen and Alex Erath<br />

from ETH Zurich (Swiss Federal Institute of<br />

Technology Zurich) give a glimpse of the<br />

research on Mobility and Transportation at<br />

the Future Cities Laboratory. The goal is to<br />

derive tools to manage, plan and optimise<br />

the flow of people and goods at different<br />

Dean’s Words<br />

time scales and in their interactions with all<br />

elements of the future city. The project has<br />

both medium and long-term perspectives.<br />

The authors say that the integration of the<br />

medium and long term horizons in the<br />

research is a significant methodological<br />

innovation that will enable a global analysis<br />

of complex issues related to mobility in the<br />

future.<br />

From Mott MacDonald, Damian Price<br />

and Amy Leather explore what is still<br />

considered a relatively new element of the<br />

transport practitioner’s toolbox, Transport<br />

Mobility Management (TMM). They present<br />

examples of international best practices in<br />

TMM and examine the degrees of success.<br />

They have found that the more successful<br />

TMM initiatives are those embedded in the<br />

wider transport approach of a government,<br />

authority or service provider. The authors<br />

have even distilled the Top Ten Measures for<br />

success in TMM to share with our readers.<br />

Collaborating at the <strong>LTA</strong> <strong>Academy</strong>, Professor<br />

David Hensher and Gabriel Wong examine<br />

the different approaches to the provision<br />

of public transport in various cities around<br />

the world. These approaches include<br />

government operation, competition in the<br />

market, government regulation of fares<br />

and services, competitive tendering, and<br />

negotiated performance-based contracts.<br />

What emerges is that there is no one-size fits<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

5


all approach. Cities, governments and policy<br />

makers have to test out and decide which<br />

model suits them, their ultimate aim being<br />

to develop integrated and accessible urban<br />

public transport systems with reasonable<br />

quality of services and at affordable fares.<br />

At the Alliance to Save Energy, Laura Van<br />

Wie McGrory puts together the consensus<br />

reached at the 2009 APEC Workshop on<br />

Policies that Promote Energy Efficiency<br />

in Transport (WPPEET). Specifically, the<br />

agreement was that APEC economies<br />

should aim to increase transit-oriented<br />

development and integrated land-use<br />

planning while minimising private motorised<br />

transport. It also proposes that APEC has<br />

a role in promoting energy efficiency in<br />

transportation, through projects and the<br />

coordination of bodies that advise leaders<br />

of the APEC economies. Furthermore,<br />

these measures in APEC may also be used<br />

to enhance other global transportation<br />

initiatives.<br />

Sophie Punte and Yan Peng, both from<br />

Clean Air Initiative Asia, raise the less<br />

common topic of freight’s contribution<br />

6 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

to air pollution and what can be done<br />

to reduce their emissions. The authors<br />

reveal how a small trucks pilot project in<br />

Guangzhou led to a larger freight project<br />

in Guangdong, which eventually paved the<br />

way for a national freight programme in<br />

China. According to them, these initiatives<br />

on greening the freight and logistics sector<br />

are expected to be replicated in other Asian<br />

countries, with strong support from private<br />

sector. These revelations should certainly<br />

spell good news across these societies as the<br />

movement of freight is a major component<br />

of their economic wealth, while conversely<br />

contributing to poor physical health due to<br />

their pollutant emissions.<br />

I would like to thank all the authors for<br />

their myriad of ideas and concepts, proving<br />

that transport planning continues to be<br />

an intriguing and exciting topic. I am sure<br />

readers will find it so. More than that,<br />

hopefully, their contributions help to bring<br />

us closer to solutions.


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

Urban Sustainability and Transportation:<br />

Research Framework for Medium and<br />

Long Term Transport Planning<br />

K.W. AXHAUSEN and Alex ERATH<br />

Abstract<br />

This paper presents an overview of the research of the module, Mobility and Transportation,<br />

one out of nine modules of the Future Cities Laboratory (FCL), the first interdisciplinary<br />

research group of the Singapore-ETH Centre for Global Environmental Sustainability<br />

(SEC). The aim of the module is to advance research into the complex arena of land<br />

transport, which derives from the demands of managing, planning and optimising the<br />

flow of people and goods at different time scales and the interaction of these aspects<br />

with all elements of the future city.<br />

Introduction<br />

This century will, for the first time, see over<br />

half the world’s population living in cities<br />

(UN 2007). Making these urban structures<br />

environmentally, economically and socially<br />

sustainable and liveable is one of today’s great<br />

challenges. Due to the central importance<br />

of cities’ infrastructure and performance,<br />

one key element to meet this challenge is<br />

transportation infrastructure. Embedded in<br />

the Singapore National Research Foundation’s<br />

initiative, Campus for Excellence and<br />

Technological Enterprise (CREATE), and with<br />

the objective to advance research into the<br />

complexity of land transport, the research<br />

outlined in this article addresses this challenge.<br />

The research is one of the nine modules of<br />

the Future Cities Laboratory, the first research<br />

programme of the Singapore-ETH Centre for<br />

Global Environmental Sustainability (SEC). The<br />

research is performed in close collaboration<br />

with the other FCL modules, the ETH Institute<br />

of Transport Planning and Systems based<br />

in Zurich, and the Interdisciplinary Research<br />

Groups of the SMART MIT Future Mobility and<br />

TUM CREATE initiatives based in Singapore.<br />

The goal of this research is to derive tools to<br />

manage, plan and optimise the flows of people<br />

and goods at different time scales and in their<br />

interactions with all elements of the future city.<br />

The project has two perspectives: medium- and<br />

long-term (Figure 1). The medium term refers<br />

to the change across all degrees of freedom<br />

of the system (population, infrastructure, land<br />

use, regulation and pricing), but still taking<br />

the given situation as the starting point. The<br />

long-term processes make it possible over time<br />

to consider the changes required to achieve<br />

overarching policy goals and to account for<br />

The goal of this research is to derive<br />

tools to manage, plan and optimise the<br />

flows of people and goods at different<br />

time scales and in their interactions<br />

with all elements of the future city.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

7


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

Figure 1: Research Framework<br />

Preparatory work<br />

Research<br />

Implementation of MATSim Singapore<br />

Medium Term<br />

Long Term<br />

their benefits and costs. Both perspectives will<br />

be developed in an integrated manner based<br />

on the same software framework and are<br />

presented in the following sections.<br />

Research Framework<br />

Basis: Large-scale,<br />

multi-agent,activity-based<br />

transport demand model<br />

The research framework is provided by the<br />

multi-agent-based travel demand simulation<br />

MATSim (MATSIM-T <strong>2011</strong>). Open-source<br />

MATSim is one of a group of agent-based<br />

models that have recently been developed<br />

to realise the potential of the activity-based<br />

approach in practice (Bradley and Bowman<br />

2006). In line with the activity-based approach<br />

(Jones et al. 1983), MATSim is based on the<br />

idea of the 24 hour daily activity schedule as<br />

the basic behavioural unit. In contrast to most<br />

other current agent-based models, it fully<br />

integrates traffic flow simulation to calculate<br />

the generalised costs of travel implied by the<br />

schedule. In addition, MATSim is designed for<br />

speed and scale, which allows it to address<br />

large-scale and finely detailed scenarios. For<br />

example, the Switzerland implementation has<br />

7.5 million agents, 1 million links and 1 million<br />

destinations (Figure 2), and is still able to<br />

8 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

find a steady state solution within acceptable<br />

computing time (Balmer et al. 2010). Besides<br />

Switzerland, MATSim has been successfully<br />

implemented in Toronto, Berlin and Tel-Aviv.<br />

Figure 2: MATSim model for Zurich morning peak traffic at<br />

7am. (Source : Visualisation courtesy of senozon AG Zurich)<br />

The research will be based on a calibrated<br />

and validated version of the multi-agentbased<br />

travel demand simulation MATSim<br />

for Singapore. This model will provide the<br />

simulation environment needed for both the<br />

medium-term and the long-term developments.<br />

Medium Term<br />

For the medium term time s c a l e , two<br />

subprojects are envisaged. The first will develop<br />

an approach to scheduling activities over the<br />

course of a week. The second is dedicated<br />

to the simulation-based optimisation of two<br />

aspects of urban transport systems: transport<br />

demand management and bus network<br />

optimisation.<br />

• Weekly Activity Scheduling<br />

Current activity-based models are generally<br />

one-day equilibrium-based models.<br />

This one-day restriction is becoming<br />

increasingly problematic, as many policies


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

aim to reshape demand across longer time<br />

horizons; taking peak-spreading beyond a<br />

single day. Furthermore, it has been long<br />

recognised that this time horizon is too<br />

short, as at least a weekly rhythm is natural<br />

for the choices of many recurring activities.<br />

...many policies aim to reshape demand<br />

across longer time horizons; taking<br />

peak-spreading beyond a single day.<br />

One way to overcome this constraint is to<br />

reformulate MATSim so that it can be run<br />

open-ended. This redesign has to consider<br />

factors such as the rhythms of the year, the<br />

rhythms of major events, the business cycle,<br />

and long-term changes in the population<br />

and in the facilities (see below for the work<br />

on the agents and modules addressing the<br />

choices implied here).<br />

The key design decision will be the choice<br />

of the learning mechanism with which the<br />

agents adapt their behaviour to the patterns<br />

they experience. While MATSim+ will not<br />

impose the strict maximiser implied by<br />

stochastic user equilibrium, it will still assume<br />

that the agents want to improve their daily<br />

experience.<br />

Based on the idea of an ‘activity calendar’<br />

of desired, but not yet undertaken activities,<br />

the project will develop an approach to<br />

schedule these activities over the course<br />

of a week (Axhausen 2006). The work of<br />

Feil (2010) will be the starting point for<br />

the development of the approach. It will<br />

integrate the idea of a committed core<br />

schedule around which the travellers build<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Based on the idea of an ‘activity<br />

calendar’ of desired, but not yet<br />

undertaken activities, the project will<br />

develop an approach to schedule these<br />

activities over the course of a week.<br />

their week. It will not adopt a fully continuous<br />

view of activity generation as arising out of<br />

an understanding of incremental need<br />

build-up. Still, the model will be rewritten<br />

to enable such an open architecture. This<br />

path-dependent MATSim will combine<br />

the weekly horizon with the ability to be<br />

integrated in the longer-term considerations<br />

of a year and their development over time.<br />

The new processes to be added in the next<br />

element of the project will therefore have<br />

a suitable environment for people to age,<br />

move house, change jobs, etc.<br />

• Simulation Based Optimisation<br />

In terms of transport demand management,<br />

an integration of an optimisation approach<br />

for ERP will be developed, which will be<br />

based on the information available from<br />

the simulation. In contrast to the agents<br />

added for the long-term horizon, this<br />

optimiser will have a definite time horizon<br />

of one day. Furthermore, and again based<br />

on information of the transport simulation,<br />

research on the optimisation of bus network<br />

design and operation will be conducted, a<br />

topic of special importance to Singapore<br />

with its large public bus network.<br />

i. Optimising Traffic And Transport<br />

Demand Management Strategies<br />

The derivation and evaluation of traffic and<br />

transport demand management strategies<br />

9


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

for urban road networks typically relies<br />

on the use of microscopic simulation<br />

tools that capture in detail the behaviour<br />

of drivers, as well as, their interaction<br />

with the network infrastructure.<br />

Unfortunately, this degree of detail and<br />

realism comes at the cost of non-linear<br />

objective functions with no available<br />

closed form and potentially containing<br />

several local minima. To integrate these<br />

non-linear, stochastic and evaluationexpensive<br />

simulation models within an<br />

optimisation framework is a difficult<br />

and intricate task. In order to perform<br />

both fast and reliable simulation<br />

optimisation for congested networks,<br />

information from the simulation tool<br />

should be combined with information<br />

from a network model that analytically<br />

captures the structure of the underlying<br />

problem. The objective of this subproject<br />

is to derive efficient simulation-based<br />

optimisation methods for traffic and<br />

transport demand management.<br />

New simulation-based optimisation<br />

algorithms for the generation of road<br />

pricing strategies and speed control will<br />

be developed, implemented, and tested.<br />

The algorithms are designed for offline<br />

operations on medium time scales. This<br />

work is likely to consist of the further<br />

development of research previously<br />

conducted at EPFL (Osorio 2010) and<br />

TU Berlin (Lämmel and Flötteröd 2009);<br />

and have been already successfully<br />

implemented for MATSim scenarios<br />

(Mezdani <strong>2011</strong>). Interfaces of the<br />

10 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

realised algorithms to the simulation system<br />

are implemented and tested.<br />

...to perform both fast and reliable<br />

simulation optimisation for<br />

congested networks, information<br />

from the simulation tool should<br />

be combined with information<br />

from a network model that<br />

analytically captures the structure<br />

of the underlying problem.<br />

ii. Optimising Bus Systems<br />

The optimisation of bus networks and<br />

its operation is a highly complex, multiattribute<br />

problem (Figure 3). Besides<br />

dynamic demand, it features a range of<br />

variables such as number and location of<br />

the bus stop, bus routes, service frequency,<br />

availability of bus lanes, integration with<br />

other modes of public transport and<br />

even fare collection methods. Due to the<br />

complexity of the system, the problem will<br />

be decomposed into sub problems but<br />

all results will be evaluated based on the<br />

MATSim framework.<br />

The network design problem will be based<br />

on earlier work by Daganzo (2010) which<br />

describe the network shapes and operating<br />

characteristics that allow an efficient transit<br />

system, and by Fletterman (2008) which<br />

applies metaheuristics for network design.<br />

Special attention will be paid to the impact<br />

of separate bus lanes (Daganzo 2006).<br />

Based on this research, the city of Barcelona<br />

reorganised its bus network (Institute of<br />

Transportation Studies 2010). However, it<br />

has not yet been tested within a multi-agent


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

Figure 3: Representation of the public transport supply in Singapore in first quarter of 2010.<br />

(Width indicates capacity, brown lines represent buses, and other colours represent various MRT/LRT lines)<br />

transport demand model, which allows<br />

further refinement of the approach.<br />

In terms of bus operations, the research will<br />

build on earlier work proposing an adaptive<br />

control scheme to mitigate the problem of<br />

bus bunching (Daganzo 2008). The MATSim<br />

simulation allows for integration of the<br />

proposed scheme which dynamically<br />

determines bus holding times at control<br />

points based on simulation-based, real-time<br />

headway information. Finally, the findings<br />

of Tirachini and Hensher (<strong>2011</strong>) on the<br />

influence of fare collection systems and<br />

optimal infrastructure investments will be<br />

incorporated and applied to the Singapore<br />

scenario.<br />

Long Term<br />

The urban system is constantly evolving. It<br />

is changing at different speeds and scales.<br />

Endogenous and exogenous agents and forces<br />

accelerate or delay these changes. Current<br />

urban land use and transport models focus<br />

their attention on the impact of accessibility<br />

changes arising from shifts, reductions or<br />

increases in the general transport cost surface.<br />

They do so by employing spatial aggregates<br />

or zones as their reference system. They<br />

assume many atomistic actors, who interact<br />

freely in an open land and housing market.<br />

So far, the first characteristic has been the<br />

result of data availability considerations and<br />

not of theoretical desirability. The second<br />

assumption reflects both American and<br />

European conditions, but is clearly untenable<br />

for other places such as China or Singapore,<br />

where land availability, land use and household<br />

capital availability are jointly regulated by the<br />

government. In Singapore, for example, the<br />

government controls land use, a vast share<br />

of the property market and pensions through<br />

instruments, such as, government land sales,<br />

Housing and Development Board (HDB) or<br />

Central Provident Fund (CPF) and their various<br />

rules and regulations (Phang 2001).<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

11


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

The microscopic adaptations of the residents<br />

and firms on exogenous planning scenarios<br />

will be the centre of the work in the longterm<br />

part of the project, as they are generic<br />

in their methodology and transferable to other<br />

locations. The research is organised based on<br />

three main pillars (Figure 4), namely, object fine<br />

location choice, service provider agents and<br />

social network geographies. The forecasting<br />

procedure is based on steps of one year. For<br />

each year, information on exogenous factors,<br />

such as, new property developments, is fed in<br />

the loop whereupon the different agents react.<br />

Based on their reactions, a new state for year<br />

n+1 is computed which serves as the basis for<br />

the next loop run.<br />

The microscopic adaptations of the<br />

residents and firms on exogenous<br />

planning scenarios will be the centre<br />

of the work in the long-term part<br />

of the project, as they are generic in<br />

their methodology and transferable<br />

to other locations.<br />

Figure 4: Overview of Long Term Framework<br />

Location choice<br />

-object-fine<br />

-social network informed<br />

-secondary location choice<br />

Hedonic regressions, facilities database<br />

12 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

• Advanced Location Choice<br />

Model<br />

Current software systems, such as, MATSim<br />

and UrbanSim (UrbanSim <strong>2011</strong>), and others<br />

as well, are moving from an aggregate<br />

description of the land use system to a<br />

parcel-based one. This has the advantage<br />

that all agents in the simulation correspond<br />

to individual entities: residents, their<br />

households and residences, firms and their<br />

branches, institutions and their locations,<br />

the associated vehicle fleets, transport firms<br />

and their services. This consistency in model<br />

resolution is not matched yet in some of<br />

the behavioural models, most importantly,<br />

residential location choice, activity location<br />

choice, location choice of firms and<br />

institutions.<br />

Service provider agent<br />

-location choice<br />

-choice of location size<br />

-regulations<br />

The current choice models cannot fully<br />

characterise the individual alternatives, as<br />

central variables are missing. The<br />

construction of the very large choice sets<br />

is still computationally very expensive and,<br />

therefore, often not properly addressed.<br />

Initial demand year n +1<br />

Information year n+2<br />

-new housing<br />

-new work places<br />

-new service locations<br />

Processing<br />

Social network<br />

-evolution<br />

-ageing<br />

Analysis,<br />

figures,<br />

evaluation


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

Previous work has served to highlight the<br />

shortcomings and issues, but has not yet<br />

integrated the proposed solutions into a<br />

working system, which is the only way to<br />

verify if the parts work together or if other<br />

solutions have to be found.<br />

The description of the alternatives will<br />

include the usual variables: attributes of<br />

the apartment, accessibility, etc., for the<br />

case of residential location choice, and<br />

generalised cost elements for the given<br />

schedule (including parking variables), store<br />

size brand name, etc., for the activity and<br />

firm location choice. However, to address<br />

the issues of choice set size but also to take<br />

advantage of new available data sources,<br />

the description of the alternatives will have<br />

to be enriched by further elements, such<br />

as, capacity effects, quality of service, price<br />

levels, target markets and brand visibility.<br />

A further strategy to control the size and<br />

actual relevance of the choice set will be<br />

based on existing approaches (Horni et al.<br />

2009, and Scott 2006), to incorporate the<br />

time-space constraints of the schedules<br />

(Hägerstrand 1970). Those approaches<br />

have improved the performance of the<br />

choice models. However, since they still lack<br />

a coherent way to estimate the appropriate<br />

endogenous size of the time-space prisms,<br />

the research will particularly focus on this<br />

problem.<br />

The incorporation of social networks and<br />

analysis of its impact to location choice<br />

problems is a further aspect of the research<br />

and described later in this article.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

The construction of the very large<br />

choice sets is still computationally<br />

very expensive and, therefore, often<br />

not properly addressed. Previous<br />

work has served to highlight the<br />

shortcomings and issues, but has not<br />

yet integrated the proposed solutions<br />

into a working system,<br />

• Service Provider Agents<br />

The agent-based models do not model the<br />

choices of the suppliers of these services,<br />

so-called service provider agents, i.e.,<br />

retailers, car sharing companies, restaurant<br />

chains, banks, etc. For a long-term model<br />

of land use and transport at the parcel level,<br />

it is not possible to ignore the moves of the<br />

firms in response to transport and land use<br />

policies.<br />

The design of the agents will be developed<br />

based on a review of the existing<br />

literature about the strategies of the<br />

service providers, so that the scope of the<br />

capabilities is both realistic and appropriate.<br />

In case of retailers, the project can draw<br />

on initial work undertaken at ETH, where<br />

detailed interviews of retailers (Löchl<br />

2010) were undertaken (Arentze and<br />

Timmermans 2007). The design phase will<br />

specify the internal model of agents, which<br />

will be used to adapt their network of<br />

locations, capacities and service/price levels.<br />

While formal optimisation techniques are a<br />

possibility, the preferred approach at this<br />

time is, for example, a guided adaptation<br />

(Ciardi et al. 2008).<br />

13


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

...the design phase needs to be<br />

complemented with local information.<br />

A series of qualitative interviews will<br />

be undertaken with service providers in<br />

the industries of interest. The interview<br />

results will detail the software design<br />

and provide initial estimates for the<br />

necessary parameters...<br />

In addition to the literature review, the<br />

design phase needs to be complemented<br />

with local information. A series of qualitative<br />

interviews will be undertaken with service<br />

providers in the industries of interest. The<br />

interview results will detail the software<br />

design and provide initial estimates for the<br />

necessary parameters (e.g., minimum store<br />

sizes, minimum-maximum catchment areas,<br />

investment costs, labour pool preferences,<br />

etc.).<br />

The software design of the service provider<br />

agent will be rather generic so that the<br />

concept can also be adapted for the medium<br />

term model. In that spirit, agents will be<br />

implemented to manage and optimise, for<br />

example, the taxi fleet.<br />

Following on the design phase, the agents<br />

will be implemented and tested in isolation<br />

to see that the code performs as designed.<br />

The capabilities will include the definition of<br />

chains, the addition and removal of locations,<br />

choice of service and price levels for each<br />

location of a chain. Once the software runs<br />

stable and delivers meaningful results, a joint<br />

test will be performed in order to understand<br />

the interactions better and various future<br />

scenarios will be tested.<br />

14 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

• Social Networks<br />

As pointed out above, the second element<br />

missing for a destination choice at the<br />

parcel level is the understanding of the<br />

social network structures influencing these<br />

choices. In this context, an original survey<br />

will be undertaken in Singapore to capture<br />

the structure of local social networks and<br />

investigate the impact of social networks in<br />

joint decision-making.<br />

The survey will feature a name generator,<br />

as this methodology has a long history in<br />

sociology (Marsden 1990). However, so far<br />

the geographic spread of the contacts has<br />

normally been omitted or downplayed (Frei<br />

and Axhausen 2007) in such surveys. Recent<br />

work in transportation has three directions:<br />

building models of the dynamics of social<br />

networks, generating spatially distributed<br />

social networks in agent-based simulations<br />

(Hackney 2009) and, finally, capturing the<br />

geography of the social networks (Mok and<br />

Wellman 2007), (Carrasco 2006), (Carrasco<br />

et al. 2008), (van den Berg et al. 2009),<br />

(Frei and Axhausen <strong>2011</strong>b) (Figure 5). While<br />

Axhausen et al. (2006) had focussed on the<br />

interaction with the mobility biography<br />

Most work so far has centred the<br />

social networks on the contacts,<br />

which are relevant for joint leisure,<br />

but has omitted the fact that people<br />

also have attachments to particular<br />

places and firms.<br />

(Lanzendorf 2003), the survey planned<br />

here will combine the capture of the


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

social network with the network of links<br />

and preferences to particular places and<br />

brands. Most work so far has centred the<br />

social networks on the contacts, which are<br />

relevant for joint leisure, but has omitted<br />

the fact that people also have attachments<br />

to particular places and firms.<br />

The survey will be conducted as an egocentric<br />

survey of contacts with whom the<br />

respondents spend their leisure time and<br />

fulfil the priority of obtaining a general<br />

and broad understanding of the network<br />

geographies. Special care will be taken to<br />

involve both citizens and foreign residents<br />

to get as complete an overview as possible.<br />

The survey will give insights, as discussed<br />

above, in the number and geography of<br />

social networks of the Singapore residents<br />

and of the frequency of their interactions.<br />

The uses of ‘clique’, an item tested in<br />

the current work at ETH Zurich (Kowald<br />

and Axhausen 2010), will allow us to<br />

characterise the internal structure of the<br />

Figure 5: Residential locations of the respondents (Zurich only)<br />

and acquaintances, as reported in Frei and Axhausen (<strong>2011</strong>b)<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

networks in a first approximation. The<br />

information about the place and<br />

firm attachments complements the social<br />

geography. Information about the mobility<br />

biography will place the current situation<br />

into the biographical context of the<br />

respondents.<br />

Implication Of Social Network<br />

On Location Choice<br />

The survey results will allow to do two<br />

things, firstly, generalise the social networks<br />

to the population as a whole (Arentze and<br />

Timmermans 2006), (Hackney and Marchal<br />

2008), (Frei and Axhausen <strong>2011</strong>b), (Arentze,<br />

Kowald and Axhausen <strong>2011</strong>) by linking the<br />

agents via a probabilistic model, and secondly,<br />

establish new model structures to capture joint<br />

decision-making in destination choice (Frei and<br />

Axhausen <strong>2011</strong>a).<br />

Based on the substantial literature on joint<br />

household decision-making in transport<br />

(Zhang et al. 2007) and on-going work within<br />

the SustainCity project (SustainCity <strong>2011</strong>),<br />

suitable model structures will be developed<br />

to capture the joint choice of locations within<br />

social networks, in particular, for leisure<br />

The survey will be conducted as an<br />

ego-centric survey of contacts with<br />

whom the respondents spend their<br />

leisure time and fulfil the priority<br />

of obtaining a general and broad<br />

understanding of the network<br />

geographies. Special care will be<br />

taken to involve both citizens and<br />

foreign residents to get as complete<br />

an overview as possible.<br />

15


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

activities. The challenge will be to integrate this<br />

within the MATSim approach of modelling the<br />

whole daily schedule. The interaction of the<br />

joint choice on the then partially coordinated<br />

schedules will be the focus of the work. It is<br />

open at this point whether the most productive<br />

path will be a joint optimisation/satisfaction<br />

approach or an explicit discrete choice model.<br />

Both options will have to be explored and<br />

tested.<br />

Key Impacts And Outlook<br />

The integration of the two time horizons,<br />

m e d i u m a n d l o n g , is a s i g n i f i c a n t<br />

methodological innovation that will enable<br />

a global analysis of complex issues related to<br />

mobility in the future, as the various modules<br />

of the system can be integrated as the issue<br />

concerned requires. Hence, this framework<br />

allows large-scale policy tests for various<br />

temporal dimensions. However, the system<br />

will be first explicitly tested for stability of<br />

the simulation results, multiple equilibria and<br />

heterogeneous demand- and supply-side<br />

agents.<br />

The integration of the two time<br />

horizons, medium and long, is<br />

a significant methodological<br />

innovation that will enable a global<br />

analysis of complex issues related<br />

to mobility in the future, as the<br />

various modules of the system<br />

can be integrated as the issue<br />

concerned requires.<br />

16 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

From a medium-term horizon, the generalised<br />

costs of moving persons, goods and<br />

information can be derived from the new<br />

framework. Policymaking is interested in<br />

lowering these generalised costs of movement<br />

as these induce more efficient labour and<br />

goods markets. Policymaking also requires a<br />

detailed account of the winners and losers of<br />

any change in the supply, regulation and costs<br />

of transport infrastructure and services. The<br />

proposed framework targets in this direction<br />

and allows, due to the highly disaggregated<br />

approach, detailed analysis of winners and<br />

losers of change, either in infrastructure or<br />

policy.<br />

For policymaking over time horizons of several<br />

years, an account of the daily flows and the<br />

form and structure of the urban environment<br />

is needed. The development of a spatially<br />

detailed, path-oriented, land-use aware<br />

transport model for Singapore will provide<br />

new insight into the possible risks and benefits<br />

of different policies.<br />

The p r o j e c t will p u b l i s h its results<br />

t h r o u g h appropriate working papers<br />

on the Future Cities Laboratory website<br />

(www.futurecities.ethz.ch), peer-reviewed<br />

journals, and supplement this with papers and<br />

presentations at peer-reviewed, as well as,<br />

professional conferences. The code written will<br />

be licensed as GNU public licence and where<br />

appropriate, it will become part of the then<br />

current MATSim release.


References<br />

Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

Acknowledgement<br />

The authors thank National Research Foundation of Singapore which is funding this research programme, and the Future<br />

Cities Laboratory as part of the CREATE initiative. Furthermore, we are grateful to the numerous data providers, especially<br />

Land Transport Authority of Singapore, Urban Redevelopment Authority, Singapore Land Authority, SingStat, and Housing<br />

Development Board, to name a few. Finally, we appreciate the collaboration with the colleagues from Future Urban<br />

Mobility, MIT SMART and from TUM CREATE.<br />

Arentze, T. A. and H. J. P. Timmermans. 2006. A new<br />

theory of dynamic activity generation. Paper presented at<br />

the 85th Annual Meeting of the Transportation Research<br />

Board. Washington, D.C., USA.<br />

Arentze, T. A. and H. J. P. Timmermans. 2007. A multiagent<br />

activity-based model of facility location choice and<br />

use. Transportation Research Record 43 (3): 33–44.<br />

Arentze, T.A., M. Kowald and K.W. Axhausen. <strong>2011</strong>. A<br />

Method to Model Population-Wide Social Networks for<br />

Large Scale Activity-Travel Micro-Simulation, Working<br />

Paper, 698, IVT, ETH Zurich, Zurich, Switzerland.<br />

Axhausen, K. W. 2006. Moving through nets: An<br />

introduction, ed. K. W. Axhausen. Moving Through Nets:<br />

The Physical and Social Dimensions of Travel: 1–7, Elsevier,<br />

Oxford, UK.<br />

Axhausen, K. W., A. Frei and T. Ohnmacht. 2006.<br />

Networks, biographies and travel: First empirical and<br />

methodological results. Paper presented at the 11th<br />

International Conference on Travel Behaviour Research<br />

(IATBR). Kyoto, Japan.<br />

Balmer, M., K. Meister, R. A.Waraich, A. Horni, F. Ciari<br />

and K.W. Axhausen. 2010. Agentenbasierte Simulation<br />

für location based services, Final Report, F&E Förderung:<br />

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ETH Zurich, Zurich, Switzerland.<br />

Bradley, M. A. and J. L. Bowman. 2006. Design features<br />

of activity-based microsimulation models for U.S.<br />

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Austin, USA.<br />

Carrasco, J. A. 2006. Social activity-travel behaviour:<br />

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Carrasco, J. A., B. Hogan, B.Wellman and E. J. Miller.<br />

2008. Collecting social network data to study social<br />

activity-travel behavior: An ego-centered approach,<br />

Environment and Planning B 36 (6): 961–980.<br />

Ciari, F., M. Löchl and K.W. Axhausen. 2008. Location<br />

decisions of retailers: An agent-based approach. Paper<br />

presented at the International Conference on Recent<br />

Advances in Retailing and Services Science. Zagreb,<br />

Croatia.<br />

Daganzo, C. F. 2006. Bus lanes with intermittent priority:<br />

Strategy formulae and an evaluation, Transportation<br />

Research Part B 40 (9): 731–744.<br />

Daganzo, C. F. 2008. A headway-based approach<br />

to eliminate bus bunching: Systematic analysis and<br />

comparisons, Transportation Research Part B 43 (10):<br />

913–921.<br />

Daganzo, C. F. 2010. Struture of competitive transit<br />

networks, Transportation Research Part B 44 (4):<br />

434–446.<br />

Feil, M. 2010. Choosing the daily schedule: Expanding<br />

activity-based travel demand modeling. Ph.D. Thesis,<br />

Zurich: ETH Zurich, Switzerland.<br />

Fletterman, M. 2008. Designing Multimodal Public<br />

Transport Networks Using Metaheuristics, Master Thesis,<br />

Faculty of Engineering, Built Technology and Information<br />

Technology. University of Pretoria, Pretoria, South Africa.<br />

Frei, A. and K.W. Axhausen. 2007. Size and structure of<br />

social network geographies, Working Paper, 444, IVT, ETH<br />

Zurich, Zurich, Switzerland.<br />

Frei, A. and K. W. Axhausen. <strong>2011</strong>a. Collective location<br />

choice model, Working Paper, 686, IVT, ETH Zurich,<br />

Zurich, Switzerland.<br />

Frei, A. and K. W. Axhausen. <strong>2011</strong>b. Modeling spatial<br />

embedded social network, Working Paper, 685, IVT, ETH<br />

Zurich, Zurich, Switzerland.<br />

Hackney, J. K. (2009) Integration of social networks in a<br />

large-scale travel behavior microsimulation. Ph.D. Thesis,<br />

ETH Zurich, Zurich, Switzerland.<br />

Hackney, J. K. and F. Marchal. 2008. A model for coupling<br />

multi-agent social interactions and traffic simulation,<br />

Working Paper, 516, IVT, ETH Zurich, Zurich, Switzerland.<br />

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17


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(1): 7–21.<br />

Horni, A., D. M. Scott, M. Balmer and K. W. Axhausen.<br />

2009. Location choice modeling for shopping and leisure<br />

activities with MATSim: Combining micro-simulation and<br />

time geography, Transportation Research Record, 2135:<br />

87–95.<br />

Institute of Transportation Studies (ITS). 2010. Using ITS<br />

research, Barcelona relaeses new BRT network, press<br />

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1983. Understanding Travel Behaviour, Gower, Aldershot.<br />

Kowald, M. and K. W. Axhausen. 2010. Spatial<br />

distribution of connected leisure networks: Selected<br />

results from a snowball sample, Working Paper, 614, IVT,<br />

ETH Zurich, Zurich, Switzerland.<br />

Lämmel, G. and G. Flötteröd. 2009. Towards system<br />

optimum: Time-dependent networks for large-scale<br />

evacuation problems, in B. Mertsching, M. Hund and<br />

Z. Aziz (eds.) KI 2009: Advances in Artificial Intelligence<br />

- 32nd Annual German Conference on AI, Paderborn,<br />

Germany, September 15-18, 2009, Proceedings,<br />

532–539, Springer, Berlin, Germany<br />

Lanzendorf, M. 2003. Mobility biographies: A new<br />

perspective for understanding travel behaviour. Paper<br />

presented at the 10th International Conference on Travel<br />

Behaviour Research (IATBR). Lucerne, Switzerland.<br />

Löchl, M. 2010. Application of spatial analysis methods<br />

for understanding geographic variation of prices. Ph.D.<br />

Thesis, ETH Zurich, Switzerland.<br />

Marsden, G. 1990. Networks: Data and measurement,<br />

Annual Review of Sociology 16: 435–463.<br />

MATSim-T .<strong>2011</strong>. Multi Agent Transportation Simulation<br />

Toolkit. http://www.matsim.org.<br />

Mezdani, Y. <strong>2011</strong>. Optimal tolls based on an agent-based<br />

model of travel demand. Master Thesis, TRANSP-OR, EPF<br />

Lausanne, Lausanne, Switzerland.<br />

Mok, D. and B. Wellman. 2007. Did distance matter<br />

before the internet?, Social Networks 29 (3): 430–461.<br />

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assignment: going from trips to behavioral travelers.<br />

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Travel Behaviour Research (IATBR), Jaipur, India.<br />

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Osorio, C. 2010. Mitigating network congestion :<br />

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and the Singapore economy, Housing Studies 16 (4):<br />

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Transportation Research Board. Washington, D.C., USA.<br />

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Tirachini, A. and D. A. Hensher. <strong>2011</strong>. The identification<br />

of factors influencing destination choice: An application<br />

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unleashing the potential of urban growth, Technical<br />

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USA.<br />

UrbanSim. <strong>2011</strong>. Open Platform for Urban Simulation.<br />

http://www. urbansim.org.<br />

Van den Berg, P., T. A. Arentze and H. J. P. Timmermans.<br />

2009. Size and composition of ego-centered social<br />

networks and their effect on travel distance and contact<br />

frequency. Paper presented at the 88th Annual Meeting<br />

of the Transportation Research Board. Washington, D.C.,<br />

USA.<br />

Zhang, J., H. J. P. Timmermans and A. W. J. Borgers.<br />

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use for independent, shared, and allocated activities<br />

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Research Record 1807: 1–8.


Urban Sustainability and Transportation: Research Framework for Medium and Long Term Transport Planning<br />

K.W. Axhausen is Professor of Transport Planning at the ETH Zürich.<br />

Prior to this, he worked at the Leopold-Franzens Universität, Innsbruck,<br />

Imperial College London, the University of Oxford and the Universität<br />

Karlsruhe. He has been involved in the measurement and modelling<br />

of travel behaviour for the last 25 years, contributing especially to the<br />

literature on stated preferences, micro-simulation of travel behaviour,<br />

valuation of travel time and its components, parking behaviour, activity<br />

scheduling and travel diary data collection. His current work focuses on<br />

the agent-based micro-simulation toolkit MATSim (see www.matsim.org) and on the land-use/<br />

transport interaction.<br />

Alex Erath is currently senior researcher and research module<br />

coordinator at the Future Cities Laboratory. He obtained his PhD<br />

from the Swiss Federal Institute of Technology ETH where he studied<br />

the vulnerability of transport infrastructure. He was also involved<br />

in various projects focusing on measuring and modelling transport<br />

related decision processes. His MSc. thesis in Civil Engineering at<br />

ETH on shopping location choice was awarded with the VSS price<br />

for the best thesis in Road and Transportation research.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

19


Transport Mobility Management: Small Changes - Big Impacts<br />

Transport Mobility Management: Small<br />

Changes - Big Impacts<br />

Understanding TMM in the Urban Context<br />

Damian PRICE and Amy LEATHER<br />

Abstract<br />

Although Transport Mobility Management (TMM) is still considered a relatively new<br />

element of the transport practitioner’s toolbox, it is increasingly being adopted by<br />

governments and city planners as a dynamic approach that can support a wide range<br />

of environmental, economic and social goals. This paper presents three examples of<br />

international best practices in TMM and examines their success in the implementation of<br />

a variety of measures and initiatives. It argues that the more successful TMM initiatives<br />

are those that are embedded in the wider transport approach of a government, authority<br />

or service provider. It goes on to identify the top ten factors for success that should be<br />

considered when taking forward TMM.<br />

What is Transport Mobility<br />

Management?<br />

Transport Mobility Management (also known<br />

as Transport or Travel Demand Management)<br />

has been a key tool in transport planning since<br />

the early 1990s. The idea that the demand<br />

for transport could and indeed should be<br />

managed marked a shift in attitude from the<br />

earlier ‘predict and provide’ approach, where<br />

future transport demand was predicted and<br />

the necessary infrastructure was provided.<br />

At the core of its definition is the ability to<br />

influence travel behaviour and shift travel<br />

activity to achieve a desired site or location<br />

specific objective. This could be a reduction<br />

in car use to ease congestion and improve<br />

journey times along a particular route, or an<br />

increase in the use of a particular mode of<br />

transport to support its operation. A study<br />

carried out by the European Union defines<br />

mobility management as follows:<br />

20 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

management is primarily a<br />

demand-oriented ‘‘Mobility approach to transport<br />

that involves new partnerships and a set of<br />

tools to support and encourage change of<br />

attitude and behaviour towards sustainable<br />

modes of transport. These tools are usually<br />

based on information and organisation,<br />

coordination and require promotion.<br />

Mobility management addresses specific<br />

target groups and has developed a range of<br />

instruments, best known are the mobility centre<br />

and the mobility plan. Mobility management is<br />

a constant process of development<br />

”<br />

Source: European projects,<br />

MOSAIC and MOMENTUM<br />

The phrases in bold are at the heart of the<br />

mobility management approach. The set of<br />

tools that can be used as part of an overall<br />

TMM strategy are wide-ranging. The crucial<br />

issue is that ‘hard’ infrastructure measures


The idea that the demand for transport<br />

could and indeed should be managed<br />

marked a shift in attitude from the<br />

earlier ‘predict and provide’ approach,<br />

where future transport demand<br />

was predictedand the necessary<br />

infrastructure was provided.<br />

are supported by ‘soft’ measures that include<br />

engagement, marketing, and information<br />

provision. These ‘soft’ measures are<br />

the elements that make TMM distinctive<br />

from traditional forms of transport planning;<br />

they complement and reinforce the ‘hard’<br />

infrastructure measures, thus maximising the<br />

potential impact. Table 1 shows the various<br />

TMM strategies that can be adopted and<br />

examples of corresponding hard and soft<br />

measures that can be implemented. Some of<br />

these measures can be adopted at the city<br />

level, for example, the provision of a new bus<br />

route; whilst others can be adopted at a site<br />

specific level, for example, limiting the car<br />

parking availability at a particular organisation.<br />

Today, an increasingly multi-disciplinary<br />

approach is being taken to transport planning,<br />

where it is recognised that the application<br />

of mobility management principles can<br />

successfully support not only environmental<br />

goals by encouraging the use of more<br />

sustainable goals of travel, but also a wide<br />

range of land use planning, economic and<br />

social goals.<br />

Mobility Management in Practice<br />

To date, governments in the UK, USA, Europe<br />

Transport Mobility Management: Small Changes - Big Impacts<br />

and Australia have been the most proactive<br />

in adopting and applying TMM tools and<br />

strategies. Generally, the key objectives<br />

have been to reduce traffic congestion and<br />

associated negative effects, such as increased<br />

journey times, and to achieve a shift in travel<br />

behaviour towards the use of more sustainable<br />

modes. Two established examples of best<br />

practices in TMM in the UK and Ireland are<br />

discussed below, followed by the example of<br />

Abu Dhabi, which is currently developing its<br />

own comprehensive TMM strategy.<br />

London Borough of Sutton, UK<br />

The application of TMM measures at a small<br />

scale can still be highly effective in achieving<br />

sustained changes to travel behaviour. The<br />

Smarter Travel Sutton project was launched<br />

in 2006 as a three year, £5m scheme, to<br />

introduce measures and initiatives that would<br />

encourage sustainable travel behaviour. The<br />

project focused on soft measures, such as,<br />

the provision of travel information, marketing<br />

and promotion, rather than installing new<br />

infrastructure. The key measures adopted and<br />

their achievements are shown in Table 2.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

The Smarter Travel Sutton project<br />

was launched in 2006 as a three year,<br />

£5m scheme, to introduce measures<br />

and initiatives that would encourage<br />

sustainable travel behaviour.<br />

Project planning took place as part of an annual<br />

cycle of activities, with a feedback loop built into<br />

the process to ensure that lessons were learnt and<br />

continual improvements were made. Figure 1<br />

illustrates the annual cycle of phased activity.<br />

21


Transport Mobility Management: Small Changes - Big Impacts<br />

Table 1: The Transport Mobility Management Toolkit<br />

TMM Tools Hard Measures Soft Measures<br />

Provision of improved<br />

travel options<br />

Incentives to use more<br />

sustainable modes /<br />

disincentives to travel<br />

by car<br />

Land use<br />

management<br />

Policy and institutional<br />

reform<br />

Marketing, awareness,<br />

promotion and<br />

engagement<br />

Travel reduction<br />

initiatives<br />

• New public transport routes /<br />

services<br />

• Private shuttle buses for<br />

employers<br />

• Dedicated cycle lanes and other<br />

cycling support facilities<br />

• Improved pedestrian footways<br />

and other walking support<br />

facilities<br />

• Reduce availability of car<br />

parking spaces<br />

• High Occupancy Vehicle priority<br />

• Provision of cycle parking<br />

• Transit Oriented Developments<br />

• Streetscape improvements, e.g.,<br />

pedestrianisation<br />

Implementation Tools • Workplace TMM plans<br />

• School TMM Plans<br />

• Visitor TMM Plans<br />

• Residential TMM Plans<br />

• Personal TMM Plans<br />

22 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

• Provision of travel information, e.g.,<br />

route maps which show safe walking<br />

and cycling routes<br />

• Implementation of a car sharing<br />

database<br />

• Cycle training<br />

• Cycle training<br />

• Discounted tickets for use on public<br />

transport services<br />

• Parking pricing strategies<br />

N.A. • Requirement for site specific<br />

TMM plans to be prepared and<br />

implemented for new developments<br />

• Policy changes to encourage<br />

transport service competition and<br />

efficiency<br />

• Integration of land use and transport<br />

planning agencies<br />

N.A. • Special events, e.g., ‘Walk to Work<br />

on Wednesday’ and ‘In Town<br />

Without My Car Day’<br />

• Branding, e.g., logos<br />

• Provision of travel information, e.g.,<br />

on company websites<br />

• Social marketing campaigns<br />

• Promotional initiatives to support<br />

new / existing specific elements of<br />

TMM<br />

N.A. • Flexible working, smarter working<br />

methods, e.g., working from home,<br />

compressed working hours<br />

N.A.


Table 2: Key Measures Adopted in the Smarter Travel Sutton Project<br />

Initiative Key Achievements<br />

Workplace travel planning – support and<br />

advice offered to larger employers to assist<br />

them in the development and implementation<br />

of their own travel plan<br />

School travel planning – each school<br />

was offered support and advice in the<br />

development and implementation of their<br />

own travel plan<br />

Personalised travel planning – every<br />

household was offered tailored travel<br />

information and incentives to use appropriate<br />

sustainable modes. Residents were also<br />

targeted through doctor referrals<br />

Car clubs – on-street vehicles that can be<br />

booked in advance and rented out by the<br />

hour by car club members<br />

Promotion of cycling – provision of cycle<br />

training, additional on-street cycle parking<br />

spaces, themed events<br />

Marketing, awareness and promotions –<br />

major festivals, events and roadshows, direct<br />

marketing campaigns, incentives and rewards<br />

The case study of Sutton offers some<br />

interesting and useful lessons in behaviour<br />

change that should be considered in the future<br />

application of TMM. Although the project has<br />

achieved measureable success, the adoption of<br />

some behavioural change theories could have<br />

increased the level of effectiveness of the overall<br />

approach taken. The Diffusion of Innovation<br />

Transport Mobility Management: Small Changes - Big Impacts<br />

• All major employers engaged; 16,000<br />

employees covered<br />

• Average 2% reduction in car use for work<br />

trips<br />

• First London Borough with 100% school<br />

travel plan coverage<br />

• Average 5% point reduction in car use<br />

for trips to school (some schools achieved<br />

reductions as high as 17%)<br />

• 52% of the participants who participated<br />

in the doctor referral scheme reported<br />

reducing their car use<br />

• 300 car club members and 16 vehicles in<br />

the scheme<br />

• Average utilisation equates to six hours per<br />

day per car<br />

• 50% increase in the number of recorded<br />

cycle trips compared to stable levels across<br />

other outer London Boroughs<br />

• Increase in awareness of available<br />

alternative travel modes<br />

• Contribution to mode shift results, e.g.,<br />

13% growth in the number of bus<br />

passengers in the borough compared to a<br />

9% increase in an adjoining borough<br />

model explains how a new technology or<br />

idea becomes adopted by a population.<br />

Those people who are first to adopt the new<br />

technology or idea are described as Innovators,<br />

followed by Early Adopters, Early Majority, Late<br />

Majority and Laggards. They can be arranged<br />

linearly on a bell curve as shown in Figure 2.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

23


Transport Mobility Management: Small Changes - Big Impacts<br />

Although the project has achieved<br />

measureable success, the adoption<br />

of some behavioural change<br />

theories could have increased the<br />

level of effectiveness of the overall<br />

approach taken.<br />

Although one of the key objectives of the<br />

project was to target the Early Adopters and<br />

the Early Majority through the initiatives set out<br />

in Figure 2, it may have been more effective<br />

if baseline consumer research was carried out<br />

into the characteristics of these Early Adopters.<br />

In addition, for some of the key measures,<br />

such as, the promotion of cycling and the<br />

introduction of car clubs, it may have been<br />

more effective to focus on the likely Innovators,<br />

given that relatively few people in Sutton were<br />

using these modes at the outset of the project.<br />

Smarter Travel Ireland<br />

In some cases, the move towards the<br />

application of TMM is facilitated by the<br />

24 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Figure 1: Sutton Smarter Travel Project Delivery Cycle (Source:<br />

‘Smarter Travel Sutton: Lessons Learnt in the Delivery of a Behaviour<br />

Change Programme, Summary Report,’ <strong>November</strong> 2009).<br />

introduction of an overarching national policy<br />

on sustainable travel. In the case of Ireland,<br />

it was the adoption in 2009 of the ‘Smarter<br />

Travel: A Sustainable Transport Future’ strategy<br />

published by the Irish National Government<br />

that led to increased investment and interest in<br />

the promotion of sustainable modes of travel.<br />

Figure 2: Diffusion of Innovation Model (Source: ‘Smarter Travel Sutton: Lessons Learnt in the Delivery of a Behaviour Change<br />

Programme, Summary Report,’ <strong>November</strong> 2009).<br />

Innovators<br />

2.5%<br />

Early<br />

Adopters<br />

13.5%<br />

Early<br />

Majority<br />

34%<br />

Late<br />

Majority<br />

34%<br />

Reporting<br />

dissemination<br />

and<br />

improvement<br />

Monitoring<br />

and evaluation<br />

Laggards<br />

16%<br />

Strategy<br />

development<br />

Project<br />

management<br />

and staff<br />

management<br />

100<br />

75<br />

50<br />

25<br />

0<br />

Markets Share %<br />

Forward<br />

planning<br />

programme<br />

and budget<br />

forecast<br />

Programme<br />

and budget<br />

management


As resources to implement such policy<br />

initiatives are limited, one of the key initiatives<br />

developed by the Irish Government in support<br />

of the Smarter Travel strategy is a national<br />

funding competition that was established to<br />

deliver outstanding and innovative examples<br />

of sustainable travel in areas across Ireland.<br />

Local governments are required to develop<br />

an appropriate package of measures and<br />

demonstrate adequate stakeholder support for<br />

such measures. Such a competition means that<br />

only those strategies and measures considered<br />

to be most effective are funded.<br />

One of the 11 shortlisted Stage 1 applicants<br />

that were invited to progress to Stage 2<br />

is Limerick City Council. Limerick and the<br />

other shortlisted applicants competed for<br />

funding of up to £50m over five years to<br />

transform them into world class Smarter Travel<br />

demonstration zones. Limerick City Council’s<br />

overarching programme contains four separate<br />

geographical areas of focus, each with their<br />

own distinct target groups:<br />

1. City Centre – employees;<br />

2. Southill – regeneration;<br />

3. Corbally – residential; and<br />

4. Castletroy / University – mixed use.<br />

Specific initiatives and campaigns were<br />

developed for each target group or hub, which<br />

sat underneath the over-arching, area wide<br />

TMM programme. Thus, the local authority<br />

had the ability to amend or ‘tweak’ its TMM<br />

approach in order to engage more appropriately<br />

with relevant target groups. These hubs are<br />

the key local trip attractors and generators in<br />

Limerick and therefore form a suitable basis for<br />

the development of smarter travel initiatives. It<br />

Transport Mobility Management: Small Changes - Big Impacts<br />

is proposed that local champions be designated<br />

for each hub, who will provide a recognisable<br />

‘face’ behind the initiative and help to achieve<br />

maximum levels of public awareness and also<br />

local ownership. Each hub will be the focus of<br />

a number of initiatives, summarised in Table 3 .<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

In some cases, the move towards the<br />

application of TMM is facilitated by<br />

the introduction of an overarching<br />

national policy on sustainable travel.<br />

One of the key factors in Limerick’s successful<br />

bid was that it demonstrated a high level of<br />

political and stakeholder support for the<br />

measures it proposed. Limerick City Council<br />

and Limerick County Council worked together<br />

in partnership with the University of Limerick<br />

to develop the overarching programme. In<br />

addition, the measures proposed not only<br />

encourage sustainable travel, but also a shift<br />

to more healthy and sustainable lifestyles.<br />

One of the key factors in Limerick’s<br />

successful bid was that it demonstrated<br />

a high level of political and stakeholder<br />

support for the measures it proposed.<br />

Implementation of TMM in<br />

Abu Dhabi<br />

The Emirate of Abu Dhabi took the decision to<br />

develop a TMM strategy as part of its Surface<br />

Transport Master Plan process in 2008. The<br />

Emirate is experiencing significant changes; a<br />

potential trebling of the population by 2030<br />

and extensive plans for the development of<br />

public transport. Prior to 2007 there were few<br />

25


Transport Mobility Management: Small Changes - Big Impacts<br />

Table 3: Overview of Measures Proposed as Part of Limerick City Council’s Smarter Travel Bid<br />

Measures<br />

Cycling / Walking • New cycle lanes and walkways.<br />

• Installation of Advanced Stop Lines (ASLs) for cyclists at traffic signal<br />

junctions<br />

• New covered cycle parking<br />

• Adult cycle training lessons<br />

• Provision of bike racks on local bus services<br />

Travel Planning • Appointment of Mobility Co-Ordinator<br />

• Employer Travel Plan Networks<br />

• School / residential / student / station travel planning<br />

• Car sharing management tool<br />

Research and Marketing • Local campaigns and events to support the use of particular modes<br />

e.g. electric vehicles<br />

• GIS mapping of commuters<br />

Policy Changes • Introduction of thresholds for travel planning into local policy<br />

• Park and Ride scheme<br />

• Real time bus information<br />

• Parking regulations<br />

• Parking management<br />

• Speed limit changes<br />

or no alternatives to the private car. The newly<br />

developed bus network already experiences<br />

significant demand and there are plans to<br />

The Emirate is experiencing significant<br />

changes; a potential trebling of the<br />

population by 2030 and extensive plans<br />

for the development of public transport.<br />

supplement this with a light rail system and a<br />

metro system. Despite the economic downturn<br />

of 2009, there is still considerable development<br />

taking place across the Emirate; most markedly<br />

within the city centre.<br />

TMM development began in January <strong>2011</strong> and<br />

is scheduled for completion at the end of the<br />

year. Core elements of the Abu Dhabi TMM<br />

approach include:<br />

26 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

• A review of wider transport activity to<br />

understand how and where TMM can fit into<br />

the ongoing development of the transport<br />

network;<br />

• A review of international best practices in<br />

TMM to understand the strategies and tools<br />

that work well and those that don’t;<br />

• Pilot TMM plans at a range of sites across the<br />

Emirate, including workplaces, schools and<br />

visitor attractions;<br />

• The development of various surveying tools<br />

that will facilitate the adoption of a robust,<br />

standardised approach to monitoring that<br />

will substantiate further development of<br />

TMM;<br />

• Modelling and quantitative assessment, to<br />

better understand the potential impacts<br />

of TMM on congestion, trip numbers and<br />

carbon emissions;


• The development of a brand for TMM in<br />

Abu Dhabi and an associated marketing<br />

programme;<br />

• Identification of the legislative and policy<br />

changes needed to support TMM;<br />

• Guidance on the incorporation of TMM in the<br />

development process;<br />

• The d e v e l o p m e n t of a short-term<br />

implementation programme and action plan;<br />

• The preparation of a TMM Toolkit that<br />

organisations can use in taking forward their<br />

own TMM plans; and<br />

• An overarching TMM strategy that sets out<br />

how the concept can be moved forward.<br />

This programme is the most ambitious<br />

application of TMM in the region. As it is also a<br />

relatively new concept, a number of challenges<br />

have arisen. A summary of the key issues that<br />

the TMM programme has needed to address is<br />

provided in Table 4.<br />

Table 4: Core Challenges for TMM in Abu Dhabi<br />

Transport Mobility Management: Small Changes - Big Impacts<br />

Critical Factors for Success<br />

Whilst TMM is still considered a relatively<br />

new element of the transport practitioner’s<br />

toolbox, the examples cited above are part of<br />

a growing evidence base of TMM approaches<br />

and applications across the world. The more<br />

successful TMM initiatives are those that are<br />

embedded in the wider transport approach of<br />

a government, authority or service provider.<br />

TMM is not a stand alone concept; it is a<br />

dynamic approach that can maximise the<br />

potential of new and existing infrastructure<br />

and policy (Table 5).<br />

Challenge Approach Taken to Address Challenge<br />

1. A lack of awareness of<br />

TMM<br />

2. The view that TMM is<br />

solely a European / USA<br />

concept<br />

3. The need to understand<br />

the potential Abu Dhabi<br />

specific benefits of TMM<br />

4. The need to quantify the<br />

potential benefits<br />

5. A lack of TMM skills<br />

and experience that<br />

are needed to ensure<br />

momentum is maintained<br />

An extensive stakeholder engagement programme to inform<br />

and secure buy-in<br />

The need to keep driving home the message that TMM is<br />

about delivering site specific / locally appropriate initiatives<br />

that meet the needs of local users.<br />

Close engagement with pilot organisation to assess the role<br />

that TMM can play and where the benefits lie. The key output<br />

was that TMM will play a useful role in the Corporate and<br />

Social Responsibility agenda.<br />

An impacts assessment undertaken to show the potential<br />

benefits. This, along with the use of international best<br />

practice examples helps to facilitate the roll out of the TMM<br />

programme.<br />

Whilst TMM is not an expensive initiative in comparison to<br />

new infrastructure projects, it is labour intensive. It requires<br />

ongoing input from those that understand TMM to upskill<br />

new individuals and organisations. This can be done quite<br />

quickly but cannot be ignored.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

TMM is not a stand alone concept;<br />

it is a dynamic approach that can<br />

maximise the potential of new and<br />

existing infrastructure and policy.<br />

27


Transport Mobility Management: Small Changes - Big Impacts<br />

Table 5: Top Ten TMM Measures for Success<br />

Top Ten TMM Measures for Success: These factors are by no means exhaustive.<br />

However, they do provide a useful core checklist that can contribute to the successful<br />

implementation of TMM.<br />

1. A National Approach TMM needs to be defined at the national level, with a consistent<br />

approach adopted countrywide. This is not to say that initiatives<br />

need to be on a national scale. However, the core TMM objective<br />

and philosophy needs to be set out at the highest level.<br />

2. Integration with<br />

Land Use Planning<br />

and Wider Policy<br />

3. Incorporation into<br />

the Development<br />

Process<br />

4. High Level<br />

Commitment<br />

5. A Robust Stakeholder<br />

Engagement<br />

Approach<br />

6. Pilot Studies to<br />

Gather Evidence of<br />

Success<br />

TMM is not a stand alone element of transport planning. Our<br />

earlier examples highlight how the impact of TMM measures can<br />

be increased when incorporated into wider planning and transport<br />

impacts. When any transport or planning decision is being made,<br />

the question should be asked, ‘What is the role of TMM in this?’<br />

TMM can have the biggest impact when incorporated into new<br />

developments. Many countries across the world require new<br />

developments above a specified size to develop a site specific<br />

TMM plan that mitigates the transport impact on the surrounding<br />

network. The TMM plan does not facilitate additional traffic – it proactively<br />

reduces it.<br />

TMM needs to have senior level support and buy-in. It needs to<br />

have ‘innovators’ who support the concept from the outset.<br />

A key element of TMM is the way in which it achieves stakeholder<br />

involvement from a wide range of societal sectors. These could be<br />

business leaders who facilitate the implementation of TMM plans in<br />

the workplace, or schools which influence student travel. A robust<br />

TMM programme needs to identify who it should engage with,<br />

when, how and why (refer to the Bell Diffusion of Innovation Model<br />

noted earlier).<br />

It is important to understand which are the site specific TMM quick<br />

wins in a particular area. What are peoples’ views on TMM? These<br />

will differ from city to city and country to country. Therefore, the<br />

best way to ensure that a TMM programme is right for an area is<br />

to undertake pilot studies. This also ensures that quick wins can be<br />

implemented; thus people can see the benefits immediately.<br />

28 JOURNEYS | <strong>November</strong> <strong>2011</strong>


7. Targeting and<br />

Segmentation<br />

8. Branding,<br />

Marketing and<br />

Social Marketing<br />

9. Emphasising the Site<br />

Specific Nature of<br />

TMM<br />

10. Recognition that<br />

TMM is for the<br />

Longer Term<br />

Transport Mobility Management: Small Changes - Big Impacts<br />

A number of different messages can be used to achieve TMM<br />

objectives. For this to be done successfully, specific target groups<br />

need to be identified, for example, employees in a particularly<br />

congested part of the city, all Central Government employees or<br />

those with a strong interest in the environment. For each group,<br />

the message and initiatives will differ – as will the propensity to<br />

change travel behaviour. This influences the direction of the TMM<br />

programme.<br />

Awareness is key to the success of any TMM programme. Therefore,<br />

it is useful to have a central, recognised branding strategy. This can<br />

be supported by area wide marketing activities to promote specific<br />

initiatives; for example, the development of a new car sharing tool.<br />

However, the next level – social marketing – is where the benefits can<br />

truly be realised. This is where campaigns and events are targeted at<br />

specific groups; for example, a TMM roadshow for employers along a<br />

particular public transport route, or a sustainability themed event for<br />

a particular community.<br />

Not all TMM measures are suitable everywhere. Some need to be<br />

enhanced or refined to meet particular local needs. Others are only<br />

appropriate in particular locations. For example, in Abu Dhabi, the<br />

potential for cycling in the summer months is limited due to the hot<br />

climate.<br />

The definition at the beginning of this paper highlights that TMM is a<br />

continuous process. It does not stop at a particular point. TMM is an<br />

ongoing concept that changes over time to best meet and address the<br />

needs of the target groups it is designed for.<br />

Conclusion<br />

Mobility management has the power to create a shift in overall attitudes and perceptions to travel<br />

and transport. It has achieved significant success in a variety of cities across the globe and could<br />

be an integral part of the forward planning of many more.<br />

References<br />

Mott MacDonald Ltd. 2009. ‘National Smarter Travel<br />

Areas Competition: Limerick City Council and Limerick<br />

County Council in Partnership with the University of<br />

Limerick’, October 2009.<br />

www.smartertravel.ie (accessed 13 September <strong>2011</strong>).<br />

The Mayor of London, the London Borough of Sutton<br />

and Transport for London. 2009. ‘Smarter Travel Sutton:<br />

Lessons Learnt in the Delivery of a Behaviour Change<br />

Programme, Summary Report’, <strong>November</strong> 2009.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

29


Transport Mobility Management: Small Changes - Big Impacts<br />

Damian Price is a Senior Project Manager at Mott MacDonald. He has<br />

extensive international experience in sustainable transport and mobility<br />

management and has been appointed to:<br />

• Transport for London’s Travel Plan Site Specific Advice Panel;<br />

• The Olympic Delivery Authority’s Travel Advice to Businesses Panel of<br />

Advisors; and<br />

• The Irish Department of Transport’s Panel of Expert Technical<br />

Advisers for ustainable Travel.<br />

Damian is currently Project Manager for the development of an Emirate-wide TMM strategy for<br />

Abu Dhabi, which aims to promote sustainable transport behaviour and facilitate a sustained<br />

change in attitudes to travel.<br />

Amy Leather is a Transport Planner in Mott MacDonald’s Singapore office.<br />

Amy has been involved in the development of a wide range of TMM plans<br />

in the UK, Ireland and the Middle East and has successfully delivered<br />

sustainable travel initiatives on behalf of public sector agencies and for<br />

private organisations, including workplaces, residential developments and<br />

event venues. Amy is currently developing policy guidance on behalf of<br />

Abu Dhabi Department of Transport to integrate the requirement for TMM<br />

plans into the planning process. She is also developing a TMM Plan Toolkit, which provides best<br />

practice guidance in the development of TMM plans for workplaces, educational institutions,<br />

residential developments and visitor attractions.<br />

30 JOURNEYS | <strong>November</strong> <strong>2011</strong>


Different Approaches to Public<br />

Transport Provision<br />

David A. HENSHER and Gabriel WONG<br />

Abstract<br />

Public transport is an essential service, and ensuring its effective and efficient provision<br />

is a priority of many governments. Different cities have adopted different approaches to<br />

public transport provision, each with its merits and shortcomings. This article provides<br />

a brief overview of the main approaches – government operation, competition in<br />

the market, government regulation of fares and services, competitive tendering, and<br />

negotiated performance-based contracts – with some real-world examples. There<br />

is no one-size-fits-all model, and cities have to decide the appropriate approaches<br />

for themselves based on their contexts and priorities. Singapore adopts an approach<br />

where the government regulates public transport fares and services provided by private<br />

operators. This has worked reasonably well, with some room for improvement.<br />

Introduction<br />

Travelling is part and parcel of modern urban<br />

living – people travel for work, education,<br />

recreation and many other reasons. For<br />

those who do not own motor vehicles,<br />

public transport could be their main means<br />

of travel. Because of its economic and social<br />

importance, public transport is considered<br />

an essential service in most cities, much like<br />

electricity, water and telecommunications.<br />

Hence ensuring effective and efficient<br />

provision of public transport services is a<br />

priority of most governments.<br />

Different cities have adopted different<br />

approaches to public transport provision, each<br />

with their own pros and cons. The history of<br />

public transport in many cities shows how<br />

views on the appropriate method of provision<br />

have evolved over time. This article aims to<br />

provide a brief survey of different approaches<br />

of public transport provision and Singapore’s<br />

approach. A global perspective is provided<br />

in the many papers from the International<br />

Conference Series on Competition and<br />

Ownership of Land Passenger Transport<br />

(the “Thredbo Series” http://www.thredboconference-series.org/papers/).<br />

Historical Trends in Public<br />

Transport Provision<br />

There was a wave of nationalisation in the 1940s<br />

to 1970s followed by privatisation from the late<br />

1970s in many countries. At the core of the<br />

nationalisation and privatisation waves were<br />

those industries providing essential services,<br />

such as public transport, telecommunications,<br />

electricity and gas.<br />

In the first half of the 20th century, urban public<br />

transport services in the UK and the US were<br />

mainly provided by private enterprises.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Different Approaches to Public Transport Provision<br />

31


Different Approaches to Public Transport Provision<br />

However, rapidly rising automobile ownership<br />

after the Second World War led to a drastic<br />

decline in public transport ridership and<br />

revenues. Public transport service levels fell as<br />

these transport enterprises cut costs to survive.<br />

To maintain service provision, governments<br />

decided to nationalise their decrepit public<br />

transport industries by taking over the failed<br />

transport enterprises in the 1940s to 1960s.<br />

Due to inefficiency and the lack of<br />

incentives to reduce costs, unit operating<br />

costs in many government-operated public<br />

transport enterprises increased steadily after<br />

nationalisation. Public transport operations<br />

had to be heavily subsidised to maintain<br />

service levels and affordable fares. With rising<br />

government debt in many countries since the<br />

1970s, it became increasingly unsustainable<br />

to continue subsidising public transport. The<br />

lack of funds also led to significant underinvestment<br />

in public transport infrastructure<br />

and assets.<br />

Due to inefficiency and the lack<br />

of incentives to reduce costs, unit<br />

operating costs in many governmentoperated<br />

public transport<br />

enterprises increased steadily after<br />

nationalisation.<br />

Since the 1980s, many cities in Australia,<br />

Europe, the UK and the US have privatised public<br />

transport provision, in attempts to harness the<br />

market to keep costs down and tap on private<br />

finance for infrastructure investment. It was<br />

believed that, under private ownership and<br />

operation, the profit motive would incentivise<br />

32 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

operators to be efficient, innovative and reduce<br />

costs. These would in turn reduce the need for<br />

government subsidies, hence lightening the<br />

fiscal burden on governments and taxpayers. In<br />

addition, lower unit operating costs of private<br />

operators could also lead to lower fares.<br />

In many cities, privatisation was accompanied<br />

by the introduction of competitive tendering<br />

for public transport provision in the 1980s<br />

and 1990s, which usually led to substantial<br />

unit cost reductions. However, in several cases,<br />

unit costs actually increased in subsequent<br />

competitive tenders without corresponding<br />

service improvements. This has led to<br />

discussions over the need for an alternative<br />

approach to competitive tendering in the form<br />

of negotiated performance-based contracts<br />

(Hensher 2007).<br />

In many cities, privatisation was<br />

accompanied by the introduction<br />

of competitive tendering for public<br />

transport provision in the 1980s and<br />

1990s which usually led to substantial<br />

unit cost reductions.<br />

Public Transport Industry<br />

Structure<br />

Similar to electricity, water, gas and<br />

telecommunications, a large proportion<br />

of public transport costs comes from<br />

expenditure on infrastructure, for example,<br />

bus interchanges, rail stations and tracks, and<br />

operating assets, such as trains and buses. The<br />

other main cost component is the costs of<br />

operations and equipment maintenance. Due<br />

to the high fixed costs relative to operating


costs, public transport, especially in local<br />

urban contexts, can be considered a natural<br />

monopoly with significant economies of scale.<br />

This means that one large operator can supply<br />

public transport services at lower costs than<br />

two or more smaller operators.<br />

Due to the high fixed costs relative<br />

to operating costs, public transport,<br />

especially in local urban contexts, can<br />

be considered a natural monopoly<br />

with significant economies of scale.<br />

This means that one large operator<br />

can supply public transport services<br />

at lower costs than two or more<br />

smaller operators.<br />

While there are potential benefits, there are<br />

also risks associated with privatisation. Basic<br />

economic theory warns of the dangers of<br />

monopoly, public or private. Driven by the profit<br />

motive, private monopolies could exploit their<br />

market power to charge much higher prices<br />

than would have been possible with market<br />

competition. They may also reduce costs by<br />

lowering service levels, such as reducing service<br />

frequencies and equipment maintenance<br />

levels. An effective regulatory framework with<br />

price control must be in place to ensure that<br />

monopoly exploitation does not occur.<br />

Different Approaches to Public<br />

Transport Provision<br />

Government Operators<br />

Some would argue that, since private<br />

monopolies are likely to abuse their market<br />

power, it would be preferable to nationalise<br />

public transport. Nationalisation can be<br />

defined in several ways, for example, it could<br />

mean the government taking over transport<br />

planning, ownership of infrastructure, or<br />

service provision. In this article, nationalisation<br />

is defined specifically as government provision<br />

of public transport services.<br />

Proponents believe that government-run public<br />

transport operators which are not profit-driven<br />

would be less likely to abuse their market power,<br />

and would place greater priority on public<br />

service objectives, such as affordable fares and<br />

service enhancement. The government would<br />

also have more direct control over fares, supply<br />

of services, and service quality.<br />

However the lack of a profit motive provides<br />

little incentive for government operators to<br />

be efficient. While it is possible to set clear<br />

performance objectives for public enterprises,<br />

the experience in several countries has shown<br />

that government operators have generally<br />

failed to operate efficiently and their unit costs<br />

have increased steadily over the years. They<br />

would also face greater political pressure to<br />

provide unprofitable services.<br />

A benchmarking study done in 2008 compared<br />

Sydney’s government-run rail operator CityRail<br />

with Melbourne’s private rail operator Connex<br />

(LEK 2008). Both operators were comparable in<br />

scale but there was a disparity in cost efficiency.<br />

Using data from 2006/7, the study found that<br />

Connex’s costs were lower than CityRail’s.<br />

Connex’s annual rolling stock costs were 40%<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Different Approaches to Public Transport Provision<br />

Some would argue that, since private<br />

monopolies are likely to abuse their<br />

market power, it would be preferable<br />

to nationalise public transport.<br />

33


Different Approaches to Public Transport Provision<br />

less than CityRail’s. Connex’s crewing costs per<br />

service kilometre were about half of CityRail’s,<br />

while the former’s station costs per passenger,<br />

overhead costs per service kilometre, and<br />

employees per service kilometre were less than<br />

half of the latter’s.<br />

Proponents believe that governmentrun<br />

public transport operators<br />

which are not profit-driven would<br />

be less likely to abuse their market<br />

power, and would place greater<br />

priority on public service objectives,<br />

such as affordable fares and service<br />

enhancement.<br />

Competition in the Market<br />

At the other extreme, the government could<br />

deregulate (through relaxing price and quantity<br />

controls) the public bus services market and<br />

allow private operators to compete in the<br />

market. Operators are allowed to choose<br />

the routes they wish to serve and set fare<br />

and service levels. This could lead to cherrypicking<br />

where only profitable routes with<br />

high commuter demand would be served,<br />

sometimes by more than one operator, as is the<br />

case in New Zealand. Competition between<br />

the operators, however, encourages them to<br />

be cost efficient and reduce their operating<br />

costs, and could lead to increased choice and<br />

lower fares for commuters, but the evidence in<br />

urban areas is that natural monopoly tends to<br />

result in a single service provider.<br />

However, competition in the market, with more<br />

than one operator providing bus services on<br />

the same routes, leads to wasteful duplication<br />

of fixed costs and may prevent operators<br />

34 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

from reaching sufficient size to benefit from<br />

economies of scale. In addition, unprofitable<br />

routes with low commuter demand would not<br />

be served. This could lead to a fragmented<br />

public transport system with poor connectivity<br />

and accessibility where commuters have to<br />

make several transfers and journey times are<br />

long. Competition for passengers between<br />

buses could also lead to unsafe driving and<br />

unreliable schedules.<br />

Competition in the market, with more<br />

than one operator providing bus<br />

services on the same routes, leads to<br />

wasteful duplication of fixed costs<br />

and may prevent operators from<br />

reaching sufficient size to benefit<br />

from economies of scale.<br />

Although unit costs fell after privatisation and<br />

deregulation of bus services, the experiences<br />

of Sri Lanka with ‘peoplisation’ in the 1990s<br />

(Gomez-Ibanez 1997) and Britain (outside<br />

London) after deregulation in 1986, show<br />

the shortfalls of competitive and unregulated<br />

bus markets. Their bus networks were not<br />

integrated, leading to unserved corridors and<br />

timings with low demand. Bus drivers drove<br />

recklessly to compete for commuters and<br />

waited at bus stops until their buses were full.<br />

In Sri Lanka, buses were often overcrowded,<br />

old and not well-maintained. Singapore’s<br />

experience with an unregulated bus market<br />

before the 1970s was similar to Sri Lanka’s.<br />

In Britain, bus services in some areas are<br />

monopolised by large operators after they<br />

priced out smaller competitors and fares would<br />

rise.


In Britain, bus services in some areas<br />

are monopolised by large operators<br />

after they priced out smaller<br />

competitors and fares would rise.<br />

Government Regulation of Fares<br />

and Services<br />

With privatisation of essential services,<br />

governments often have to be more involved<br />

in regulating monopolistic operators to prevent<br />

abuse of market power. They may have to<br />

regulate prices and service levels to ensure<br />

affordability and minimum service standards.<br />

Fare regulation involves the regulator<br />

controlling fares that the public transport<br />

operator could charge. The criteria for deciding<br />

an appropriate fare level could include operator’s<br />

costs, rate of return on assets, improvements<br />

in productivity and fare affordability. If such<br />

criteria are applied correctly, the resulting<br />

subsidy is optimal in terms of value for money.<br />

To prevent operators from cutting corners<br />

to increase profits, it may be necessary<br />

for regulators to specify minimum service<br />

standards that operators have to comply<br />

with or be penalised for non-compliance.<br />

The standards could include service coverage,<br />

frequency, crowding and vehicle breakdowns.<br />

To improve public transport accessibility,<br />

regulators may require that operators serve<br />

some unprofitable routes and off-peak hours<br />

as a condition for the rights to operate services.<br />

The success of government regulation requires<br />

that regulators be able to approximate the<br />

optimal level of fares and service standards.<br />

Optimal fares have to be affordable to most<br />

commuters, but allow operators to provide<br />

reasonable quantity and quality of services<br />

and earn adequate profits for shareholder<br />

dividends and capital investment. This is<br />

difficult due to lack of information. The public<br />

may also judge the success of the regulatory<br />

regime based on their perceptions. Public<br />

acceptance would drop if the operators are<br />

perceived to be making excessive profits from<br />

high fares or providing poor quality of service.<br />

Singapore’s current approach to public transport<br />

provision, which will be discussed below, is an<br />

example of government regulation.<br />

Competitive Tendering<br />

Competition is important to ensure that<br />

privatisation improves efficiency. Many cities<br />

have introduced competition for the market<br />

through competitive tendering (CT) of licences<br />

to operate public transport services for a<br />

specified duration, for example, 15 years<br />

to operate a rail line or 5 years to operate<br />

a package of bus services. Cherry-picking<br />

of profitable routes could be prevented by<br />

packaging unprofitable routes with profitable<br />

ones or by provision of government subsidies.<br />

Licences could be awarded based on a number<br />

of criteria, for example, track record, proposed<br />

fares and services, or required amount of<br />

government subsidies.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Different Approaches to Public Transport Provision<br />

To prevent operators from cutting<br />

corners to increase profits, it may be<br />

necessary for regulators to specify<br />

minimum service standards that<br />

operators have to comply with or be<br />

penalised for non-compliance.<br />

35


Different Approaches to Public Transport Provision<br />

Cherry-picking of profitable routes<br />

could be prevented by packaging<br />

unprofitable routes with profitable<br />

ones or by provision of government<br />

subsidies.<br />

Interested operators would submit competitive<br />

bids proposing high levels of service, low<br />

fares and low level of government subsidies<br />

in order to win the tenders. If there is intense<br />

competition for the tender, the winning bid<br />

would be close to the outcome with market<br />

competition. The transport regulator would<br />

enter into a contract with the winning operator<br />

based on the proposed terms. The operator<br />

has the incentive to be as efficient as possible<br />

to maximise profits for the limited duration<br />

of the licence. Extension of the licence could<br />

be contingent on the incumbent operator’s<br />

performance. The threat of replacement after<br />

expiry of the licence incentivises the incumbent<br />

to maintain good performance.<br />

Due to the durable, immobile nature of<br />

transport investments and the essential service<br />

nature of public transport, both parties –<br />

the operator and the regulator acting on<br />

behalf of commuters – are vulnerable to<br />

opportunistic behaviour of the other party.<br />

A long-term contract could protect both<br />

parties from opportunism by establishing<br />

clear commitments. The level of commitment<br />

depends on the completeness of the contract;<br />

a more complete contract is able to cover<br />

more contingencies (Hensher 2010). However<br />

it is undesirable and impossible to write a<br />

complete contract with a long duration if the<br />

environment is changing rapidly. A contract<br />

36 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

that is overly prescriptive may be inflexible to<br />

changing circumstances. Drafting a relatively<br />

complete contract may be too difficult and<br />

the transactions costs too high (Gomez-Ibanez<br />

2003).<br />

The threat of replacement after<br />

expiry of the licence incentivises the<br />

incumbent to maintain good performance.<br />

London’s bus system is the oft-cited example<br />

of how one of the world’s largest urban bus<br />

systems has benefited from CT at the route<br />

level. London began privatising its governmentrun<br />

bus operator and tendering bus services<br />

in 1985, and the conversion was completed<br />

by 1999. An expert (Cox 2004) compared<br />

the situation in London before and after the<br />

conversion, and found significant productivity<br />

improvement and cost reductions. Prior to<br />

privatisation and CT, bus costs per vehicle<br />

kilometre had risen 79% between 1970 and<br />

1985. This trend was reversed with costs per<br />

vehicle kilometre falling by 48% from 1985<br />

and 2001. Annual capital and operating<br />

expenditures dropped 26%, despite service<br />

expansion of a similar magnitude in the same<br />

period. Unit costs fell 48% and productivity<br />

measured by level of service per unit of currency<br />

increased 91%. Government subsidies were<br />

reduced substantially and reached a low of<br />

zero subsidies in 1997/8. Similar benefits were<br />

observed for Copenhagen, Stockholm, San<br />

Diego, Denver and Las Vegas after CT was<br />

introduced (Cox 2004).<br />

These cost savings, however, were often onceoff,<br />

a windfall gain. Many of the cities which<br />

experienced cost savings after introducing CT


saw unit costs rising in subsequent tenders,<br />

for example, in London, Copenhagen and<br />

Stockholm (Hensher and Wallis 2005), despite<br />

the primary focus of CT being to lower costs,<br />

subject to prescribed service levels. This<br />

has stimulated discussion on alternatives to<br />

CT, such as negotiated performance-based<br />

contracts (NPBCs) between regulators and<br />

operators, where there is greater emphasis on<br />

service improvement.<br />

Many of the cities which experienced<br />

cost savings after introducing CT<br />

saw unit costs rising in subsequent<br />

tenders...<br />

Negotiated Performance-Based<br />

Contracts<br />

Through negotiations and performance<br />

incentives, NPBCs may better enable the<br />

regulator to tap an operator’s expertise to<br />

facilitate innovation, patronage growth and<br />

service improvement. In addition, transactions<br />

costs of NPBCs are likely to be lower than CT<br />

as operators do not have to spend significant<br />

sums of money to prepare tender proposals.<br />

Efficient incumbent operators also face less<br />

uncertainty associated with renewal of licences,<br />

thus encouraging them to make long-term<br />

investments. Importantly, negotiation increases<br />

trust between the regulators and the operators<br />

which enables better communication and<br />

quicker resolution of issues arising from the<br />

inevitable incompleteness and lack of clarity<br />

in contracts, thus saving time and money<br />

(Hensher and Stanley 2010). Critics point out<br />

that there are risks of regulatory capture and<br />

collusion by operators with NPBCs. However<br />

these risks are also present in CT. NPBCs<br />

could complement CT, with CT as a last resort<br />

when incumbent operators fail to meet their<br />

contractual obligations.<br />

Analysis of a survey of bus contracts throughout<br />

the world confirmed the effects of increased<br />

trust in improving operators’ perceived clarity<br />

and completeness of contract obligations,<br />

which in turn improves the effectiveness<br />

of NPBCs and reduces the uncertainty with<br />

negotiations (Hensher 2010).<br />

The Need for Benchmarks<br />

Where there is only one operator providing<br />

public transport services without competition<br />

(e.g., under regulatory or contractual regimes),<br />

it may not set fares at competitive and<br />

affordable levels. The regulator may have to<br />

dictate fare levels to ensure efficiency and<br />

affordability, but this is difficult because the<br />

regulator does not have as much information<br />

on costs as the operator. Without benchmarks,<br />

it is difficult for the regulator to ascertain<br />

whether the public transport operator is<br />

efficient. Thus the operator is likely to request<br />

for fare increases every time its costs increase,<br />

but it is difficult for the regulator to turn down<br />

the request on the basis of inefficiency. The<br />

presence of other operators under similar<br />

cost conditions could provide benchmark<br />

comparisons for efficiency. The regulator could<br />

compare costs of the various operators to get<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Different Approaches to Public Transport Provision<br />

Analysis of a survey of bus contracts<br />

throughout the world confirmed the<br />

effects of increased trust in improving<br />

operators’ perceived clarity and<br />

completeness of contract obligations...<br />

37


Different Approaches to Public Transport Provision<br />

more information, before deciding whether to<br />

approve applications for fare increases.<br />

The presence of other operators<br />

under similar cost conditions could<br />

provide benchmark comparisons<br />

for efficiency. The regulator could<br />

compare costs of the various<br />

operators to get more information,<br />

before deciding whether to approve<br />

applications for fare increases.<br />

In Sydney (Australia) an effective benchmarking<br />

programme is in place (developed by Hensher<br />

and Saha International) that is used on an<br />

annual basis to identify bus operators (and<br />

soon to include rail and ferries) who satisfy a<br />

number of performance measures and those<br />

who do not. A process is in place to warn<br />

operators who do not pass on at least 6 of<br />

the 8 key performance indicators (of which<br />

cost efficiency and safety are mandatory). The<br />

approach not only ensures operator efficiency<br />

but also provides important data to understand<br />

the performance of the sector, something that<br />

is often missing under CT.<br />

Singapore’s Approach<br />

Singapore’s approach to public transport<br />

provision is based on sound economic theory<br />

and practical considerations. As with most<br />

goods and services in the economy, the<br />

Government believes that public transport<br />

services could be more efficiently provided<br />

by commercially run operators. There are<br />

two multi-modal operators providing rail and<br />

bus services in Singapore. Each operator has<br />

exclusive rights to operate its rail lines and bus<br />

services in its distinct Area of Responsibility.<br />

38 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

The Land Transport Authority (<strong>LTA</strong>) develops the<br />

public transport infrastructure and purchases<br />

the rail operating assets which it leases to the<br />

operators to operate and maintain. Operators<br />

pay licence charges for rights to operate public<br />

transport services. They retain revenues from<br />

fares and rental of commercial spaces in rail<br />

stations and bus interchanges, and pay for the<br />

operating costs without government subsidies.<br />

Recognising that public transport has the<br />

characteristics of a natural monopoly, the<br />

Government has established a tight regulatory<br />

framework to prevent the operators from<br />

abusing their market power to set excessively<br />

high fares and cut corners.<br />

The Public Transport Council (PTC), which is<br />

responsible for regulating bus and rail fares,<br />

uses a Fare Adjustment Formula to determine<br />

the maximum allowable fare increase each<br />

year, based on inflation in the operators’ costs<br />

and a productivity extraction to be shared<br />

with commuters. The average productivity<br />

improvement of the two operators is used<br />

to determine the productivity extraction.<br />

Recognising that public transport has the<br />

characteristics of a natural monopoly,<br />

the Government has established a tight<br />

regulatory framework to prevent the<br />

operators from abusing their market<br />

power to set excessively high fares and<br />

cut corners.<br />

This encourages each operator to be more<br />

efficient than the other. The presence of two<br />

operators allows for benchmark comparison,<br />

and gives a better idea of reasonable costs and<br />

service levels.


The presence of two operators allows<br />

for benchmark comparison, and gives<br />

a better idea of reasonable costs and<br />

service levels.<br />

The PTC would deliberate on operators’<br />

applications for fare increases, taking into<br />

account the macro-economic environment,<br />

operators’ retur n-on-total-assets and<br />

affordability of fares. The PTC has often not<br />

granted the maximum allowable fare increase.<br />

The PTC also has the power to initiate decreases<br />

in fares, if this is justified. This approach to<br />

fare regulation has ensured that fares remain<br />

affordable to most Singaporeans (Figure 1).<br />

The PTC also regulates bus services by<br />

establishing basic Quality of Service (QoS)<br />

standards which comprise Operating<br />

Performance Standards (OPS) and Service<br />

Provision Standards (SPS). OPS measure<br />

minimum daily or monthly operational<br />

deliverables at the bus network or route levels,<br />

such as bus reliability, loading and safety.<br />

Figure 1: Public Transport Fare Increases<br />

Index Value<br />

1.70<br />

1.60<br />

1.50<br />

1.40<br />

1.30<br />

1.20<br />

1.10<br />

1.00<br />

0.90<br />

1997 1998 1999 2000 2001 2002 2003 2004<br />

Year<br />

SPS measure overall bus route planning and<br />

provision of services which covers service<br />

availability, integration and provision of<br />

information (PTC). The <strong>LTA</strong> imposes minimum<br />

Operating Performance Standards (OPS) for<br />

rail services which measure service quality,<br />

safety assurance and equipment performance<br />

through indicators, such as service availability,<br />

schedule adherence, and severity of service<br />

disruption. Operators would be fined for failure<br />

to meet these standards.<br />

The annual Public Transport Customer<br />

Satisfaction Survey in 2010 found that more<br />

than 92% of respondents were satisfied<br />

with overall public transport services.<br />

However recently there has been some public<br />

unhappiness over overcrowding on buses and<br />

trains during peak hours and the irregular<br />

frequencies of buses. Since 2010, the <strong>LTA</strong><br />

has worked with the operators to review and<br />

improve bus and train services. More bus<br />

and train trips have been added to address<br />

overcrowding. To cope with increasing<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Different Approaches to Public Transport Provision<br />

Avrg Monthly<br />

Earnings<br />

Fare Adjustment<br />

Cap<br />

Overall Public<br />

Transport Fares<br />

2005 2006 2007 2008 2009 2010<br />

39


Different Approaches to Public Transport Provision<br />

The annual Public Transport<br />

Customer Satisfaction Survey in<br />

2010 found that more than 92% of<br />

respondents were satisfied with<br />

overall public transport services.<br />

train ridership, the <strong>LTA</strong> is expanding the<br />

rail network and increasing capacity on the<br />

current network.<br />

The <strong>LTA</strong> is also enhancing competition for the<br />

rail and bus markets. The licence duration<br />

for rail lines has been shortened from the<br />

current 30 years to about 15 years, thereby<br />

encouraging the incumbent operators to<br />

perform better in order to retain their<br />

licences. The <strong>LTA</strong> is also studying tendering<br />

of packages of bus routes in future, in order<br />

to inject competition for the bus market and<br />

spur efficiency.<br />

To cope with increasing train<br />

ridership, the <strong>LTA</strong> is expanding the<br />

rail network and increasing capacity<br />

on the current network.<br />

Conclusion<br />

There are different approaches to providing<br />

public transport services, each with its merits<br />

and shortcomings. Most governments aim<br />

to develop integrated and accessible urban<br />

public transport systems with reasonable<br />

quality of services and at affordable fares.<br />

These would ideally be fiscally sustainable,<br />

and provided by efficient and financially viable<br />

operators. There could be tradeoffs between<br />

the different objectives and governments have<br />

to strike a balance between public service and<br />

economic efficiency.<br />

40 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Nationalisation was popular in the 1940s to<br />

1960s as governments attempted to provide<br />

integrated and affordable public transport<br />

services which the private operators were<br />

increasingly unable to provide. Privatisation<br />

of public transport gained ground from<br />

the 1980s due to increased importance of<br />

operator efficiency and fiscal sustainability.<br />

The appropriate approach for each<br />

government depends on what its priorities<br />

are. As with other policies, there may not<br />

The appropriate approach for each<br />

government depends on what its<br />

priorities are.<br />

be a one-size-fits-all model as contexts and<br />

imperatives differ among cities. Singapore<br />

has adopted an approach which seems to<br />

work reasonably well, with some areas for<br />

improvement. It could serve as a case study<br />

for other cities attempting to improve their<br />

public transport systems.<br />

References<br />

Cox, Wendell. 2004. Competitive Tendering of Public<br />

Transport. Presentation to the Urban Road and Public<br />

Transit Symposium. Montreal.<br />

Gomez-Ibanez, Jose A. 1997. Sri Lanka Transport (A):<br />

The Bus Industry. Kennedy School of Government Case<br />

Program CRI-97-1377.0.<br />

Gomez-Ibanez, Jose A. 2003. Regulating Infrastructure:<br />

Monopoly, Contracts, and Discretion. Harvard University<br />

Press, Cambridge, Massachusetts, and London, England.<br />

Hensher, David A. 2007. Delivering Value for Money to<br />

Government through Efficient and Effective Public Transit<br />

Service Continuity: Some Thoughts, (including commentary<br />

of 8 respondents) Transport Reviews, 27 (4). pp 411-448.<br />

Hensher, David A. 2010. Incompleteness and Clarity in Bus<br />

Contracts: Identifying the Nature of the ex ante and ex post<br />

Perceptual Divide. Research in Transportation Economics,<br />

29 (1), pp. 106-117.


Hensher, David A and Stanley, John. 2010. Metropolitan<br />

Bus Service Contracts (MBSC): Thoughts on the Next<br />

Round. Institute of Transport and Logistics Studies Working<br />

Paper ITLS-WP-10-02. The University of Sydney, Sydney,<br />

New South Wales.<br />

Hensher, David A and Wallis, Ian P. 2005. Competitive<br />

Tendering as a Contracting Mechanism for Subsidising<br />

Transport: The Bus Experience. Journal of Transport<br />

Economics and Policy, 39 (3), pp. 295-321.<br />

LEK. 2008. Cost Review of CityRail’s Regular Passenger<br />

Services. Independent Pricing and Regulatory Tribunal,<br />

Sydney, New South Wales.<br />

PTC (Public Transport Council), Singapore.<br />

http://www.ptc.gov.sg.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Different Approaches to Public Transport Provision<br />

David A. Hensher is Professor of Management, and Founding Director of<br />

the Institute of Transport and Logistics Studies at The University of Sydney.<br />

A Fellow of the <strong>Academy</strong> of Social Sciences in Australia and Honorary<br />

Fellow of the Singapore <strong>LTA</strong> <strong>Academy</strong>, David has received several awards<br />

including the 2009 IATBR (International Association of Travel Behaviour<br />

Research) Lifetime Achievement Award in recognition for his longstanding<br />

and exceptional contribution to IATBR as well as to the wider<br />

travel behaviour community. David is Vice-Chair of the International<br />

Scientific Committee of the World Conference of Transport Research, and the Executive Chair<br />

and Co-Founder of The International Conference in Competition and Ownership of Land<br />

Passenger Transport (the Thredbo Series). David has published extensively and written many<br />

books. He is on the editorial boards of leading transport journals, and edited volumes on<br />

Handbooks in Transport, Transport Economics, and Transport and the Environment. Australia’s<br />

most cited transport academic and number three academic economist, David has advised<br />

numerous government and private sector organisations on transportation matters. His interests<br />

are transport economics, transport strategy, sustainable transport, productivity measurement,<br />

traveller behaviour analysis, choice analysis, stated choice experiments, and institutional reform.<br />

Gabriel Wong is a Researcher at the <strong>LTA</strong> <strong>Academy</strong> where he does<br />

research on land transport policies and developments in Singapore.<br />

He was previously with the Civil Service College’s Centre for Public<br />

Economics, Centre for Governance and Leadership, and Institute of<br />

Policy Development where he has written on Singapore’s experience<br />

in the areas of economic regulation, industrial policy, and industrial<br />

relations. Gabriel obtained his Bachelor in Social Science (Honours)<br />

degree and completed his Master in Social Science in Economics degree<br />

on a Research Scholarship at the National University of Singapore.<br />

41


Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

Recommendations For Improving<br />

Transportation Energy Efficiency<br />

In APEC Economies<br />

Laura VAN WIE MCGRORY<br />

Abstract<br />

The March 2009 APEC Workshop on Policies that Promote Energy Efficiency in Transport<br />

(WPPEET) produced broad consensus that APEC economies should aim to increase<br />

transit-oriented development and integrated land-use planning, and minimise private<br />

motorised transport. The workshop recommendations for APEC economies included<br />

methods of overcoming institutional barriers and information gaps, as well as, the<br />

adoption of best practices to both improve the energy efficiency of vehicles and promote<br />

efficiency in the entire transport system. The workshop recommendations also suggested<br />

a stronger role for APEC in supporting needed research into key areas related to energy<br />

efficiency in transportation, and acting as a clearinghouse of information.<br />

Introduction<br />

The Asia Pacific Economic Cooperation<br />

(APEC) Workshop on Policies that Promote<br />

Energy Efficiency in Transport (WPPEET) –<br />

held at the APEC Secretariat in Singapore on<br />

24-25 March, 2009 – provided a lively forum<br />

on a range of transport topics, including fuel<br />

economy standards, operational efficiency<br />

programmes, freight efficiency, mass transit,<br />

reducing road congestion, and land use<br />

and urban planning. While the workshop<br />

focused on policies that could decrease the<br />

energy intensity of the transport sector in<br />

APEC economies, participants unanimously<br />

recognised the importance of energy<br />

efficiency and transportation within the larger<br />

context of climate change and sustainable<br />

economic development. Discussion also<br />

focused on how to write transportation into<br />

global climate policy.<br />

42 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Particularly for developing economies, an<br />

emphasis on the economic and other cobenefits<br />

of energy efficient transport policy<br />

can help leaders overcome the perceived tradeoff<br />

between economic growth and adopting<br />

measures to cut emissions. For instance,<br />

reduced road congestion resulting from a<br />

modal shift from private-motorised transport<br />

to public transit – such as, a bus rapid transit<br />

or subway system – significantly improves<br />

road safety, local air pollution, and economic<br />

productivity.<br />

...for developing economies, an<br />

emphasis on the economic and<br />

other co-benefits of energy efficient<br />

transport policy can help leaders<br />

overcome the perceived trade-off<br />

between economic growth and<br />

adopting measures to cut emissions.


There was broad consensus among<br />

WPPEET participants that transit-oriented<br />

development, integrated land-use planning,<br />

and minimised private motorised transport<br />

should be among every economy’s primary<br />

development goals.<br />

The “Avoid-Shift-Improve” framework<br />

used by the Asian Development Bank provides<br />

a succinct lens for evaluating transport policy:<br />

Comprehensive transportation policy aims<br />

simultaneously to avoid travel, encourage<br />

a shift from motorised to non-motorised<br />

and low-carbon transport, and improve the<br />

efficiency of existing systems and vehicles.<br />

The WPPEET participants recommended the<br />

introduction of this framework into further<br />

discussions of APEC activities related to<br />

efficient transportation policy.<br />

Recommendations<br />

The recommendations emerging from the<br />

presentations and discussions at WPPEET fell<br />

into three categories:<br />

Recommendations for APEC<br />

Economies: Overcoming Barriers<br />

M a n y e c o n o m i e s f a c e c h a l l e n g e s<br />

integrating transportation policies with<br />

Table 1: Policies to encourage vehicle and transport system efficiency<br />

Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

energy and planning p o l i c i e s . The<br />

WPPEET experts suggested measures for<br />

overcoming institutional barriers and the lack<br />

of reliable and comprehensive information,<br />

and for ensuring effective education of<br />

policy-makers and the public.<br />

Recommendations for Economies:<br />

Best Practices in Transport Policy<br />

The workshop recommendations also<br />

included specific policies for APEC economies<br />

to consider in addressing transportation<br />

energy efficiency. The policies are divided<br />

into strategies for improving the energy<br />

efficiency of vehicles, and strategies for<br />

promoting energy efficiency in the entire<br />

transport system (Table1).<br />

A Role for APEC<br />

APEC has an important role in supporting<br />

needed research into key areas related to<br />

energy efficiency in transportation, and<br />

acting as a clearinghouse of information on<br />

these issues. WPPEET workshop participants<br />

specifically recommended two measures;<br />

firstly, studies to improve and fill gaps in<br />

information, and secondly, the creation of a<br />

forum on energy-efficient transportation.<br />

Policies to Encourage Vehicle Efficiency Policies to Encourage Transport<br />

System Efficiency<br />

• Increasing Fuel Economy of New Vehicles • Reducing Road Congestion<br />

• Improving Operational Efficiency • Land Use and Urban Planning<br />

• Energy Efficiency in Freight • Mass Transit<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

43


Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

APEC has an important role in<br />

supporting needed research into key<br />

areas related to energy efficiency<br />

in transportation, and acting as a<br />

clearinghouse of information on these<br />

issues.<br />

Recommendations for the APEC<br />

Economies<br />

In addition to providing key information and<br />

resources, APEC can also encourage its 21<br />

member economies to consider certain policy<br />

strategies and goals. Despite the great diversity<br />

of economic and political climates of APEC<br />

members, workshop participants identified a<br />

number of common challenges that almost<br />

every economy faces, such as, the lack of<br />

reliable and comprehensive information, the<br />

need for effective education of policymakers<br />

and the public, and institutional barriers.<br />

All levels of government, from municipal to<br />

national, face challenges in the coordination<br />

of transportation and energy policy. These<br />

challenges are both horizontal (e.g., difficulty<br />

in coordinating policy among agencies at<br />

the same level) and vertical (difficulty in<br />

coordinating policy among agencies at<br />

different levels of government). To address<br />

overlapping (and sometimes conflicting)<br />

interests among different layers of government<br />

and different agencies, as well as, jurisdictional<br />

issues, p o l i c y m a k e r s should consider<br />

establishing cross-cutting task forces or<br />

consolidating leadership in transportation<br />

planning under one overarching agency .<br />

Another significant challenge is educating the<br />

44 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

public on the transportation options available<br />

to them, the considerable benefits of a<br />

comprehensive transportation policy, and the<br />

urgent need for action to ensure a sustainable<br />

future. In a difficult economic climate, an<br />

effective education/outreach campaign<br />

can help create the political will to make longterm<br />

investments in sustainable transportation.<br />

Public outreach also can help address cultural<br />

preferences and promote positive attitudes<br />

about using mass transit as an alternative<br />

to personal motorised transport. Lastly,<br />

ongoing education for policymakers on the<br />

interrelated impacts and challenges of energy<br />

and transportation, possible solutions, and<br />

potential benefits will facilitate every stage of<br />

this process.<br />

A third challenge is the problem of collecting<br />

reliable and consistent data and then<br />

translating and communicating those data in<br />

meaningful ways to the different government<br />

agencies with a stake in a new, comprehensive<br />

transportation and development strategy.<br />

Below are some recommendations on how to<br />

address these challenges.<br />

Institutional Recommendations<br />

APEC economies should establish official<br />

mechanisms of coordination among their<br />

ministries of transportation, energy, and<br />

environment. Often, the greatest barrier to<br />

effective policy making on energy-efficient<br />

transport is the lack of clear jurisdiction for a<br />

given programme, or the lack of communication<br />

among agencies regarding their needs and<br />

goals and possibilities for finding synergies<br />

among them.


Often, the greatest barrier to<br />

effective policy making on energyefficient<br />

transport is the lack of clear<br />

jurisdiction for a given programme,<br />

or the lack of communication among<br />

agencies regarding their needs and<br />

goals and possibilities for finding<br />

synergies among them.<br />

Data Collection and Goal<br />

Formulation Recommendations<br />

APEC economies should prioritise the<br />

collection and analysis of data relating to their<br />

transportation energy consumption, to enable<br />

the characterisation of their transportation<br />

systems. This effort will benefit greatly from the<br />

development and harmonisation of common<br />

methodologies currently under development<br />

by the Asian Development Bank and other<br />

organisations.<br />

Policy/Programme<br />

Recommendations for<br />

Improving Vehicle Efficiency<br />

• Increasing Fuel Economy of New Vehicles<br />

The key recommendations for increasing<br />

new vehicle efficiency in all economies<br />

centre around fuel economy standards.<br />

Economies with fuel economy standards<br />

already in place are recommended to<br />

develop implementation and enforcement<br />

plans to ensure the standards have the<br />

This initiative proposes making vehicles 50%<br />

more efficient by 2050. Though aggressive,<br />

GFEI maintains that this goal can be achieved<br />

Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

The 50 by 50 Global Fuel Economy Initiative (GFEI)<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

desired maximum impact, and to consider<br />

adopting more stringent standards – e.g.,<br />

those advocated by the International<br />

Energy Agency (IEA)’s 50 by 50 Global Fuel<br />

Economy Initiative. Economies that do not<br />

have fuel economy standards are urged to<br />

develop and adopt them, and to prioritise<br />

the harmonisation of new standards with<br />

existing ones in the region or coordinate<br />

with neighbouring economies to facilitate<br />

manufacturers’ compliance with new<br />

standards.<br />

The key recommendations for<br />

increasing new vehicle efficiency<br />

in all economies centre around fuel<br />

economy standards.<br />

Other recommendations include<br />

internalising the external costs of<br />

transportation energy consumption by<br />

increasing fuel taxes and removing fuel<br />

price stabilisation policies; investing in<br />

research and development for new highefficiency<br />

vehicle technologies; providing<br />

economic incentives (e.g., tax credits)<br />

to promote market penetration of highefficiency<br />

vehicles; and complementing<br />

policies with economic disincentives<br />

for the use of inefficient vehicles, such<br />

as, higher fuel taxes or excise taxes on<br />

vehicle sales.<br />

with existing technologies, and in the short<br />

term will have a high impact on reducing fuel<br />

consumption and carbon emissions.<br />

45


Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

Two-wheelers in Asia<br />

The predominance of two- and three-wheelers<br />

is a growing phenomenon in Asian cities.<br />

Transportation and planning policies should<br />

find ways to consider their impacts and<br />

• Improving Operational Efficiency<br />

Several recommendations focus on<br />

improving the operational efficiency of<br />

all vehicles on the road. These include<br />

implementing a vehicle lifetime or<br />

scrappage policy–being mindful of<br />

unintended impacts to the import/export<br />

market for used vehicles and parts. A<br />

dedicated study on the topic of the Import/<br />

Export of Used Vehicles and Parts could<br />

help inform on this issue. The workshop<br />

experts also recommended that economies<br />

that import and export vehicles coordinate<br />

actions to develop and enforce standards<br />

on imported used vehicles.<br />

Other recommendations include adopting<br />

fuel-quality standards; designing driver<br />

education, training, and enforcement<br />

programmes to improve driving behaviours<br />

(which can raise a vehicle’s effective fuel<br />

efficiency by as much as 35 percent);<br />

implementing centralised inspection and<br />

maintenance programmes; and supporting<br />

the development of policies regulating twowheeler<br />

(Figure 2) operational efficiency,<br />

particularly in Asian cities.<br />

• Energy Efficiency in Freight<br />

For the freight sector, the following threepronged<br />

approach is recommended for<br />

improving the energy efficiency of freight<br />

operations:<br />

Figure 2: Two-wheelers in Asia<br />

46 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

accommodate these fleets as they continue<br />

to grow. Chinese Taipei, for example, has<br />

implemented a highly successful inspection and<br />

maintenance programme for two-wheelers.<br />

i) Improve the energy efficiency of freight<br />

vehicles by providing incentives (e.g.,<br />

rebates and tax credits for the purchase<br />

of fuel-efficient freight vehicles,<br />

or subsidies for their manufacture), and<br />

investing in research and development for<br />

more fuel-efficient freight vehicles.<br />

ii) Improve freight logistics by providing<br />

incentives for higher cargo volume per<br />

trip, and for two-way shipping (i.e.,<br />

ensuring that vehicles transport cargo<br />

on return trips). Both incentives and<br />

new infrastructure are also important for<br />

encouraging switching from truck freight<br />

to rail and ocean freight.<br />

iii) Provide driver education and training,<br />

e.g., by requiring freight drivers to attend<br />

courses that teach them how to improve


Freight Tax Incentives in Japan<br />

In Japan, three types of taxes are imposed on<br />

freight vehicles:<br />

(i) A one-time vehicle acquisition tax<br />

(ii) An annual vehicle tonnage tax (based on<br />

weight)<br />

a vehicle’s operational efficiency through<br />

such measures as reducing speeding,<br />

minimising gear changing, and scheduling<br />

regular inspections. As a complementary<br />

measure, economies are urged to<br />

implement programmes aimed at raising<br />

the awareness of freight companies and<br />

drivers about the link between fuel-efficient<br />

driving practices and safe operations, as<br />

well as, the fact that saving 10 percent on<br />

fuel costs can increase a freight company’s<br />

bottom line by 15-35 percent.<br />

...economies are urged to implement<br />

programmes aimed at raising the<br />

awareness of freight companies and<br />

drivers about the link between fuelefficient<br />

driving practices and safe<br />

operations, as well as, the fact that<br />

saving 10 percent on fuel costs can<br />

increase a freight company’s bottom<br />

line by 15-35 percent.<br />

Policies to Encourage Transport<br />

System Efficiency<br />

• Reducing Road Congestion<br />

To mitigate road congestion, the workshop<br />

recommendations include implementing<br />

demand-centric measures to reduce<br />

Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

(iii) An annual vehicle capacity tax (based on<br />

cargo capacity)<br />

To incentivise fuel efficient freight vehicles,<br />

Japan reduces the level of all three taxes for<br />

fuel-efficient vehicles.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

congestion on existing roads, before<br />

implementing supply-centric measures (e.g.,<br />

building more roads), since experience has<br />

shown that the addition of more roads does<br />

not alleviate congestion. Another strategy<br />

is to price parking in commercial business<br />

districts at a rate that prevents congestion<br />

due to “parking cruisers”. Studies have<br />

shown that the ideal price for parking may<br />

be one that ensures a 15 percent vacancy<br />

rate at any given time, so that vehicles<br />

looking for parking will not contribute to<br />

congestion and emissions by circling city<br />

blocks.<br />

...Studies have shown that the<br />

ideal price for parking may be one<br />

that ensures a 15 percent vacancy<br />

rate at any given time, so that<br />

vehicles looking for parking will<br />

not contribute to congestion and<br />

emissions by circling city blocks.<br />

Congestion pricing systems can also be<br />

extremely effective, particularly when<br />

they are designed to maximise congestion<br />

reduction rather than revenue generation.<br />

Charging for congestion rather than, or<br />

in addition to, car ownership enables<br />

policy to shape marginal behaviour,<br />

47


Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

Figure 3: Congestion Pricing in Singapore<br />

so those who choose to own cars can<br />

still make energy-efficient decisions.<br />

Electronic congestion pricing systems<br />

(Figure 3) can further promote energy<br />

efficiency in transport by varying charges<br />

according to vehicle fuel efficiency.<br />

• Land Use and Urban Planning<br />

Recommendations for improving land<br />

use and urban planning include incentivising<br />

mixed-use development – to ensure that<br />

retail, commercial, and residential areas<br />

are developed together (Figure 4) to reduce<br />

the need for car trips. Economies should<br />

adopt a long-term vision for land use that<br />

integrates transportation goals, along with<br />

medium-term plans to achieve the vision.<br />

Other recommendations include investing<br />

in infrastructure, such as, underpasses<br />

Congestion Pricing in Singapore<br />

Since 1975, Singapore has addressed the issue<br />

of road congestion with a road pricing system,<br />

which charges vehicles a fee to travel congested<br />

roads during peak hours. The system, which<br />

has been electronic since 1998, has increased<br />

Figure 4: Mixed-use development<br />

48 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

and covered walkways, that create a<br />

safe and comfortable environment for<br />

pedestrians (to provide an alternative to<br />

driving), and connecting non-motorised<br />

transport users to mass transit systems<br />

so that pedestrians and bikers can access<br />

mass transit systems.<br />

• Mass Transit<br />

One key workshop recommendation<br />

for mass transit is to focus on improving<br />

ridership on existing mass transit<br />

s y s t e m s b e f o r e expanding these<br />

systems or building new ones. Other<br />

suggestions include funding repairs and<br />

expansions of mass transit systems through<br />

tax revenue on land whose value has<br />

increased due to the development of the<br />

systems; and reforming mass transit pricing<br />

the speed at which traffic flows through the<br />

central business district by 20 percent. Prices<br />

are set with a goal of maintaining an optimal<br />

speed range of 45 to 65 km/h for expressways<br />

and 20 to 30 km/h for arterial roads.


Urban Planning in Shanghai, People’s Republic of China<br />

Shanghai has made efforts to control the<br />

rate of growth in private vehicle ownership<br />

through a multi-modal system of urban<br />

development. The city has built mass transit<br />

systems (Figure a), such as, light rail and bus<br />

lines to minimise the rate of growth in personal<br />

vehicle ownership. In addition, it has provided<br />

bike lanes and pedestrian walkways to enable<br />

commuters to connect to the mass transit<br />

system. Unlike Chinese cities with similar rates<br />

of population growth, Shanghai has stabilised<br />

the growth rate of private vehicle ownership<br />

based on distance rather than multiple<br />

trips to make it more convenient and less<br />

expensive at modal interfaces.<br />

When deciding which mass transit system<br />

to build first, it is recommended that<br />

economies consider time horizons for<br />

system completion (since the culture of<br />

personal vehicle ownership may become even<br />

more entrenched during the time it takes<br />

to complete a major system); integration<br />

of commercial and residential development<br />

around the system; and difficulties involved<br />

in developing the route (e.g., can a new<br />

right-of-way be built, or must it be carved<br />

out of existing road space?).<br />

...it is recommended that economies<br />

consider time horizons for system<br />

completion (since the culture of<br />

personal vehicle ownership may<br />

become even more entrenched during<br />

the time it takes to complete a major<br />

system)...<br />

Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

Figure a: Maglev in Shanghai<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

In addition, the cost-per-unit-of-energysaved<br />

of a given system is a key factor. It<br />

is important to consider what level of<br />

investment is required to yield the resulting<br />

energy savings, because there may be other<br />

transportation programs or policies that can<br />

reduce energy consumption at a lower cost.<br />

This calculation must take into account<br />

several factors, including:<br />

i) The energy consumption of a given system;<br />

ii) The energy consumption displaced by that<br />

system, which will be determined largely by<br />

ridership levels (a system with low ridership<br />

may actually consume more energy than it<br />

displaces);<br />

iii) The cost of building the system; and<br />

iv) The lifetime of the system. Systems that<br />

require a good deal of infrastructure are<br />

more expensive initially, but the system may<br />

last much longer, reducing the cost of the<br />

system over time.<br />

49


Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

A Role for APEC<br />

Within the institutional framework of APEC,<br />

there exist many opportunities for promoting<br />

energy efficiency in transportation, both<br />

through projects and through the coordination<br />

of working groups and other bodies that<br />

advise the Ministers and Leaders of the APEC<br />

economies. APEC can play a unique role in<br />

improving information on current practices<br />

and policies in the region. The results of<br />

APEC studies and other information-sharing<br />

strategies can be used to enhance other global<br />

initiatives focusing on transportation in the<br />

context of the sector’s impacts on energy use,<br />

economic development, health, and climate.<br />

The results of APEC studies and other<br />

information-sharing strategies can<br />

be used to enhance other global<br />

initiatives focusing on transportation<br />

in the context of the sector’s<br />

impacts on energy use, economic<br />

development, health, and climate.<br />

Potential Projects<br />

APEC could undertake the following events<br />

and analyses, the results of which would be<br />

made available to the member economies for<br />

use in the development of transportation plans<br />

and policies.<br />

• Workshops on Transportation Energy<br />

Efficiency Improvement Potential, with a<br />

focus on potential energy savings from<br />

various policy options and the pace at<br />

which overall energy efficiency in transport<br />

could improve over time.<br />

• Detailed Study of Bus Rapid Transit and its<br />

potential benefits in terms of reduced oil<br />

50 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

imports, greenhouse emissions, and road<br />

congestion.<br />

• Detailed Analysis of Transit-Oriented<br />

Development to assess the most effective<br />

means to reduce automobile traffic<br />

through strategies that stress the clustering<br />

of commercial and residential buildings<br />

around urban transit routes.<br />

• Detailed Analysis of Intermodal Freight to<br />

examine the energy savings, greenhouse<br />

gas reductions, and transport system<br />

benefits of shifting freight from energyintensive<br />

modes (such as trucking) to<br />

energy-conserving modes (such as ships,<br />

barges, and rail).<br />

• Detailed Study of Import/Export of Used<br />

Vehicles and Vehicle Parts to characterise<br />

the import/export market of used vehicles<br />

and vehicle parts in APEC economies and<br />

provide recommendations on retirement/<br />

scrapping, recycling of vehicle parts, and<br />

geographical and topical opportunities for<br />

saving energy through addressing import/<br />

export issues.<br />

• Case Studies and Success Stories from the<br />

APEC Economies to provide a clearinghouse<br />

of information and support for the Asia-<br />

Pacific economies.<br />

• Development of Common Methodologies<br />

and Metrics to provide consistent and<br />

comparable metrics (e.g., energy intensity,<br />

carbon emissions, and vehicle miles traveled)<br />

to help policymakers make a strong business<br />

case for sustainable transportation policies.<br />

Coordination of APEC Working<br />

Groups<br />

Integrating the activities of APEC’s Energy


and Transportation Working Groups could<br />

provide significant assistance in coordinating<br />

the development of energy and transportation<br />

policy in APEC economies. Effectively improving<br />

the energy efficiency of transportation systems<br />

requires close coordination by ministries<br />

that in many cases have traditionally worked<br />

separately. The energy challenges that the<br />

Effectively improving the energy<br />

efficiency of transportation systems<br />

requires close coordination by<br />

ministries that in many cases have<br />

traditionally worked separately.<br />

APEC economies face cannot be addressed<br />

without considering transportation policy,<br />

and the transportation challenges cannot<br />

be addressed without incorporating energy<br />

issues. The establishment of an APEC forum<br />

on energy efficient transportation that involves<br />

and informs the APEC ministries of transport,<br />

energy, and the environment could:<br />

Acknowledgement<br />

Recommendations for Improving Transportation Energy Efficiency in APEC Economies<br />

• Provide focus on the need to reduce the<br />

energy intensity of, or the carbon emissions<br />

from, the transport sectors of the APEC<br />

economies; and<br />

• Ensure that the results of transport-related<br />

studies reach APEC ministers and encourage<br />

them to use the results to strengthen the<br />

business case for sustainable transport<br />

policies.<br />

Best Practices and Case Study<br />

Resources<br />

Resources available to policymakers include:<br />

i) “Avoid–Shift–Improve:<br />

An Action Plan to Make Transport in<br />

Developing Countries More Climate-<br />

Friendly,” Asian Development Bank<br />

ii) “50 by 50 Global Fuel Economy Initiative,”<br />

International Energy Agency<br />

iii) “Bellagio Memorandum on Motor Vehicle<br />

Policy,” International Council on Clean<br />

Transportation.<br />

This article is based on a recommendations report - “Improving Energy Efficiency in the Transportation Sector of APEC<br />

Economies” – prepared for APEC as a follow up to the APEC Workshop on Policies that Promote Energy Efficiency in<br />

Transport (WPPEET) In 2009. The original recommendations report was co-written by Diana Lin, Sally Larsen, and Laura<br />

Van Wie McGrory of the Alliance to Save Energy.<br />

Laura Van Wie McGrory, Vice President of International Programs with<br />

the Alliance to Save Energy, has managed the Alliance’s international<br />

energy efficiency projects since 2008. Before joining the Alliance, she<br />

worked with the Environmental Energy Technologies Division at Lawrence<br />

Berkeley National Laboratory for nine years, managing the Washington<br />

DC office of the Lab for the last two. Laura previously worked with the<br />

Intergovernmental Panel on Climate Change, and was a consultant to the<br />

US EPA’s Global Change Division, and the World Bank. She has a B.A. in<br />

Geography and Environmental Studies from Dartmouth College, and a Master of International<br />

Affairs from Columbia University’s School of International and Public Affairs.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

51


Achieving Green Freight in Asia<br />

Achieving Green Freight in Asia<br />

Sophie PUNTE and Yan PENG<br />

Abstract<br />

Road freight is the ‘Cinderella’ of the transport sector because of policy, technological<br />

and financial barriers which result in intense fuel use and increased emissions. This paper<br />

describes how a small trucks pilot project in Guangzhou led to a larger freight project<br />

in Guangdong and paved the way for designing a national freight programme in China.<br />

These initiatives on greening the freight and logistics sector are expected to be replicated<br />

in other Asian countries with strong support from private sector, as it is in their interest<br />

that common policies and integrated programmes are established.<br />

Introduction<br />

The efficient movement of goods and services<br />

contributes significantly to the economic<br />

growth of countries. As the Asian economy<br />

continues to grow at a rapid pace, an increase<br />

in freight activity is also expected. It is<br />

estimated that by the year 2050, medium and<br />

heavy freight trucks worldwide will consume<br />

1,240 billion litres of fuel (gasoline equivalent),<br />

138% more than 2000 levels. The global share<br />

of trucks operating within Asian countries is<br />

expected to increase from 19% in 2000 to<br />

34% in 2050. In China, more than 24 billion<br />

tonnes of freight were transported in 2010,<br />

twice as much as in the United States, with an<br />

annual growth rate of 14% in freight turnover.<br />

The high percentage of empty hauls combined<br />

with systemic overloading of trucks is common<br />

and results in economic loss, higher fuel use and<br />

emissions, and safety issues. Trucks are a main<br />

cause of greenhouse gases and air pollutants.<br />

For example, 4% of Chinese vehicles are trucks<br />

but they are responsible for 57% of particulate<br />

52 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

emissions from transport. The potential for<br />

savings is huge; fuel costs can be 60% of truck<br />

operating costs in Asia, making it an even more<br />

attractive area for cost reductions than in the<br />

US, where driver wages are the largest cost<br />

component.<br />

The high percentage of empty hauls<br />

combined with systemic overloading<br />

of trucks is common and results in<br />

economic loss, higher fuel use and<br />

emissions, and safety issues.<br />

Whether it is the introduction of cleaner<br />

fuels, fuel economy standards, tax incentives<br />

or investments in infrastructure to improve<br />

transport, the freight sector is seldom given<br />

attention and often ignored. People either<br />

drive cars or ride the bus and so trucks are not<br />

in the public eye. Within cities, trucks are often<br />

allowed along specific corridors only at night,<br />

as a way to reduce traffic congestion during<br />

the day. Freight is clearly the “Cinderella” of<br />

the transport sector.


Barriers to a Sustainable Road<br />

Freight Sector<br />

Some of the main challenges that Asian<br />

countries must overcome to effectively<br />

address sustainability issues of the freight and<br />

logistics sector are policies and institutional<br />

arrangements, characteristic of the freight<br />

sector, technologies and financing mechanisms.<br />

Policies that deal with the environmental<br />

performance of trucks and the trucking<br />

industry are often lacking or limited, and poorly<br />

enforced. Freight is seldom included in the<br />

design and planning of urban transport systems<br />

and in policy development, resulting in ad hoc<br />

measures to accommodate urban freight. The<br />

wide range of government agencies with a<br />

stake in freight also makes it difficult to assess<br />

and formulate policies to develop the sector<br />

more sustainably.<br />

The trucking sector in China is highly<br />

fragmented with almost 90% of trucks owned<br />

by individual drivers and only 0.1% belongs<br />

to companies with more than one hundred<br />

trucks. This makes it difficult for government<br />

agencies to reach them with information and<br />

policies on, for example, new technologies.<br />

Freight is seldom included in the design<br />

and planning of urban transport systems<br />

and in policy development, resulting in<br />

ad hoc measures to accommodate<br />

urban freight.<br />

Furthermore, the adoption of cleaner<br />

technologies is vital for developing Asia as<br />

many trucks are old and poorly maintained.<br />

Driver training and technologies can render<br />

significant fuel savings, which is important<br />

in developing Asian countries where the fuel<br />

costs are the largest component of a truck’s<br />

operational costs. Widespread technology<br />

adoption becomes challenging due to limited<br />

availability, fragmented suppliers’ network,<br />

and scarce case studies for Asia.<br />

Financing green technologies is hampered<br />

by high investment costs (despite potential<br />

large savings and short payback periods), the<br />

reluctance of banks and financiers to lend<br />

money to trucks drivers and small companies,<br />

and the lack of experience of ESCOs (energy<br />

service companies) with trucking fleets.<br />

Financiers often do not know how to appraise<br />

financing of technologies for trucks and<br />

policymakers have minimal experience in<br />

applying economic instruments to the trucking<br />

sector.<br />

Local, national and regional initiatives are<br />

needed to green freight and logistics in Asia.<br />

Piloting Green Trucks and Freight<br />

Logistics in China<br />

It all started with a truck pilot project in<br />

Guangzhou, a key transportation hub and<br />

capital of Guangdong Province, China (CAI-<br />

Asia and World Bank 2010). The pilot project<br />

started in 2009 and analysed the truck sector<br />

through research and a survey, developed<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Achieving Green Freight in Asia<br />

Financiers often do not know how to<br />

appraise financing of technologies for<br />

trucks and policymakers have minimal<br />

experience in applying economic<br />

instruments to the trucking sector.<br />

53


Achieving Green Freight in Asia<br />

and tested training materials for truck fuel<br />

efficiency and carried out a technology<br />

pilot. It was a collaborative effort between<br />

the Guangzhou transport and environment<br />

agencies, three trucking companies, Clean<br />

Air Initiative for Asian Cities (CAI-Asia), U.S.<br />

Environment Protection Agency (US EPA), U.S.based<br />

Cascade Sierra Solutions (CSS) and the<br />

World Bank.<br />

CAI-Asia tested tyre and aerodynamics<br />

technologies on ten long-haul and short-haul<br />

trucks of private companies, and garbage trucks<br />

(CAI-Asia and World Bank 2010). Technologies<br />

were selected based on successes achieved in<br />

the United States under the US EPA SmartWay<br />

programme. Fuel and emissions savings for<br />

garbage trucks equipped with low rolling<br />

resistance tyres and a tyre pressure monitoring<br />

system (Figure 1) were about 18%. This figure<br />

is much higher than the savings seen in the<br />

United States, most likely because aside from<br />

Figure 1: Low rolling resistance tyres and pressure monitoring systems<br />

Single-wide tyres<br />

or Dual low rolling<br />

resistance tyres<br />

reduce rolling<br />

resistance<br />

Aluminium wheels<br />

reduce weight<br />

Automatic tyre<br />

pressure monitoring<br />

systems keep tyre<br />

pressure more<br />

constant<br />

54 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

reducing friction with the road, the new tyres<br />

also made the truck more stable, thus reducing<br />

fuel use.<br />

Fuel savings of long distance trucks was about<br />

6.6%. This was less than expected because<br />

the trucks in the pilot travelled at lower speeds<br />

than the 75 km/hour needed for aerodynamics<br />

technologies to significantly reduce drag and<br />

fuel use. Still, the savings are high enough<br />

for companies to be interested in these<br />

technologies.<br />

To complement the technology pilot, truck<br />

drivers and truck fleet managers from the pilot<br />

companies participated in a training course<br />

on how to reduce truck fuel use. The course<br />

covered truck specifications, technologies,<br />

route planning, maintenance and inspection,<br />

and driving behaviour. The importance of driver<br />

training was highlighted as the difference in<br />

fuel efficiency between the best and worst<br />

Gap fairing reduces<br />

the tractor-trailer gap<br />

Skirts reduce wind<br />

underneath the trailer<br />

Nosecones reduce<br />

turbulence


driver in the US can be as high as 35%. A<br />

10-minute video of the technology pilot<br />

(CAI-Asia and World Bank 2010) and driver’s<br />

training materials are available in both English<br />

and Chinese.<br />

The survey involving 1,040 truck drivers and<br />

43 companies revealed that maintenance<br />

practices are poor as most drivers only use a<br />

hammer to check tyre pressure and 14% check<br />

pressure less than once per week (CAI-Asia and<br />

World Bank 2010).<br />

The importance of driver training<br />

was highlighted as the difference in<br />

fuel efficiency between the best and<br />

worst driver in the US can be as high<br />

as 35%.<br />

The pilot showed that Guangdong’s 825,000<br />

heavy duty trucks have the potential to reduce<br />

diesel use by 3.8 million hectolitre, CO2 emissions by 8 million tonnes and particulate<br />

matter (including black carbon) by 1.2 million<br />

tonnes each year through proper management<br />

and technologies. This helped convince<br />

Guangdong authorities to start a three-year<br />

USD $14 million Green Trucks Demonstration<br />

Project (CAI-Asia and World Bank 2010) cofinanced<br />

by GEF and covering the whole<br />

Guangdong Province.<br />

Launched at an International Green Freight<br />

Fair in October <strong>2011</strong>, this new project will<br />

install new technology on Guangdong trucks<br />

and explore technology financing options. The<br />

project will also investigate ways to optimise<br />

freight logistics and address fuel wastage from<br />

the estimated 40% empty hauls of trucks.<br />

To help design the project, CAI-Asia, US EPA<br />

and CSS hosted 19 government officials from<br />

Guangdong Province in June 2010 to visit<br />

truck fleets, the California Air Resources Board<br />

and several non-governmental organisations<br />

in California and Washington State. A visit<br />

to Europe in August <strong>2011</strong> gave insights into<br />

innovative freight logistics practices in Finland,<br />

Sweden and Switzerland (Figure 2).<br />

Establishing a Green Freight China<br />

Program<br />

The Guangzhou and Guangdong pilot became<br />

a springboard to establishing a national green<br />

freight programme. With Energy Foundation<br />

support, CAI-Asia designed a Green Freight<br />

China Program with five components: Clean<br />

Technologies, Freight Logistics, Financing<br />

Mechanisms, Knowledge & Capacity, and<br />

Partnerships between government and the<br />

private sector (CAI-Asia and World Bank<br />

2010). Its design is based on the US SmartWay<br />

Partnership programme, and comes at the<br />

right time for China. “Energy efficiency is a<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Achieving Green Freight in Asia<br />

The pilot showed that Guangdong’s<br />

825,000 heavy duty trucks have the<br />

potential to reduce diesel use by 3.8<br />

million hectolitre, CO 2 emissions by 8<br />

million tonnes.<br />

Figure 2: A visit to Europe to benchmark freight logistics<br />

practices in Finland, Sweden and Switzerland<br />

55


Achieving Green Freight in Asia<br />

Figure 3: Delegates at the 1st Green Freight China Seminar in May, <strong>2011</strong>.<br />

key factor in making the freight sector in China<br />

more competitive,” stated Mr. Xu Yahua,<br />

Deputy Director-General, Road Transportation<br />

Department, Ministry of Transport.<br />

The Guangzhou and Guangdong pilot<br />

became a springboard to establishing<br />

a national green freight programme.<br />

At the 1st Green Freight China Seminar last<br />

May <strong>2011</strong> (Figure 3), over ninety Chinese<br />

government officials, private sector and civil<br />

society representatives discussed how to<br />

advance green freight in China and several<br />

organisations committed to collaborate on<br />

policy research and pilot studies. The Seminar<br />

was organised by CAI-Asia with support from<br />

the Road Transportation Department of the<br />

Ministry of Transport, the Vehicle Emission<br />

Control Center of the Ministry of Environment<br />

Protection, Energy Foundation, US EPA, World<br />

Bank and CSS.<br />

Companies such as C.H. Robinsons, Schneider<br />

Logistics, Xin Bang Logistics and GITI Tires<br />

shared their experiences in introducing clean<br />

technologies and logistics solutions. “Those<br />

56 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

who can organise the labour capacity to<br />

move freight in China will be the winners”<br />

commented Schneider Logistics, pointing to<br />

the highly-fragmented truck sector.<br />

CAI-Asia will further develop the programme<br />

design with stronger collaboration among<br />

local, national and regional stakeholders from<br />

the freight sector.<br />

Expanding Efforts to Asia<br />

Green freight efforts in other Asian countries<br />

are also gaining traction. This is a welcome<br />

development, since tackling the barriers to a<br />

sustainable road freight sector would certainly<br />

require a common framework across Asia,<br />

especially with the freight movement going<br />

beyond international borders.<br />

...tackling the barriers to a sustainable<br />

road freight sector would certainly<br />

require a common framework<br />

across Asia, especially with the<br />

freight movement going beyond<br />

international borders.<br />

Improved freight transport efficiency is one<br />

of the sustainable transport goals under the


Bangkok 2020 Declaration signed by 15 Asian<br />

countries in August 2010 during the Fifth<br />

Environmentally Sustainable Transport Forum.<br />

A report highlighting the strategies and best<br />

practices for green freight in Asia will be<br />

released as a briefing paper for policy makers<br />

from transport and environment ministries<br />

during the Sixth Environmentally Sustainable<br />

Transport Forum to be held in Delhi, India in<br />

December <strong>2011</strong>.<br />

Interest in pilots and programmes on freight and<br />

logistics management has also sparked. The<br />

Society of Indian Automobile Manufacturers<br />

(SIAM), together with CAI-Asia, will hold a<br />

Green Freight India Seminar in January 2012 to<br />

engage truck manufacturers and government<br />

officials on establishing a programme design<br />

for improving fuel efficiency and reducing<br />

emissions from freight. Likewise, low carbon<br />

projects to reduce emissions from freight are<br />

also being implemented along the economic<br />

corridor of Thailand, Laos and Vietnam, also<br />

known as the Greater Mekong Sub-region.<br />

...low carbon projects to reduce<br />

emissions from freight are also being<br />

implemented along the economic<br />

corridor of Thailand, Laos and<br />

Vietnam, also known as the Greater<br />

Mekong Sub-region.<br />

Private sector support is pivotal to make these<br />

initiatives work. In the process of developing<br />

the Green Freight China Program design, CAI-<br />

Asia has brought together shippers, carriers<br />

and logistic service providers operating in<br />

China to discuss the role of the private sector<br />

in emissions reductions from freight and<br />

logistics. A follow-up meeting will be held<br />

before end of <strong>2011</strong>, supported by Logistics<br />

Institute - Asia Pacific and the Deutsche Post<br />

DHL. It will initiate the establishment of an<br />

informal partnership of private sector and<br />

other collaborating organisations to advance<br />

green freight programmes in China and other<br />

countries in Asia.<br />

Improving freight logistics would involve<br />

integration of truck companies, as well as,<br />

logistics centres. To facilitate this, CAI-Asia<br />

established a dedicated Green Freight website,<br />

www.greenfreightandlogistics.org. The goal is<br />

to improve access to information on policies<br />

and programmes, technologies and logistics,<br />

contacts and data relevant to the freight sector,<br />

especially for developing countries.<br />

Conclusion<br />

The China experience has shown that there<br />

is an untapped opportunity to reduce fuel<br />

use and emissions from the fuel-intensive<br />

freight and logistics operations. As proven by<br />

the green freight pilot project in Guangzhou,<br />

truck performance can be improved through<br />

technologies and drivers’ training to realise fuel<br />

savings and emissions reduction.<br />

City level and regional level projects for the<br />

freight sector can be successful and sustained<br />

if an integrated policy is in place nationally.<br />

This programmatic approach will only work<br />

if supported by stakeholders especially<br />

carriers, shippers, logistics providers and the<br />

government.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Achieving Green Freight in Asia<br />

57


Achieving Green Freight in Asia<br />

Acknowledgement<br />

The authors want to thank Energy Foundation, World Bank, US EPA, Cascade Sierra Solutions, DHL, SSCCAP and Chinese<br />

government authorities for their support to advancing green freight in China and Asia. We would also like to acknowledge<br />

Bert Fabian, Sudhir Gota, Alvin Mejia, Su Song, Mingming Liu, and Parthaa Bosu from CAI-Asia for their role in green<br />

freight research and project implementation.<br />

Notes<br />

1. More information on the global share of trucks and their<br />

worldwide fuel consumption can be found in (WBCSD<br />

and IEA 2004).<br />

2. The full copy of the technology pilot report can be found<br />

at http://cleanairinitiative.org/portal/GreenTrucksPilot<br />

3. The viewing of the video may be accessed at http://<br />

cleanairinitiative.org/portal/knowledgebase/videos/Gree<br />

nTrucksPilotProjectinGuangzhou%28video%29<br />

4. More information on Guangdong GEF Green Freight<br />

Demonstration Project can be found at http://<br />

cleanairinitiative.org/portal/GuangdongGEF<br />

5. More information on Development of Green Freight<br />

China Program can be found at http://cleanairinitiative.<br />

org/portal/projects/GreenFreightChinaProgram.<br />

References<br />

CAI-Asia and World Bank. 2010. Green Trucks Pilot Project<br />

in Guangzhou: Final Report . http://cleanairinitiative.<br />

org/portal/GreenTrucksPilot<br />

58 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

6. In order to highlight the issue of freight to senior<br />

decision makers in Asia, CAI-Asia prepared a background<br />

paper on the “Challenges and Opportunities for an<br />

Environmentally Sustainable Road Freight Sector in<br />

Asia” for the United Nations Centre for Regional<br />

Development’s Fifth Environmentally Sustainable<br />

Transport Forum held in Bangkok, Thailand on 23-<br />

25 Aug 2010 (see http://cleanairinitiative.org/portal/<br />

node/6340).<br />

7. Challenges and Opportunities for an Environmentally<br />

Sustainable Road Freight Sector in Asia. 2010.<br />

Background paper prepared by Sophie Punte, Bert<br />

Fabian, Sudhir Gota and Alvin Mejia for the 5th Regional<br />

Environmentally Sustainable Transport Forum in Asia.<br />

World Business Council on Sustainable Development<br />

(WBCSD) and the International Energy Agency (IEA).<br />

2004. Sustainable Mobility Project. http://www.<br />

wbcsd.org/includes/getTarget.asp?type=p&id=MTQ0


JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Achieving Green Freight in Asia<br />

Sophie Punte is Executive Director with the Clean Air Initiative Asia<br />

(CAI-Asia) in Manila, which promotes reductions in air pollution and<br />

greenhouse gas emissions in all sectors, including trucks and freight.<br />

She leads the work on green freight in China together with the CAI-<br />

Asia China office. For four years she worked at the United Nations in<br />

Bangkok to lead a UNEP energy efficiency and climate change project<br />

for Asian industry in nine countries. Prior to joining the UN, Sophie was<br />

senior manager with audit and advisory firm KPMG in Australia and<br />

The Netherlands, a policy analyst with the New Zealand Environment<br />

Ministry and an environmental scientist with an engineering firm. She holds a Master of Science<br />

(Biology) and a Master of Environmental Management from the Netherlands.<br />

Yan Peng has been the China Representative of Clean Air Initiative Asia<br />

(CAI-Asia) in China since 2005. Prior to joining CAI-Asia she worked<br />

with the UK Department for International Development (DFID) and<br />

consulting firm ERM in China. She has a Master of Law degree from<br />

Peking University and studied at the Johns Hopkins University-Nanjing<br />

University Center for Chinese and American Studies, and the University<br />

of Toronto, Canada. Her areas of specialty are environment public policy,<br />

social impact assessments. Yan leads CAI-Asia’s China Network of 13<br />

cities and the annual Air Quality Management city workshop held together with the Ministry of<br />

Environmental Protection. She also leads CAI-Asia’s work in China to improve energy efficiency<br />

and reduce greenhouse gas and air pollutant emissions from freight and logistics.<br />

59


References<br />

Passenger Transport Mode<br />

Shares in World Cities<br />

Passenger transport mode share refers to the<br />

percentage of passenger journeys or trips by<br />

the main mode of transport and is typically<br />

reported through travel surveys. Comparing<br />

passenger transport mode share across<br />

different cities is a challenging task. As travel<br />

surveys are typically conducted for long-term<br />

strategic planning purpose, such surveys are<br />

not conducted frequently and detailed reports<br />

are not always published. The situation is<br />

further complicated as the surveys are often<br />

commissioned by local governments. The<br />

geographical areas covered, sampling and<br />

interviewing techniques, questionnaire and<br />

stratification methods deployed by travel<br />

surveys vary greatly in different countries.<br />

For example, the definition for a pedestrian<br />

trip or a public transport trip may be different<br />

in different countries. In cities like Hong<br />

Kong, mode share is based on the number of<br />

boardings by mode of transport (or journeystages).<br />

In most cities, however, mode share<br />

is reported on the basis of the number of<br />

journeys, which may consist of a series of<br />

boardings on different modes of transport and<br />

the main mode is reported as the transport<br />

mode.<br />

Mode share is affected by household incomes,<br />

land use patterns, and many other economic<br />

and social factors. Therefore, the figures may<br />

not be directly comparable. They should be<br />

60 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

analysed together with the historical, social<br />

and economic situation of the city.<br />

The mode share information of some major<br />

metropolitan cities in the world is presented.<br />

They include the traditionally advanced<br />

cities (e.g. London, Paris, New York and<br />

Tokyo), newly developed cities (e.g. Hong<br />

Kong, Seoul), cities often cited in transport<br />

innovations or sustainable transport surveys<br />

(e.g. Bogota, Osaka), and emerging megacities<br />

(e.g. Shanghai, Bangalore) (Table 1).<br />

For cities where mode share information of<br />

different geographical coverage is available,<br />

the geographical area that is approximately in<br />

a similar pattern to Singapore is used (e.g. land<br />

area, population density).<br />

Table 1: List of Selected Cities<br />

Asia<br />

Ahmedabad, Bangalore, Beijing, Delhi,<br />

Guangzhou, Hong Kong, Mumbai, Osaka,<br />

Seoul, Shanghai, Singapore, Taipei, Tokyo<br />

Australia<br />

Melbourne, Sydney<br />

Europe<br />

Barcelona, Berlin, London, Madrid, Paris,<br />

Prague, Rome, Vienna<br />

North America<br />

Chicago, New York City, Toronto<br />

South America<br />

Bogota, Curitiba


AHMEDABAD<br />

Population: 5.6 million<br />

Land area: 281 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 16% of all<br />

journeys.<br />

Data Sources:<br />

Census of India <strong>2011</strong><br />

Ministry of Urban Development, 2008. Study on Traffic<br />

and Transportation Policies and Strategies in Urban Areas<br />

in India<br />

BANGALORE<br />

Population: 8.4 million<br />

Land area: 226 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 35% of all<br />

journeys.<br />

Data Sources:<br />

Census of India <strong>2011</strong><br />

Ministry of Urban Development, 2008. Study on Traffic<br />

and Transportation Policies and Strategies in Urban Areas<br />

in India<br />

BARCELONA<br />

Population: 1.5 million<br />

Land area: 98 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 26% of all<br />

journeys.<br />

Data Sources:<br />

Urban Transport Benchmarking Initiative Year Three, Annex<br />

A1. Common Indicator Report 2006<br />

Figure 1: Mode Share in Ahmedabad<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Paratransit<br />

6%<br />

Cycle<br />

14%<br />

Public<br />

transport<br />

16%<br />

Figure 2: Mode Share in Bangalore<br />

Walk<br />

26%<br />

Public<br />

transport<br />

35%<br />

Figure 3: Mode Share in Barcelona<br />

Walk<br />

38%<br />

Walk<br />

22%<br />

Taxi<br />

1%<br />

Public<br />

transport<br />

26%<br />

Private<br />

transport<br />

42%<br />

Private<br />

transport<br />

25%<br />

Cycle<br />

7%<br />

Paratransit<br />

7%<br />

Private<br />

transport<br />

35%<br />

References<br />

61


CHICAGO<br />

Population: 2.7 million<br />

Land area: 589 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 16% of all<br />

journeys.<br />

Data Sources:<br />

Chicago Regional Household Travel Inventory: Mode Choice<br />

and Trip Purpose for the 2008 and 1990 Surveys, Chicago<br />

Metropolitan Agency for Planning<br />

CURITIBA<br />

Population: 1.9 million<br />

Land area: 430 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 45% of all<br />

journeys.<br />

Data Sources:<br />

ICLEI EcoMobility Case “Curitiba, Brazil - A model of transit<br />

oriented planning”<br />

DELHI<br />

Population: 11.0 million<br />

Land area: 431 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 42% of all<br />

journeys.<br />

Data Sources:<br />

Census of India <strong>2011</strong><br />

Ministry of Urban Development, 2008. Study on Traffic<br />

and Transportation Policies and Strategies in Urban Areas<br />

in India<br />

Figure 7: Mode Share in Chicago<br />

Walk<br />

19%<br />

Figure 8: Mode Share in Curitiba<br />

Figure 9: Mode Share in Delhi<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Bus<br />

11%<br />

Bus & BRT<br />

45%<br />

Walk<br />

21%<br />

Rail<br />

5%<br />

Taxi<br />

1%<br />

Others<br />

1%<br />

Cycle<br />

5%<br />

Public<br />

transport<br />

42%<br />

Cycle<br />

1%<br />

Private<br />

transport<br />

63%<br />

Private<br />

transport<br />

28%<br />

Walk<br />

21%<br />

Private<br />

transport<br />

19%<br />

Cycle<br />

12%<br />

Paratransit<br />

6%<br />

References<br />

63


MADRID<br />

Population: 3.1 million<br />

Land area: 606 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 34% of all<br />

journeys.<br />

Data Sources:<br />

Urban Transport Benchmarking Initiative Year Three, Annex<br />

A1. Common Indicator Report 2006<br />

MELBOURNE<br />

Population: 4.1 million<br />

Land area: 1,566 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 8% of all<br />

journeys.<br />

Data Sources:<br />

Victorian Integrated Survey of Travel and Activity 2007<br />

MUMBAI<br />

Population: 12.5 million<br />

Land area: 603 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 45% of all<br />

journeys.<br />

Data Sources:<br />

Census of India <strong>2011</strong><br />

Ministry of Urban Development, 2008. Study on Traffic<br />

and Transportation Policies and Strategies in Urban Areas<br />

in India<br />

Figure 13: Mode Share in Madrid<br />

Public<br />

transport<br />

34%<br />

Figure 14: Mode Share in Melbourne<br />

Walk<br />

13%<br />

Figure 15: Mode Share in Mumbai<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Bus<br />

Rail 3%<br />

4%<br />

Walk<br />

27%<br />

Cycle<br />

2%<br />

Taxi<br />

1%<br />

Walk<br />

36%<br />

Others<br />

1%<br />

Public<br />

transport<br />

45%<br />

Private<br />

transport<br />

29%<br />

Private<br />

transport<br />

77%<br />

Private<br />

transport<br />

15%<br />

Paratransit<br />

7%<br />

Cycle<br />

6%<br />

References<br />

65


References<br />

NEW YORK<br />

Population: 8.2 million<br />

Land area: 790 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 23% of all<br />

journeys.<br />

Data Sources:<br />

Census 2010, U.S. Census Bureau<br />

National Household Travel Survey 2009, New York City<br />

OSAKA<br />

Population: 2.7 million<br />

Land area: 222 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 34% of all<br />

journeys.<br />

Data Sources:<br />

Osaka Prefecture Travel Report 2000 (in Japanese only, 大<br />

阪府全体の人の動き 第4回パーソントリップ調査から,<br />

Japan)<br />

PARIS (Paris et Petite Couronne) 3<br />

Population: 6.5 million<br />

Land area: 762 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 62% of all<br />

journeys.<br />

Data Sources:<br />

National Transport Survey 2008 (in French only, Enquête<br />

Nationale Transports et Déplacements)<br />

66 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Figure 16: Mode Share in New York<br />

Walk<br />

39%<br />

Others<br />

6%<br />

Figure 17: Mode Share in Osaka<br />

Walk<br />

27%<br />

Rail<br />

32%<br />

Bus<br />

10%<br />

Bus<br />

2%<br />

Private<br />

transport<br />

33%<br />

Rail<br />

12%<br />

Private<br />

transport<br />

39%<br />

Figure 18: Mode Share in Paris et Petite Couronne<br />

Public<br />

transport<br />

62%<br />

Cycle<br />

1%<br />

Taxi<br />

1%<br />

Private<br />

transport<br />

32%<br />

Walk<br />

4%


PRAGUE<br />

Population: 1.2 million<br />

Land area: 496 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 43% of all<br />

journeys.<br />

Data Sources:<br />

The Yearbook of Transportation 2009, Prague<br />

ROME<br />

Population: 3.7 million<br />

Land area: 1,290 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 20% of all<br />

journeys.<br />

Data Sources:<br />

Urban Transport Benchmarking Initiative Year Three, Annex<br />

A1. Common Indicator Report 2006<br />

SEOUL<br />

Population: 10.6 million<br />

Land area: 605 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes only motorised<br />

modes for all purposes. Mass transit<br />

constitutes 63% of motorised journeys.<br />

Data Sources:<br />

Seoul Statistics – Population Trend in 2010<br />

Seoul Statistics – Composition of Daily Passenger<br />

Transportation in 2009<br />

Figure 19: Mode Share in Prague<br />

Public<br />

transport<br />

43%<br />

Figure 20: Mode Share in Rome<br />

Figure 21: Mode Share in Seoul<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Public<br />

transport<br />

20%<br />

Walk<br />

21%<br />

Bus<br />

28%<br />

Cycle<br />

1%<br />

Rail<br />

35%<br />

Walk<br />

23%<br />

Private<br />

transport<br />

33%<br />

Private<br />

transport<br />

59%<br />

Private<br />

transport<br />

26%<br />

Taxi<br />

6%<br />

Others<br />

5%<br />

References<br />

67


References<br />

SHANGHAI 4<br />

Population: 16.4 million<br />

Land area: 2,141 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 33% of all<br />

journeys.<br />

Data Sources:<br />

Shanghai Yearbook <strong>2011</strong><br />

Shanghai Construction and Transport Commission 2009<br />

(data provided directly)<br />

SINGAPORE<br />

Population: 5.1 million<br />

Land area: 712 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 44% of all<br />

journeys.<br />

Data Sources:<br />

Singapore in Figures <strong>2011</strong><br />

Travel Survey <strong>2011</strong>, Land Transport Authority, Singapore<br />

SYDNEY<br />

Population: 4.6 million<br />

Land area: 1,580 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 11% of all<br />

journeys.<br />

Data Sources:<br />

2009/10 Household Travel Survey-Key Indicators for Sydney<br />

Figure 22: Mode Share in Shanghai<br />

68 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Figure 23: Mode share in Singapore<br />

Rail<br />

19%<br />

Walk<br />

22%<br />

Taxi<br />

4%<br />

Cycle<br />

1%<br />

Figure 24: Mode Share in Sydney<br />

Walk<br />

18%<br />

Walk<br />

27%<br />

Bus<br />

6%<br />

Public<br />

transport<br />

33%<br />

Rail<br />

5%<br />

Others<br />

2%<br />

Private<br />

transport<br />

20%<br />

Private<br />

transport<br />

29%<br />

Bus<br />

25%<br />

E-bike<br />

10%<br />

Cycle<br />

10%<br />

Private<br />

transport<br />

69%


References<br />

VIENNA<br />

Population: 1.6 million<br />

Land area: 415 km 2<br />

Mode share<br />

Based on the number of journeys by main<br />

mode of transport. It includes all modes for all<br />

purposes. Mass transit constitutes 36% of all<br />

journeys.<br />

Data Sources:<br />

Vienna Modal Split 2010 (in German only, APA-Grafik<br />

Modal Split, Wiener)<br />

Notes<br />

1. For Beijing, this includes the traditional urban area,<br />

which is only part of the area administered by the Beijing<br />

Municipality.<br />

2. For Guangzhou, this includes the central districts (i.e.<br />

Liwan, Yuexiu, Haizhu, Tianhe, Baiyun, Huangpu) only,<br />

which is only part of the area administered by the<br />

Guangzhou Municipality.<br />

3. For Paris, this includes the city of Paris and the surrounding<br />

districts collectively called “Petite Couronne” (Little<br />

Crown, or Inner Ring): Hauts-de-Seine, Seine-Saint-<br />

Denis and Val-de-Marne.<br />

Figure 28: Mode Share in Vienna<br />

Public<br />

transport<br />

36%<br />

70 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

Cycle<br />

5%<br />

Walk<br />

28%<br />

Private<br />

transport<br />

31%<br />

4. For Shanghai, this includes the traditional urban area<br />

and the Pudong New District, which is only part of the<br />

area administered by the Shanghai Municipality.<br />

5. For Tokyo, this includes the traditional urban area<br />

collectively called “23-Ward”, which is only part of<br />

the area administered by the Tokyo Metropolitan<br />

Government (TMG).


Comparison of Public Transport<br />

Operations<br />

Comparing the performances of public<br />

transport operators helps surface some<br />

understanding of the best practices employed in<br />

the industry. Here, key performance indicators<br />

have been identified for three functional areas,<br />

namely: system utilisation, fare level, and<br />

operational efficiency.<br />

We recognise that these indicators do not<br />

represent the complete picture of the company’s<br />

performances, and some of them may not be<br />

directly comparable because of the differences<br />

in operational scales, organisational structure<br />

and accounting practices. These indicators<br />

should be interpreted together with other<br />

performances such as service quality, safety<br />

and security, employee and public relations, as<br />

well as the planning, design, development and<br />

regulatory regime within which they operate.<br />

Table 1: Key Performance Indicators (KPIs)<br />

Functional<br />

Area<br />

System<br />

Utilisation<br />

Indicators Description/Remark<br />

Average<br />

passenger-km<br />

per vehicle-km<br />

Annual ridership<br />

(million) per<br />

station<br />

Annual ridership<br />

(million) per bus<br />

Key Indicators in Comparison<br />

A list of performance indicators of selected<br />

public transport operators are compiled in<br />

terms of system utilisation, affordability, and<br />

operational efficiency for reference (Table 1).<br />

System utilisation measures the level of<br />

assets being utilised - adequate utilisation<br />

is essential to generate revenue to fund<br />

operations. However, excessive utilisation may<br />

imply crowding (an aspect of service quality)<br />

during peak periods if the demand is not well<br />

distributed.<br />

The purpose of public transport is to provide<br />

basic amenity and mobility to the society; thus<br />

it is critical that the fare level is affordable to the<br />

general public. As an indicator of affordability,<br />

the fare is normalised using PPP conversion<br />

This indicator measures the average system loading, in other words, how<br />

well the operating capacity has been utilised. A higher value suggests<br />

better utilisation.<br />

This indicator can be used to measure the performance of both bus and rail<br />

systems. However, as the information of passenger-distance travelled is not<br />

always available in bus systems, this indicator is used in the comparison of<br />

rail systems only.<br />

This indicator normalises the ridership by the number of stations in the<br />

rail system. A higher value suggests a better utilisation of the system<br />

infrastructure.<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

References<br />

This indicator normalises bus ridership by bus fleet size, and reflects the<br />

asset utilisation. A higher value means that on average, a bus carries more<br />

passengers and suggests better asset utilisation.<br />

71


References<br />

Functional<br />

Area<br />

Affordability<br />

(Fare Level)<br />

Operation<br />

Efficiency<br />

Indicators Description/Remark<br />

Average fare per<br />

passenger-km<br />

Average fare per<br />

boarding<br />

Operating costs<br />

per passengerkm<br />

Operating costs<br />

per boarding<br />

This indicator measures how much a commuter pays for one kilometre<br />

he/she travels in the public transport system. As fare structures may be<br />

distance-based (e.g. Singapore and Hong Kong) or Zone-based (e.g.<br />

London), therefore, removing the effect of travelling distance provides a<br />

fair comparison among operators. A lower value means that commuters<br />

pay less for every kilometre travelled.<br />

This indicator is used only in the comparison of rail systems due to a lack of<br />

information for bus systems.<br />

Average fare per boarding is computed using total fare revenue divided by<br />

total ridership. Different from the previous indicator, this indicator measures<br />

average fare per trip directly. The comparison of this indicator is still<br />

meaningful as commuters usually would not compute how long they have<br />

travelled; instead, they care more for how much they have been charged<br />

for a trip. This indicator applies to both bus and rail operator comparisons.<br />

Subsides are excluded from fare revenue. In some cities, the government<br />

subsidises concession travel (e.g. the difference between normal fare and<br />

concession fare) and pays the difference to operators accordingly. Such<br />

subsides are excluded from fare revenue computations as they are paid by<br />

the government, instead of commuters.<br />

This indicator measures the cost required to deliver every kilometre a<br />

passenger travels. As operating cost is largely fixed (e.g. manpower cost,<br />

fuel cost) once the route and schedule are determined, a higher ridership<br />

and longer trip distance would lead to higher operational efficiency.<br />

As different development stages and financial methods result in different<br />

depreciation of rail assets, the depreciation cost is removed from the operating<br />

cost for a fair comparison across rail operators.<br />

This indicator measures the operating cost (excluding depreciation cost<br />

of rail assets) for every passenger trip. A higher value refers to lower<br />

efficiency.<br />

Farebox ratio Farebox ratio is computed by total fare revenue over total operating cost. In<br />

rail comparison, depreciation cost is excluded from operating cost.<br />

This indicator measures the financial viability of an operator without<br />

subsidy. A ratio above 1 suggests that the operator is able to recover its<br />

operating cost (excluding depreciation of rail assets) with fare revenue. If<br />

operators could not recover their operating cost from fare revenue, then<br />

government subsidy or other income is required to maintain the fare level<br />

and service quality.<br />

factor, as it takes into account both cost of<br />

living and exchange rates.<br />

Operational efficiency is essential to keep the<br />

fare affordable. A high operating efficiency<br />

ensures that lower revenue is able to cover<br />

operating cost. Subsidies may be required<br />

72 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

by operators who are unable to recover their<br />

operating cost from fares.<br />

Public Transport Operators (PTOs)<br />

in Comparison<br />

Public Transport Operators (PTOs) are selected<br />

based on their performance, geographical


Table 2: Key Performance Indicators (KPIs)<br />

Asia / Australia Europe North America<br />

[r] [b]<br />

SMRT, Singapore<br />

SBST, Singapore [b]<br />

MTR Corporation, Hong Kong [r]<br />

KMB, Hong Kong [b]<br />

Shanghai Shentong Metro [r]<br />

Taipei Metro [r]<br />

[r] [b]<br />

Toei, Tokyo<br />

Tokyo Metro [r]<br />

Sydney Bus [b]<br />

Notes: [r] rail; [b] bus<br />

London Underground [r]<br />

London Bus [b]<br />

Nexus Tyne & Wear Metro [r]<br />

Dublin Bus [b]<br />

[r] [b]<br />

TMB Barcelona<br />

SL Stockholm [b]<br />

coverage, and data availability (Table 2). Data<br />

here is obtained mainly from annual reports<br />

and financial statements published by the<br />

operators.<br />

Comparisons among Rail Operators<br />

The rail operations in this comparison refer<br />

to those of mass rapid transit systems (MRT,<br />

metro, or subway, as it is called in some cities).<br />

They do not include operations of inter-city<br />

rail, commuter rail and light rail systems<br />

because the operating cost, demand (volume<br />

and distance) and fares of these systems are<br />

generally different from that of the MRT system<br />

Toei - Tokyo<br />

Tokyo Metro<br />

TMB-Barcelona<br />

Taipei Metro<br />

SMRT-Singapore<br />

Shanghai Shentong<br />

Nexus Tyne & Wear<br />

MTR-Hong Kong<br />

MTA-New York<br />

London Underground<br />

CTA-Chicago<br />

Infrastructure - Rail Length<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

[r] [b]<br />

MTA New York<br />

Chicago Transit Authority<br />

MTA Washington [b]<br />

Translink Vancouver [b]<br />

and therefore, not directly comparable.<br />

References<br />

0 50 100 150 200 250 300 350 400 450<br />

[r] [b]<br />

The infrastructure (including length and<br />

number of stations of the rail network) is<br />

presented as supplementary information. It is<br />

used to normalise some indicators, such as,<br />

annual ridership, for a fair comparison. The<br />

infrastructure here shows the status at the<br />

point of comparison and it may not be the<br />

latest figure. For example, the Circle Line Stage<br />

4&5 in Singapore is not included in SMRT<br />

(Singapore) rail length as its revenue operation<br />

only started on 8 Oct <strong>2011</strong>. For Shanghai<br />

Shentong metro, only Line 1 was included as<br />

the other lines were not accounted for under<br />

Shanghai Shentong, the public-listed company.<br />

km<br />

73


References<br />

Toei - Tokyo<br />

Tokyo Metro<br />

TMB-Barcelona<br />

Taipei Metro<br />

SMRT-Singapore<br />

Shanghai Shentong<br />

Nexus Tyne & Wear<br />

MTR-Hong Kong<br />

MTA-New York<br />

London Underground<br />

CTA-Chicago<br />

Toei - Tokyo<br />

Tokyo Metro<br />

Taipei Metro<br />

SMRT-Singapore<br />

MTR-Hong Kong<br />

MTA-New York<br />

London Underground<br />

CTA-Chicago<br />

Toei - Tokyo<br />

Tokyo Metro<br />

TMB-Barcelona<br />

Taipei Metro<br />

SMRT-Singapore<br />

Shanghai Shentong<br />

Nexus Tyne & Wear<br />

MTR-Hong Kong<br />

MTA-New York<br />

London Underground<br />

CTA-Chicago<br />

0<br />

Infrastructure - Number of Stations<br />

0 50 100 150 200 250 300 350 400 450 500<br />

System Utilisation - Average passenger-km per vehicle-km<br />

10 20 30 40 50 60 70 80<br />

System Utilisation - Annual ridership (million) per station<br />

0 2 4 6 8 10 12 14 16 18<br />

74 JOURNEYS | <strong>November</strong> <strong>2011</strong>


Toei - Tokyo<br />

Tokyo Metro<br />

Taipei Metro<br />

SMRT-Singapore<br />

MTR-Hong Kong<br />

MTA-New York<br />

London Underground<br />

CTA-Chicago<br />

Toei - Tokyo<br />

Tokyo Metro<br />

TMB-Barcelona<br />

Taipei Metro<br />

SMRT-Singapore<br />

Shanghai Shentong<br />

Nexus Tyne & Wear<br />

MTR-Hong Kong<br />

MTA-New York<br />

London Underground<br />

CTA-Chicago<br />

Toei - Tokyo<br />

Tokyo Metro<br />

TMB-Barcelona<br />

Taipei Metro<br />

SMRT-Singapore<br />

Shanghai Shentong<br />

Nexus Tyne & Wear<br />

MTR-Hong Kong<br />

MTA-New York<br />

London Underground<br />

CTA-Chicago<br />

Fare Level - Average fare per passenger-km<br />

$0.00 $0.05 $0.10 $0.15 $0.20 $0.25 $0.30 $0.35 $0.40 $0.45<br />

Fare Level - Average fare per boarding<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

S$, PPP<br />

S$, PPP<br />

$0.00 $0.50 $1.00 $1.50 $2.00 $2.50 $3.00 $3.50<br />

Operation Efficiency - Operating cost per boarding*<br />

References<br />

S$, PPP<br />

$0.00 $0.50 $1.00 $1.50 $2.00 $2.50 $3.00 $3.50 $4.00<br />

*Operating cost excludes depreciation<br />

75


References<br />

Toei - Tokyo<br />

Tokyo Metro<br />

TMB-Barcelona<br />

Taipei Metro<br />

SMRT-Singapore<br />

Shanghai Shentong<br />

Nexus Tyne & Wear<br />

MTR-Hong Kong<br />

MTA-New York<br />

London Underground<br />

CTA-Chicago<br />

0.0<br />

*Operating cost excludes depreciation<br />

0.5 1.0 1.5 2.0 2.5<br />

Comparison of Bus Operators<br />

The bus operations in this comparison refer<br />

to those of public buses in a city. They do not<br />

include school bus, company bus, inter-city bus<br />

and tourist bus, etc., because the operating<br />

cost, demand and fares of these systems are<br />

generally different from public buses and<br />

therefore, not directly comparable.<br />

Translink-Vancouver<br />

Toei - Tokyo<br />

TMB-Barcelona<br />

Sydney Bus<br />

SMRT-Singapore<br />

SL-Stockholm<br />

SBST-Singapore<br />

MTA-Washington<br />

MTA-New York<br />

London Bus<br />

KMB-Hong Kong<br />

Dublin<br />

CTA-Chicago<br />

Operation Efficiency - Farebox ratio*<br />

Infrastructure - Fleet Size<br />

76 JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

The infrastructure (i.e., bus fleet of the<br />

operators) is presented as supplementary<br />

information. It has been used to normalise<br />

annual ridership to compare system utilisation<br />

as operators are running at different scales.<br />

0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000


Translink-Vancouver<br />

Toei - Tokyo<br />

TMB-Barcelona<br />

Sydney Bus<br />

SMRT-Singapore<br />

SL-Stockholm<br />

SBST-Singapore<br />

MTA-Washington<br />

MTA-New York<br />

London Bus<br />

KMB-Hong Kong<br />

Dublin<br />

CTA-Chicago<br />

Translink-Vancouver<br />

Toei - Tokyo<br />

TMB-Barcelona<br />

Sydney Bus<br />

SMRT-Singapore<br />

SL-Stockholm<br />

SBST-Singapore<br />

MTA-Washington<br />

MTA-New York<br />

London Bus<br />

KMB-Hong Kong<br />

Dublin<br />

CTA-Chicago<br />

Translink-Vancouver<br />

Toei - Tokyo<br />

TMB-Barcelona<br />

Sydney Bus<br />

SMRT-Singapore<br />

SL-Stockholm<br />

SBST-Singapore<br />

MTA-Washington<br />

MTA-New York<br />

London Bus<br />

KMB-Hong Kong<br />

Dublin<br />

CTA-Chicago<br />

System Utilisation - Annual ridership (million) per bus<br />

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35<br />

Fare Level - Average fare per boarding<br />

0 $0.2 $0.4 $0.6 $0.8 $1.0 $1.2 $1.4 $1.6 $1.8 $2.0<br />

Operation Efficiency - Operating cost per boarding<br />

JOURNEYS | <strong>November</strong> <strong>2011</strong><br />

References<br />

S$, PPP<br />

S$, PPP<br />

$0.0 $0.5 $1.0 $1.5 $2.0 $2.5 $3.0 $3.5 $4.0 $4.5<br />

77


The <strong>LTA</strong> <strong>Academy</strong> was launched in September 2006 by the Singapore Land Transport Authority.<br />

The <strong>Academy</strong> aims to be a global knowledge hub in urban transport. It serves as a one-stop focal<br />

point for government officials and professionals around the world to tap on Singapore’s knowhow<br />

and exchange international best practices in urban transport management and development.<br />

The <strong>LTA</strong> <strong>Academy</strong>’s Advisory Board provides high-level advice on strategic directions and major<br />

initiatives for the <strong>Academy</strong> to establish itself as a leading land transport institution in the world.<br />

The Advisory Board comprises the following international ensemble of distinguished members:<br />

Professor Cham Tao Soon (Chair)<br />

Chancellor and Chairman, SIM University, Singapore<br />

President Emeritus, Nanyang Technological University, Singapore<br />

Professor Henry Fan<br />

Professor, School of Civil and Environmental Engineering, Nanyang Technological University,<br />

Singapore<br />

Professor Fwa Tien Fang<br />

Director, Centre for Transportation Research, National University of Singapore, Singapore<br />

Professor Phang Sock Yong<br />

Professor of Economics and Interim Dean, School of Economics, Singapore Management University<br />

Singapore<br />

O P Agarwal<br />

Vice President, Institute of Urban Transport, India and Senior Transport Specialist, World Bank<br />

Professor Lu Hua Pu<br />

Director, Institute of Transportation Engineering, Tsinghua University, China<br />

Professor Anthony May<br />

Emeritus Professor of Transport Engineering, University of Leeds, United Kingdom<br />

Michael Replogle<br />

Global Policy Director, President Emeritus and Founder, Institute for Transportation and Development<br />

Policy (ITDP), United States of America<br />

JOURNEYS is a biannual publication of the <strong>Academy</strong>. It provides a platform for the <strong>Academy</strong><br />

to showcase and share urban transport trends, policies, technologies and challenges in different<br />

cities. It is also one of the key resources to complement and enhance the learning experience of<br />

participants at the <strong>Academy</strong>’s programmes.


<strong>LTA</strong> <strong>Academy</strong><br />

Land Transport Authority<br />

1 Hampshire Road<br />

Singapore 219428<br />

www.<strong>LTA</strong>academy.gov.sg

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