Open-Data for Low Emission Development (in ... - Clean Air Initiative

Open-Data for Low Emission
Development (in energy and transport)
in Asia
Sophie Punte
Executive Director, Clean Air Initiative for Asian Cities (CAI-Asia)
World Bank, Washington DC, USA
25 January 2012
Presentation Outline
• Data Needs and Issues
• Knowledge Partnership for measuring Air Pollution and
GHG Emissions in Asia
• Knowledge Partnership and Sustainability
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2/6/2012
1

Why we need data?
Investments
including
development
interventions
Low Emissions Development
Data
Data for
estimating
emissions
Data needs for different purposes
Routinely monitored
Budget
Policies, Plans,
Regulations
On demand Adhoc
CAI-Asia, 2010
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2/6/2012
2

Million tons CO2
High variability in Emissions data
2500
2000
1500
1000
500
0
2005
estimates vary
from 98 to 216
million tons
1980 1990 2000 2010 2020 2030 2040 2050 2060
India transport CO2 emissions estimates and BAU forecast
by different institutions and publications (e.g. TERI, IEA, WRI, CAI-Asia)
Gota.S. (to be published). Crunching Numbers
About CAI-Asia: Who we are
www.cleanairinitiative.org
CAI-Asia promotes better air quality and livable cities by translating
knowledge to policies and actions that reduce air pollution and
greenhouse gas emissions from transport, energy and other sectors.
CAI-Asia was established as the premier air quality network for Asia
by the Asian Development Bank, World Bank and USAID in 2001, and
operates since 2007 as an independent non-profit organization.
CAI-Asia us a UN recognized Partnership with more than 230
organizational members and 8 Country Networks
6
5
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3

Government
agencies
About CAI-Asia
www.cleanairinitiative.org
CAI-Asia Partnership Members
(231 organizational members as of December 2011)
China
Vietnam
Sri Lanka
NGOs, academic &
research institutions
What we do
• Knowledge & & Data Data
• Tools & Assessments
8 Country Networks
Cities
India
CAI-Asia
Center
Philippines
• Policy & Program Support
• Networking & Partnerships
Development
agencies
Indonesia
Nepal
Pakistan
Private sector
About CAI-Asia: How we work
www.cleanairinitiative.org
CAI-Asia Programs
Air Quality and
Climate Change
Low Emissions Urban
Development
Clean Fuels and Vehicles
Green Freight and
Logistics
Input from partners
Network of City Networks
• Asian Cities Climate Change
Resilience Network
• Cities Development Initiative for Asia
• CITYNET
• Earthquakes and Megacities Initiative
• Global City Indicators Facility
• Global Energy Network for
Sustainable Cities
• ICLEI-Local Governments for
Sustainability Southeast Asia
Secretariat
• Kitakyushu Initiative (IGES)
• Metropolis
• Sustainable Cities International
• Sustainable Mobility & Accessibility
Research & Transformation (SMART)
• Union of Cities and Local
Governments Asia Pacific (UCLG-
ASPAC)
• Urban Age Institute
7
What we aim for
Reduced air pollution
and greenhouse gas
emissions
Improved health
Energy savings
Livable cities
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CAI-Asia Portal and Helpdesk
CAI-Asia Portal and Helpdesk
Participant
CAI-Asia
• Tools and assessments
• Publications
• Clean Air Mgt Profiles
•Newsletters
• Surveys
• Data and indicators
• Helpdesk
• Policies, Projects
• Country profiles
• Events
www.cleanairinitiative.org
Audience
Feedback
Clean Air Portal
Clean Air Portal
CAI-Asia Helpdesk :
Over 500 queries in 2011
Clean Air Portal with organizations, projects, policies, news, publications, tools, and events relevant to
air quality, climate change, energy and transport
CitiesACT database on air quality levels, CO 2 emissions, transport and energy data and indicators for 250
Asian cities and 22 countries. Users can search by location, topic, and create online charts and figures
Clean Air at Mega-Events website with information
of past, present and future mega-events to guide
future host cities on measures and strategies to
improve clean air management in their cities
www.cleanairinitiative.org
Green Freight and Logistics website
with information on policies and
programs, technologies and logistics, and data
relevant to the freight sector
10
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Knowledge Partnership for
measuring Air Pollution and GHG
Emissions in Asia
2/6/2012
Knowledge Partnership for measuring Air
Pollution and GHG Emissions in Asia
• Objective :
– To help policy makers, development agencies and
other stakeholders in Asia have better access to air
pollution and GHG emissions data to further enrich
policy development activities and development
interventions relevant to energy and transport
sectors and urban development.
• Scope: Road transport (national and city) and
electricity generation (national)
– Road Transport: CO2, NOx and PM emissions
– Electricity generation: CO2, PM and SO2 emissions
• Donor: 15% World Bank Development Grant Facility
(DGF) and 85% leveraged through other donors
• Duration: Nov 2009 -Dec 2012
• TTL: Sameer Akbar (sakbar@worldbank.org)
Bangladesh
• Dhaka
• Chittagong
China
• Beijing
• Shanghai
India
• Delhi
• Bangalore
Indonesia
• Jakarta
• Surabaya
Lao PDR
• Vientiane
Mongolia
• Ulaanbaatar
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11
Nepal
• Kathmandu
Pakistan
• Islamabad
• Karachi
Philippines
• Manila
• Davao
Singapore
Sri Lanka
• Colombo
• Kandy
Thailand
• Bangkok
• Chiang Mai
Vietnam
• Hanoi
• HCMC
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Steps and Outputs
1. Select Indicators + Input Parameters (Long list)
2. Data Mapping for Energy and Transport Input Parameters
3. Select Indicators + Input Parameters (short list)
4. Develop Guidelines for development,
measurement and use of GHG and AP Indicators
5. Data collection of transport and energy input
parameters (input data)
Collection of
available data
Estimation for
unknown data
6. Derive indicators + 7. Review results
8. Upload of data and Indicators in CitiesACT
9. Benchmarking Report
10. Dissemination and Communication
Launch at BAQ 2012
1. Select Indicators + Input Parameters
(Long list)
• Purpose of Indicators
• Describe the state of air
pollution and GHG
emissions in the transport
and energy sectors
• Assess and measure trends
and tendencies against a
baseline
• Identify priority areas and
track progress of actions
• Selection Criteria
Demand-driven
Scientifically robust
Measurable
Data availability
Representative
Understandable
Transparency
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1. Select Indicators + Input Parameters
(Long list) - Example
• Indicator: Road transport CO2 emissions per
passenger km
• Unit of measure: grams CO2 per passenger km
• Input parameters (for different types of
passenger vehicles)
– Average vehicle km travelled (Ave VKT)
– Vehicle population
– Average occupancy
• Vehicle population long list
– Vehicle registration
– Vehicle sales
– Vehicle production
– In use vehicles
2. Data Mapping for Input Parameters:
Transport data availability
15
• Most available data is vehicle
registration, production and
sales – but level of
aggregation is high, typically,
only disaggregated by
vehicle- vehicle fuel type.
• Limited information on
vehicle technology uptake
• In-use vehicle population data
is not available. Estimates are
for purchase
• Limited activity data
• Local emission factors rarely
available, except for China
and India
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8

Data quality checks
2. Data Mapping for Input Parameters:
Energy data availability
• Limited data available for
– pollution abatement technologies for
power plants
– population with access to electricity
– non-fossil fuel/renewable energy
sources
– electricity consumption data for
transport, own-use, and losses
– heat rate data
• Aggregated data for fossil fuels,
lumped under “thermal” energy
– e.g. China, Pakistan, and India
• Lack of local values for data
needed to calculate emission
factors
– i.e. combustion efficiency, heating
value, combustion factors, calorific
values, etc.
2. Data Mapping for Energy Input Parameters:
example vehicle registration data in Sri Lanka
Potential errors and uncertainties
CAI-Asia, 2010
Dept of
Census &
Statistics
Veh class, Fuel used
Central Bank of SL
Vehicle class
Divisional Secretariat: Data Generator
For annual revenue license: Vehicle class, Fuel used, Vehicle weight, others
Dept of Motor Traffic: Data Generator
Easily
accessible to
data users
New Registrations: Vehicle make, Color, Manufacture year, Model, Veh. No., Engine No., Tire size, Wheel
base, Chassis No., Type of body, Gross veh. weight., Veh category, Ownership, Usage, Import license,
Overall measurement, Purpose of use, Registration status, Driving side, Country of origin, Fuel used, Pay
load, Cylinder capacity, Seating capacity, Veh type description by manufacturer
Data availability
Ease of accessibility
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2. Data Mapping for Input Parameters:
summary data issues
• Limited data availability
• Varying data quality
• Limited data accessibility
• Lack of coordination
between agencies
collecting data
• Limited budget
Ministry Data
Motor vehicle registration
Transport Licenses issued
Passenger and freight kilometers
Rail
Length of railways
Passenger and freight kilometers
Length of roads
Public Works
Surface type and paved roads
Number and length of bridges
Road accidents
Fuel consumption by volume and by
Energy
type of fuel
Fuel pump price
Environment Emissions inventories
Economy/ Trade/ Economic growth – , etc.
Customs Volume of trade; Vehicle imports
Economic growth and infrastructure
Finance
growth
Transport investment
Census Population
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3. Select Indicators and Input Parameter
(Short list) - Indicators
RoadTransport
• CO 2 emissions
• PM emissions
• NOx emissions
– per GDP
– per capita
– per passenger-km
– per freight ton-km
– per vehicle type
– per vehicle-fuel type
• Road transport total fuel
consumption
– per capita
– per GDP
Energy (Electricity)
• CO 2 emissions
• PM 10 emissions
• SO 2 emissions
– by source type (generation)
– per kWh (generation)
– by end-use sector (consumption)
– per GDP (consumption)
– per capita (consumption)
• Total electricity consumption
– per GDP
– per capita
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3. Select Indicators and Input Parameters
(Short List) Example CO2 emissions
Indicators Input Parameters
T1 Total CO 2 emissions from road
transport
T2 Road transport CO2 emissions per
GDP
T3 Road transport CO2 emissions per
capita
T4 Road transport CO 2 emissions per
passenger km
T5 Road transport CO 2 emissions per
freight ton-km
T6 Road transport CO 2 emissions per
vehicle type
T7 Road transport CO 2 emissions per
vehicle-fuel type
4. Develop Guidelines
• Introduction
• AP/GHG Indicators and input
parameters selection
– 24 transport indicators
– 21 energy indicators
• Guidelines for Generation,
interpretation and analysis of
indicators
• Annexes
– Indicator initiatives of international
organizations
– Default values for transport and
energy input parameters
Average vehicle-kilometers traveled (VKT)
Vehicle population
Fuel efficiency
Emission factor
Fuel characteristics
Total CO2 emissions from road transport
Gross Domestic Product (GDP)
Total CO2 emissions from road transport
Total population
Average occupancy
Passenger kilometer travelled
Total CO2 emissions from road transport
Average load
Freight ton-kilometer travelled
Total CO2 emissions from road transport
Average VKT
Vehicle population per vehicle type, vehicle-fuel
type
Fuel efficiency
Emission factor
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4. Develop Guidelines
Example Road transport CO2 / passenger km
• Indicator code: T4
• Definition: CO2 emissions per transport unit (passenger-km) by
road transport (adapted from EEA TERM)
• Unit of measurement: grams CO2 per passenger km
• Policy relevance
– Purpose: reducing CO2 by increasing occupancy rates and load factors
and by decreasing CO2 per vehicle km
– International conventions and agreements
• Fifth Regional EST Forum – Bangkok 2020 Declaration
• Brunei Action Plan 2011-2015
• ASEAN-Japan Action Plan on Env Improvement in the Transport Sector
• Kyoto Protocol
– International targets / recommended : no international targets but
some national targets (Japan, Netherlands)
4. Develop Guidelines
Example Road transport CO2 / passenger km
• Methodology
– Measurement method
(1) TKM = Σ[(Ave VKT a * Vehicle Population a ) * Load factor a ]
– Sub- and associated indicators: PM and NOx indicators
– Limitations of the indicators:
• Passenger km rarely available
• Vehicle occupancy statistics for different type of vehicles
• Organizations: IEA, ITF, European Environment Agency,
National governments under UNFCCC
• References
(2) T4 = T1 x
TKM
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5. Data Collection
• CAI-Asia country networks and contacts
• Calculation tools for easy input of data
• Data sources
– Requests/Interview with primary data sources
– Desktop reviews
– Purchased data
• Only secondary data, no primary data collection
5. Data Collection: Calculation tools
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5. Data Collection: Calculation tools
6. Derive Transport Indicators
A
TRIPS
km
S
TRANSPORT
mode
I
FUEL +
ELECTRICITY use
F
Activity Structure Intensity Fuel
EMISSION
FACTORS
CO2
PM
NO2
28
Source: Schipper et al. 1999. Flexing the Link. Reducing Carbon Emissions from Transportation in Developing Countries
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6. Derive Transport Indicators
CAI-Asia, 2011
Data Sources
Surveys: Vehicle inventory and use,
household travel and national travel surveys
Vehicle Registration
Vehicle mortality equation
Vehicle Production, Sales and Imports
Estimated from Average Trip Length and
Average Number of Trips
Origin and Destination (O-D) surveys
Number Plate survey
Average Odometer Readings
Studies deriving emission factors for
different vehicle types
Interviews or surveys of fleet operators
Speed Surveys
Speed flow equations
Dynamometer-based drive cycle tests to
simulate typical driving conditions and
traffic speeds
National bio-fuel mandates and targets
Vehicle Occupancy Data Collection Methods
Axle Load survey
7. Review Results
• Documentation of
– Source
– Assumptions
– Methodology
Can be broken down by
vehicle-fuel type
Select how
detailed your
vehicle
population
data is
Vehicle population by vehicle sub-types
Average VKT for each of the vehicle sub-types (VKT/year)
Average fuel efficiency for each of the vehicle sub-types at 50
kmph (km/liter)
Average speed for each of the vehicle types
CO2 emission factors for the different fuel types (km/Liter)
% blend of bio-fuels in the gasoline and diesel being used for
road transportation
NOx emission factors for each of the vehicle sub-types (g/km)
PM emission factors for each of the vehicle sub-types (g/km)
Average occupancy/loading of the vehicle types
GDP per capita
Population
• Comparison of results with data from
Can be broken down to
vehicle-fuel-emissions
standards
Indicators
Total VKT
Total fuel consumption
Total CO2 Emissions
Total NOx Emissions
Total PM Emissions
Total PKM and TKM
– Other organizations including IEA, World Bank, ADB and others
– Country reports and studies
• Consultation with government and local experts
(through personal communication)
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8. Asia AP/GHG Indicators Report:
Philippines Country Profile
DRAFT
8. Asia AP/GHG Indicators:
Philippines Transport Indicators
2W, 3W, PC, MUV, LCV, HCV
Million metric tons
7000
6000
5000
4000
3000
2000
1000
Vehicle Population (’000s) Motorization Index (V/1000 P)
0
0
2000 2002 2004 2006 2008 2010
2W 3W PC MUV LCV HCV Bus
Total CO2, PM and NOx emissions from
road transport*
35
160
30
140
25
120
20
15
10
100
80
60
40
5
20
0
0
2000 2002 2004 2006 2008 2010
PM emissions (thousand metric tons)
NOx (thousand metric tons)
CO2 emissions (million metric tons)
*Does not incorporate improvements in vehicle technologies
40
35
30
25
20
15
10
5
Bus
Thousand metric tons
80
70
60
50
40
30
20
10
0
Million metric tons
35
30
25
20
15
10
5
2W 3W PC
MUV Bus LCV
HCV Total
2000 2002 2004 2006 2008 2010
CO 2 emissions per vehicle type
0
2000 2002 2004 2006 2008 2010
2W 3W PC MUV BUS LCV HCV
32 DRAFT
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Million metric tons
8. Asia AP/GHG Indicators Report:
Philippines Energy Indicators
TWh
Total generation and consumption Electricity generation by
source type (2010)
80
70
60
50
40
30
20
10
GENERATION
CONSUMPTION
0
2000 2002 2004 2006 2008 2010
Total CO2, PM and SO2 emissions from
1200
electricity generation
20000
1000
800
600
400
200
0
0
2000 2002 2004 2006 2008 2010
PM emissions (thousand metric tons)
SO2 emissions (thousand metric tons)
CO2 emissions (million metric tons)
15000
10000
5000
8. Asia AP/GHG Indicators Report:
Metro Manila City Profile
DRAFT
Thousand metric tons
Million metric tons
50
40
30
20
10
Electricity consumption by
end-use sector (2010)
CO 2 emissions per end-use sector
0
2000 2002 2004 2006 2008 2010
Residential sector Commercial sector Transport sector
Other sectors Own-use and losses
PM 10 , µ g / m 3
33 DRAFT
GDP AND POPULATION IN METRO MANILA
GDP (Thousand PHP at
constant 1985 prices) million
80
70
60
50
40
30
20
10
0
500
450
400
350
300
250
200
150
100
50
0
2000 2002 2004 2006 2008
Total Population (million)
GDP (Thousand PHP at constant 1985 prices) (million)
ANNUAL AVERAGE PM 10 AND PM 2.5
LEVELS IN METRO MANILA
PHI PM 10 Annual NAAQS
WHO PM 10 Annual AQG
WHO PM 2.5 Annual AQG
2002 2003 2004 2005 2006 2007 2008 2009 2010
12
12
11
11
10
10
9
PM10
PM2.5
Total Population (million)
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8. Asia AP/GHG Indicators Report:
Metro Manila Transport Indicators
2000
1800
1600
1400
1200
1000
Million metric tons
800
600
400
200
9
8
8
7
7
0
Vehicle Population (’000s) Motorization Index (V/1000 P)
2W 3W PC MUV
Bus LCV HCV
2000 2002 2004 2006 2008 2010
Total CO 2, PM and NO x emissions from
road transport*
6
2000 2002 2004 2006 2008 2010
PM emissions (thousand metric tons)
NOx (thousand metric tons)
CO2 emissions (million metric tons)
*Does not incorporate improvements in vehicle technologies
30
25
20
15
10
5
0
Thousand metric tons
180
160
140
120
100
80
60
40
20
0
8. Asia AP/GHG Indicators Report:
Country Comparisons for Transport
160
140
120
100
80
60
40
20
0
2000
2004
2008
2000
2004
2008
2000
2004
2008
2000
2004
2008
2000
2004
2008
2000
2004
2008
2000
2004
2008
400
350
300
250
200
150
100
50
0
PRC IND INO NEP PHI SRI VIE
Total Vehicles (millions) (Left Axis) Motorization Index (V/1000 P) (Right Axis)
Million metric tons
9
8
7
6
5
4
3
2
1
2000 2002 2004 2006 2008 2010
2W 3W PC MUV Bus LCV HCV Total
CO 2 emissions per vehicle type
0
2000 2002 2004 2006 2008 2010
2W 3W PC MUV BUS LCV HCV
35
DRAFT
Total Vehicle Population and Motorization Index Motor Vehicles by Mode for 7 Asian
Countries
Road Transport Sector CO 2 Emissions Road Transport Sector PM Emissions*
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Millions
300
250
200
150
100
Thousand metric tons
50
0
400
350
300
250
200
150
100
2005
2007
2009
2006
2008
2005
2007
2009
2006
2008
2005
2007
2009
2006
2008
2005
2007
2009
50
2W 3W PC MUV Bus LCV HCV
PR China
India
Indonesia
Nepal
Philippines
Sri Lanka
Vietnam
DRAFT
0
2005 2006 2007 2008 2009
36
*Does not incorporate improvements in vehicle technologies
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Million metric tons
Thousand metric tons
8. Asia AP/GHG Indicators Report:
Country Comparisons for Energy
CO 2 emissions from electricity generation Electricity consumption per capita
5,000
4,000
3,000
2,000
1,000
-
2000 2002 2004 2006 2008 2010
China India Indonesia Nepal
Pakistan Philippines Sri Lanka Vietnam
SO 2 emissions from electricity generation Electricity consumption per country (2010)
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Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and then insert it again.
9. Open Data: CitiesACT – www.citiesACT.org
TWh
kWh/capita
37 DRAFT
CitiesACT database on air quality levels, CO 2 emissions, transport and energy data and indicators for 250
Asian cities and 22 countries. Users can search by location, topic, and create online charts and figures
Countries & Cities
•Population (total,
percent urban,
electricity access)
•GDP
•Number and list of
mega-cities
Air Quality
& Climate Change
• Air quality standards
• Air quality data
(PM10, SO2, NOx)
• Monitoring stations
• Air pollution and CO2
indicators
Main data source for WHO Outdoor
Air Pollution in Cities database
(www.who.int/phe/health_topics/out
doorair/databases/en/)
Energy
Transport
• Emissions from electricity • Emissions standards
generation by source type, kWh • Fuel quality standards
• Emissions from electricity • Fuel economy
consumption by end-use standards
sector, GDP, capita
• Road transport
• Energy statistics
emissions total and per
capita, GDP, passenger
km and freight, vehicle
type, vehicle-fuel type
• Motorization index
• Transport statistics
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9. Open Data: CitiesACT – www.citiesACT.org
• Data and graphs can be downloaded
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10. Dissemination and Communication
• Launch at BAQ 2012 (Dec 2012)
• Dissemination at other events
and through partners
How the project fits in Knowledge
Partnership and Sustainability
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Leveraging both ways
TRL: Comp
Review
Transport + CC
ADB Transport
Data in Asia
Study
TEEMP (ADB,
ITDP, Veolia,
World Bank)
GIZ Country
Profiles
ITPS Low Carbon
Transport ASEAN
Low Emissions
Cities Project
1. Select Indicators + Input Parameters (Long list)
2. Data Mapping for Energy and Transport Input Parameters
3. Select Indicators + Input Parameters (short list)
4. Develop Guidelines for development,
measurement and use of GHG and AP Indicators
5. Data collection of transport and energy input
parameters (input data)
Collection of
available data
Estimation for
unknown data
6. Derive indicators + 7. Review results
8. Upload of data and Indicators in CitiesACT
9. Benchmarking Report
10. Dissemination and Communication
Launch at BAQ 2012
IGES MRV
Adoption of Indicators by Asian governments
• Environmentally Sustainable Transport
(EST) Forum of 22 Asian countries
organized each year by UNCRD
• Bangkok 2020 Declaration - Asian
governments agree on 20 EST goals for
2010-2020
• Includes performance indicators for each
goal
• CAI-Asia prepared Background Paper on
data and indicators for Sustainable
Transport under the Bangkok 2020
Declaration
• http://www.uncrd.or.jp/env/est/
UNCRD EST
Data and
Indicators
EF Green
Freight China
Program
ADB Data
Initiative
Shell PHI
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Data Need for National Green Freight
programs and initiatives
World
• US SmartWay
• European
SmartWay
• Canada FleetSmart
• Mexio Transporte
Limpio
• Australia
• Other…
Asia
Green Freight at
EST Forum
Carbon neutral
freight corridor in
GMS region
Green Freight in
India
Green Freight
Asia Network
(private sector )
Other…
Low Emissions Cities Project
• Development and application
of the rapid assessment for
city emissions (RACE) tool :
– Energy use in industrial,
commercial, residential
buildings and transport
– Land use and transport
integration
Green
Logistics
Wuhan
China
Study Tours
to US and
Europe
Guangdong GEF
Green Trucks
Project
Other…
China
Institutions
and Policy
Study
Guangdong
International
Green Freight
Fair
Guangzhou Green
Trucks Pilot
Project
Second Green
Freight Seminar
Green Freight
China Program
Phase 2
First Green
Freight
Seminar
Green Freight
China Program
Phase 1
World Bank TTL: Ke Fang
(kfang@worldbank.org)
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Low Emissions Cities Project:
HCMC Scenarios
Baseline 2010
Low Emissions Cities Project:
HCMC Scenarios Results
BAU 2030
Alternative Development 2030
• 2030 reductions potential under alternative scenario
– Transport
– 27% CO2 emissions
– 44% PM emissions
– 54% NOx emissions
• Indirect emissions reductions from grid electricity use
– 12% CO2 emissions
– 16% PM emissions
– 11% NOx emissions
– 13% CO emissions
– 10% SOx emissions
Baseline2010 BAU2030 Alternative2030
Total CO2 (tons) 4,385,100.13 9,788,747.01 7,156,105.82
Total PM (tons) 11,645.49 10,989.27 6,148.52
Total NOx (tons) 23,210.10 48,219.43 22,019.73
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Potential linkages with
WB Climate Change Knowledge Portal
• Data sharing on transport
and energy AP and GHG
emissions for Asia
• As a recognized partner on
knowledge management
Proposed Next Steps
• Launch Asia AP/GHG Indicators Report at BAQ 2012
together with World Bank
• Pre-event / session at BAQ 2012 on data
• Translation of guidelines, report, CitiesACT into other
Asian languages
• Updating of data / indicators
• Issuance of Indicators Report every 2 years at BAQ
• Embed data use and collection methods into
agreements, programs, policies/plans, development
assistance
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For more information
CAI-Asia China Office
cpo@cai-asia.org
901A Reignwood Building,
No. 8 YongAnDongLi
Jianguomenwai Avenue Beijing
China
CAI-Asia Center
center@cai-asia.org
Unit 3505 Robinsons-Equitable Tower
ADB Avenue, Pasig City
Metro Manila 1605
Philippines
CAI-Asia Country Networks
China . India . Indonesia . Nepal . Pakistan . Philippines . Sri Lanka . Vietnam
CAI-Asia Center Members 231 CAI-Asia Partnership Members
www.cleanairinitiative.org
CAI-Asia India Office
india@cai-asia.org
Regus Elegance
Elegance Tower, Mathura Road,
Jasola Vihar, New Delhi
India
• 45 Cities
Donors in 2011
Asian Development Bank ClimateWorks Foundation Energy Foundation
Fredskorpset Norway Fu Tak Iam Foundation German International
• 19 Environment ministries
Cooperation (GIZ) Guangdong Government Institute for Global
• 13 Other Government agencies
Environmental Strategies (IGES) Institute for Transport Policy Studies
• 17 Development agencies and foundationsInstitute
for Transportation and Development Policy International Union for
Conservation of Nature Korea Transport Institute MAHA Philippine
• 66 NGOs
Business for the Environment United Nations Centre for Regional
• 37 Academic and research institutes
Development (UNCRD) United Nations Environment Program Partnership
• 32 Private sector companies
53
for Clean Fuels and Vehicles (UNEP PCFV) Veolia World Bank
2/6/2012
27