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challenges facing express delivery services in canada's urban centres

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Institute of Hous<strong>in</strong>g & Mobility<br />

Challenges <strong>fac<strong>in</strong>g</strong> the EDS <strong>in</strong>dustry <strong>in</strong> Canada's <strong>urban</strong> <strong>centres</strong><br />

ANALYSIS OF PACKAGE DELIVERY DATA<br />

This section explores the spatial trends and concentrations that are characteristic of the courier<br />

<strong>in</strong>dustry. Given that the <strong>in</strong>dustry is primarily utilized by the <strong>services</strong> sector, which is predom<strong>in</strong>antly<br />

located <strong>in</strong> <strong>urban</strong> areas, it should come as no surprise that a very large number of packages are<br />

delivered to and retrieved from <strong>urban</strong> areas.<br />

The analysis presented here reveals the spatial concentration of the couriers' activity. The data<br />

collected from a select group of couriers and same day messengers allows us to shed light on<br />

where and how many packages are delivered on a daily basis. This contributes to the primary<br />

purpose of this report, which is to improve awareness amongst <strong>urban</strong> transport planners and<br />

municipal politicians about the important role played by couriers and same day messengers <strong>in</strong><br />

susta<strong>in</strong><strong>in</strong>g economic activity <strong>in</strong> <strong>urban</strong> <strong>centres</strong> <strong>in</strong> Canada. It was therefore decided to undertake a<br />

spatial analysis of the packages delivered <strong>in</strong> various cities to identify the extent of activity by the<br />

couriers and same day messengers.<br />

The fact that most stakeholders concerned with <strong>urban</strong> mobility (i.e. commuters, planners, municipal<br />

politicians, and others) watch vehicles carry<strong>in</strong>g logos of couriers and same day messengers<br />

parked on busy city streets, yet are seldom aware of the extent of the spatial concentration of<br />

the courier <strong>in</strong>dustry. Thus, <strong>urban</strong> planners and municipal politicians along with commuters are<br />

likely to be not fully cognisant of the role played by couriers and same day messengers <strong>in</strong><br />

ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g the vitality and the activity of an economy that relies on the 700 million deliveries<br />

every year to Canadian bus<strong>in</strong>esses and <strong>in</strong>dividuals.<br />

Methodology<br />

In consultation with <strong>in</strong>dustry stakeholders, the research team concluded that the best way to<br />

educate the stakeholders i.e., municipal planners, politicians, and commuters <strong>in</strong> general, is to<br />

<strong>in</strong>troduce them to the <strong>in</strong>tensity of couriers and same day messengers activity <strong>in</strong> various parts of<br />

large <strong>urban</strong> <strong>centres</strong>. The <strong>in</strong>itial plan for package <strong>delivery</strong> analysis was as follows. The lead<strong>in</strong>g<br />

<strong>in</strong>dustry stakeholders were approached and requested to share the disaggregate data on<br />

package deliveries to designated areas <strong>in</strong> downtown Vancouver, Calgary, Montreal, and<br />

Toronto. It was also decided that the package/parcel <strong>delivery</strong> data were to be observed for<br />

four one week durations dur<strong>in</strong>g four different months to obta<strong>in</strong> a sense of seasonality <strong>in</strong> packages<br />

delivered to and picked up from these areas. Therefore, a week's worth of package <strong>delivery</strong><br />

data from 2007 were collected for the months of April, June, September, and December each.<br />

Once the data were compiled from all sources, it became obvious that the complete dataset was<br />

available for only Toronto. Most <strong>in</strong>dustry stakeholders provided data for Toronto, while only<br />

some provided for Vancouver, Calgary, and Montreal as well. S<strong>in</strong>ce Toronto data were most<br />

complete, the research team would proceed with the analysis of Toronto data, which was further<br />

scoped down to primarily focus on downtown Toronto.<br />

The research team used geographic <strong>in</strong>formation systems (GIS) to geo-code data. Geo-cod<strong>in</strong>g is a<br />

process that attaches longitude and latitude coord<strong>in</strong>ates to all deliveries so that the data can be<br />

plotted on a map and analyzed. Once the data were geo-coded, the research team first<br />

aggregated the data at the postal code level, and later aggregated the data further at the<br />

traffic analysis zone (TAZ) level, which are the spatial del<strong>in</strong>eation zones used by the transport<br />

Page 43

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