1B <p>The Urban Freight Landscape Atlas</p>

Project Number


Project Summary

The Urban Freight Landscape Atlas

Project Status


Project Report



Topic Area

Sustainable Urban Freight

P.I. Name & Address

Director of Research, IFSTTAR, French Institute of Science and Technology for Transport, Development and Networks - University of Paris-East
14-20 boulevard Newton, Cite Descartes
77447 Marne la Vallee cedex 2
Professor; Margaret and John Ferraro Chair in Effective Local Government; Senior Associate Dean for Research and Technology; Director, METRANS , Sol Price School of Public Policy
University of Southern California
650 Childs Way
Ralph and Goldy Lewis Hall (RGL) 216
Los Angeles, CA 90089-0626
United States
Professor; Van Horne Researcher in Transportation and Logistics, Global Studies and Geography; University Transportation Research Center, Region 2 (UTRC)
Hofstra University; University of Calgary
100 Hofstra University
Hempstead, NY 11549
United States
Research Fellow; Director, Division for Logistics Policy and Industry
Korea Transport Institute (KOTI)
315, Goyangdaero, Ilsanseo-gu
Goyang-si, Gyeonggi-do
South Korea

The purpose of the urban freight landscape atlas is to provide a collection of maps providing a comparative perspective about key elements impacting city logistics across the four metropolitan areas of the MF project.  

The first stage of the project focuses on the design of a composite map template as well as the production of three comparative maps: 1) Population density, 2) Employment density, and 3) Population density/employment density grid.  The second stage will aim at producing more complex sets of maps related to the transport infrastructure, and elements of urban freight transport supply and demand.

Each metro area is providing a GIS dataset (developed in the first year) using the same units of reference (metric; km and square km) and the same scale.  For the US, census tracks are  the unit of analysis.  For Seoul and Paris, units that are a close as possible to census tracts and for which data are available were selected: the district for Seoul and municipalities for Paris.  The time unit for the datasets is around 2010.  Time series may be analyzed later on as more data is collected and made available.