The concept of “freight landscape,” the basis for a modeling approach for urban freight traffic estimation using commonly available datasets, was proposed in 2017 with a case study applying it to the Los Angeles metropolitan area. To extend the scope of that research, we conduct another case study using data from the Paris region, France. We estimate spatial lag models using population, employment, or establishment transportation accessibilities as explanatory variables and network-based truck traffic as the dependent variable, modifying the approach used in the Los Angeles study. We identify differences in the characteristics of the variables and the models between the Los Angeles and Paris cases, each having a distinctively different urban structure. While the models estimated for the Paris region provide beneficial insights into the relationships between freight landscape indicators and urban freight traffic, the complex correlation structure among indicators, as well as the limitation of the models for specifying the areas of very high truck traffic, underlines the need for further research on the modeling framework and for more case studies.
Testing the “Freight Landscape” Concept for Paris
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 2672 , 9 ; 216-228
2018-06-06
Article (Journal)
Electronic Resource
English
Paris pushes urban freight experiment
Online Contents | 2008
Paris pushes urban freight experiment
British Library Online Contents | 2008
Innovative Rail Freight Concept
IuD Bahn | 2009
|Suborbital Freight Delivery Concept Exploration
British Library Conference Proceedings | 1997
|