Part C. City Logistics Data and Models

The characteristics of city logistics need to be measured with representative variables requiring data collection. This favors the development of models to better simulate freight distribution in an urban environment, particularly the main generators and attractors of freight.

Editors: Alison Conway, Genevieve Giuliano, Jee-Sun Lee

Section 7. Data sources and collection

Lead: Jee-Sun Lee

The major types of urban freight mobility data. Emerging strategies and technologies in the collection of urban freight data.

  • Urban Freight Surveys. Dr. Florence Toilier.

Section 8. Urban freight models

Lead: Alison Conway

Review of the most common models used to estimate the generation, attraction and allocation of urban freight movements. The benefits and pitfalls of urban freight modeling.

  • City Logistics Modeling. Dr. Florence Toilier.
  • Demand Forecasting and Scenario Building. Dr. Florence Toilier.

Section 9. Analytical methods

Lead: Genevieve Giuliano

Methods used to analyze city logistics problems and estimate impacts of alternative policy strategies. May include simulation modeling, quasi-experimental design, optimization, or decision analysis.