Research Projects
Searching for:
- "Freight modeling"
Start Date: August 2025
Funding: PacTrans Region 10 University Transportation Center, Transportation Technology and People (TTP) Lab at Portland State University, Urban Freight Lab
Project Budget: $195,000
Principal Investigator(s): Dr. Anne Goodchild
Other PI(s): Dr. Miguel Figliozzi (Portland State University)Dr. Tanmoy Bhowmik (Portland State University)
Partner(s): Transportation Technology and People (TTP) research lab at Portland State University (PSU)
Summary:
This project brings together researchers from Portland State University and the Urban Freight Lab to develop new methods for estimating e-commerce-related vehicle miles traveled (VMT) in the Seattle and Portland regions. The research combines household e-commerce demand data, detailed inventories of logistics facilities and delivery touchpoints, and real-world delivery routing data to better understand how online shopping affects urban freight activity. The project will develop and test new approaches for modeling e-commerce demand, delivery routing, and freight VMT, while comparing results generated using national datasets with those derived from richer regional data sources. The resulting tools and datasets will help planners and policymakers better understand the transportation, environmental, and infrastructure impacts of e-commerce growth.
This project brings together researchers from Portland State University and the Urban Freight Lab to develop new methods for estimating e-commerce-related vehicle miles traveled (VMT) in the Seattle and Portland regions. The research combines household e-commerce demand data, detailed inventories of logistics facilities and delivery touchpoints, and real-world delivery routing data to better understand how online shopping affects urban freight activity. The project will develop and test new approaches for modeling e-commerce demand, delivery routing, and freight VMT, while comparing results generated using national datasets with those derived from richer regional data sources. The resulting tools and datasets will help planners and policymakers better understand the transportation, environmental, and infrastructure impacts of e-commerce growth.