TRBAM: Freight Demand and Choice Modeling Using Advanced Data Sets (Poster Session 3176)

Freight Demand and Choice Modeling Using Advanced Data Sets (Poster Session 3176)

This poster session brings in fifteen selected papers that use freight modeling for solving issues.

Poster: Does Proximity Matter?: An Analysis of West Seattle Shopping Trends (TRBAM-24-05914)

This study analyzes how goods type as well as geographic factors affect consumer shopping behavior. In particular, the choice of shopping in-person or using online options including home delivery, as well as travel mode choice is studied. Data on shopping choices was collected through an anonymous survey distributed online over 3 months in summer 2022, asking about consumers’ most recent shopping experience in one of four categories of goods: groceries, household supplies, restaurant food, clothes. The sampled population were residents in the geographical area known as “West Seattle” within Seattle, Washington. Discrete choice models are estimated to identify significant factors in shopping choice in addition to statistical testing of trends observed in survey responses. The results reveal a strong preference for driving when shopping in-person and a 10-minute preferred travel time when driving or walking. Online shopping is observed to rise above projections, but preference for it is dependent on the type of goods being shopped for. Results suggest that proximity to destination and available of alternatives has a modest effect on likelihood of walking but imply that efforts to decrease vehicle trips for shopping will need to go beyond bringing establishments closer to residents.

Authors:

• Rishi Verma, University of Washington, Seattle
• Giacomo Dalla Chiara, University of Washington
• Anne Goodchild, University of Washington, Seattle