Travel Behavior Modeling and Emerging Mobility Technologies - Annual Report from the University of Washington To Argonne National Laboratory

Abstract

This report presents work completed at the University of Washington in 2020-21 under contracts with Argonne National Laboratory. Specifically, it includes work completed in the fourth year of the UW’s efforts on the US-China Clean Energy Research Center - Clean Vehicles Consortium (CERC-CVC), and work under the Systems and Modeling for Accelerated Research in Transportation (SMART) consortium. The work completed includes survey design, data collection, and modeling. Specifically, we report on: 1. Modeling and analysis of autonomous vehicle mode choices and car ownership decisions that leverage data collected in prior years with CERC-CVC support. 2. Collection of data on travelers’ preferences for solo and pooled ridehailing services, taking advantage of a survey that was designed with prior CERC-CVC support but delayed by the onset of the COVID-19 pandemic. We also report on modeling efforts employing these data. 3. Design and administration of a stated choice survey of ridehailing drivers, aimed at collecting data to support modeling of drivers’ working time, location, and trip request acceptance decisions. We also include a summary of some practical lessons learned about surveying this hard-to-reach group. 4. Analysis of changes in transit usage before and during the COVID-19 pandemic, exploring differences between those who plan to return to transit and those who do not. 5. The design of a survey intended to link personality traits with preferences for autonomous vehicles and for sharing rides in ridehailing services.