Friday, March 19 @ 12:00 PM EST
This webinar is part of the Friday Transportation Seminar Series.
About the Webinar:
Investigating Autonomous Vehicle Impacts on Individual Activity-Travel Behavior (Research undertaken with graduate students Katherine Dannemiller, Aupal Mondal, and Katherine Asmussen)
There is considerable literature on the potential effects of autonomous vehicle (AV) availability on AV adoption behavior, the paradigm of adoption, and potential macro-level network effects in terms of congestion and environmental benefits. There is, however, less attention on short-term individual-level activity-travel behavior responses to AV access. The current presentation uses individual socio-demographics, as well as psycho-social variables (in the form of latent psychological constructs) and built environment variables, as determinants of five dimensions of stated short-term activity-travel choices in response to having AV access: (1) Additional local area trips, (2) Trip distance to shop or eat-out activities in the local area, (3) Trip distance to social/recreational activities in the local area, (4) Additional long distance road trips beyond the local area, and (5) Commute travel time,. A multivariate ordered-response model is estimated, using data from a 2019 Austin area survey of new mobility service adoption and use. The analysis underscores the importance of the joint modeling of multiple activity-travel dimensions. In addition, the results highlight the value of using psycho-social latent constructs, both in terms of improved data fit as well as proactive strategies to design equitable, safe, and community-driven AV systems.
About the Presenter:
Dr. Chandra R. Bhat is an expert in the area of transportation and urban policy design, with far reaching implications for public health, energy dependence, greenhouse gas emissions, and societal quality of life. Methodologically, he has been a pioneer in the formulation and use of statistical and econometric methods to analyze human choice behavior. His current research includes the social and environmental aspects of transportation, planning implications of connected and automated smart transportation systems (CASTS), e-commerce and information and communication technology (ICT) impacts on the activity and mobility behaviors of consumer and upstream supply chain providers, and data science and predictive analytics. He is a recipient of many awards, including the 2017 Council of University Transportation Center (CUTC) Lifetime Achievement Award in Transportation Research and Education, the 2015 American Association of Civil Engineering’s (ASCE’s) Frank Masters Award, and the 2013 German Humboldt Award. He was listed in 2017 as one of the top ten transportation thought leaders in academia by the Eno Foundation. He is a top-cited transportation engineering researcher. He currently serves as the Editor-in-Chief of Transportation Research – Part B.