JavaScript is disabled for your browser. Some features of this site may not work without it.
Active Transportation and Community Health Impacts of Automated Vehicle Scenarios: An Integration of the San Francisco Bay Area Activity Based Travel Demand Model and the Integrated Transport and Health Impacts Model (ITHIM)

Author
Jaller, Miguel
Abstract
This project evaluated the potential human health impacts from connected and autonomous vehicles (CAVs) scenarios in the San Francisco Bay Area. The study concentrates on impacts derived from AVs’ effects on travel demand, safety, and environmental emissions. The study combined an extensive literature review about the extent of such effects, expert judgement, and results from activity-based travel modeling, to quantify the human health impacts of CAVs using the Integrated Transport and Health Impacts Model (ITHIM). Specifically, ITHIM estimates the impacts considering changes in travel demand (e.g., vehicle miles traveled) and levels of physical activity. The results show
significant opportunities for road traffic injury reductions, as well as mitigation of environmental emissions. However, reduced physical activity from the mode shift to passenger vehicles (from active travel) could increase the cases of human health issues (e.g. diabetes and lung cancer). Moreover, the authors explored a set of scenarios that could mitigate some of the health-related disbenefits from CAVs.
Description
Project Description
Sponsorship
U.S. Department of Transportation 69A3551747119
Date Issued
2020-03-31Rights
Attribution 4.0 International
Rights URI
Type
fact sheet
Accessibility Feature
alternative text; captions; reading order; tagged PDF
Accessibility Hazard
unknown
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution 4.0 International