摘要: |
In the same way that the automobile disrupted horse and cart transportation in the 20th century, automated vehicles hold the potential to disrupt the current system of transportation and the fabric of the built environment. How automated vehicle systems are integrated into regional transportation systems could have significant negative and positive effects on congestion, vehicle miles traveled (VMT), active transportation, greenhouse gas emissions (GHGs), and community health. There is a critical need to understand both the system levels on vehicle travel, GHGs, and human health.
The project will provide critical understanding of and evidence for potential active travel, GHGs, and community health impacts of automated vehicles systems. Specifically, it will integrate the Integrated Transport and Health Impacts Model (ITHIM) with the automated vehicle scenario travel outputs from simulations with the San Francisco Bay Area regional travel demand model. The inter-disciplinary team will show the feasibility and importance of including health effects in the transportation planning process and give transportation planners insight they need to help guide the implementation of automated vehicles to help meet broader community goals, including greenhouse gas reduction. |