Land Use and Transportation Policies for a Sustainable Future with Autonomous Vehicles: Scenario Analysis with Simulations

Liming Wang, Portland State University

Co-investigator:

  • Yao-Jan Wu, University of Arizona

Summary:

Even though there are tremendous uncertainties in the timing and evolution path of the Autonomous Vehicles (AV) technology, it may become a likely reality within most MPOs' long-range regional transportation plan horizon of twenty years. Yet a recent survey of largest MPOs in the US indicates only one of them "even mentions driverless, automated, or autonomous vehicles in its most recent RTP" (Guerra, 2016 page 211). One of the uncertainties in assessing the impacts of AV is their direction: on one hand, self-driving cars could increase VMT by increasing roadway capacity, lowering costs of travel; on the other, they may reduce VMT by enabling more car-sharing, improving access to transit, eliminating the fixed costs of car ownership, and reclaiming parking space. To date, there is no suitable conceptual framework or modeling tools available to MPOs for quantitatively assessing the likely long-term effects of AV or potential policy scenarios.

Built on a phase I research project funded by NITC studying emerging transportation modes including AV, this proposal will investigate long-term travel and land use outcomes in response to various policy and technology scenarios by simulations with an aim of identifying policy scenarios that help promote sustainable and equitable future patterns of travel and land use. The products of the project include working papers and conference presentations of the methodology and outcomes of the scenario simulations, as well as an open source software tool that will be made available to researchers and practitioners to create and run simulations of their own scenarios.

This project touches upon three of NITC's sub-themes for the goal of improving the mobility of people and goods to build strong communities. In particular, it helps advance innovations and smart cities and develops data, models, and tools for assessing the likely impacts of AV with the goal of identifying policies that shape the evolution of the AV technology and builds sustainable and equitable communities.

Impacts:

This project studies the possible impacts on travel and land use of the emerging AV technology and focuses on advancing this innovative mobility option by making sure it serves the greater good of building sustainable and equitable communities in its adoption. It also contributes to smart cities research by examining the likely social, economic, and environmental outcomes of integrating AV in our cities and by starting to consider policies and plans to preempt their potential adverse impacts and to ensure that the AV technology improves access for all people.

This project develops data, models, and tools to support better data and tools for decision-making. MPOs throughout the US are ill prepared for taking account of AV and thinking about policy and planning responses in their long-range planning process even though AV may become a reality within MPO’s planning horizon. This project helps bolster their capacity by developing new models and tools that can be used to assess the likely effects of AV and for scenario analysis of various policies and plans.

Project Details

Project Type:
Research
Project Status:
In Progress
End Date:
November 14,2019
UTC Grant Cycle:
NITC 16 Round 2
UTC Funding:
$136,563

Other Products

  • Gehrke, Steven and Liming Wang, 2019. Operationalizing the Neighborhood Effects of the Built Environment on Travel Behavior, Journal of Transport Geography, accepted. (PUBLICATION)