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 the largest MPOs in the US indicates only one of them "even mentions driverless, automated, or autonomous vehicles in its most recent RTP". 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.
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 webinar is based on a study funded by the National Institute for Transportation and Communities (NITC) and conducted at Portland State University and the University of Arizona. Read more about the research: Land Use and Transportation Policies for a Sustainable Future with Autonomous Vehicles: Scenario Analysis with Simulations.
Liming Wang is an assistant professor in PSU's Toulan School of Urban Studies & Planning. He teaches courses in Travel Demand Modeling, Transportation and Land Use, and Data Analysis Methods. His research takes a data-driven approach to address challenging issues in planning, in particular those intersecting land use and transportation. His recent research projects include data integration techniques for transportation and land use modeling, development and evaluation of comprehensive performance measures for transportation and land use systems, and regional strategic planning tools.
This 60-minute webinar is eligible for 1 hour of professional development credit for AICP (see our provider summary). We provide an electronic attendance certificate for other types of certification maintenance.
Photo by Михаил Руденко
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This webinar is hosted by the Transportation Research and Education Center (TREC) at Portland State University. The research was funded by the National Institute for Transportation and Communities (NITC), a program of TREC and one of five U.S. Department of Transportation national university transportation centers. The NITC program is a Portland State-led partnership with the University of Oregon, Oregon Institute of Technology, University of Utah and new partners University of Arizona and University of Texas at Arlington. We pursue our theme — improving mobility of people and goods to build strong communities — through research, education and technology transfer.