Scott Kelley presents "Spring 2017 Ann Arbor Intercept Travel Survey: Spatial Variation in Travel Behavior and Demand for Connected and Automated Vehicles"
Scott Kelley Lunch Seminar
Post-Doctoral Research Fellow, UMEI
“Spring 2017 Ann Arbor Intercept Travel Survey: Spatial Variation in Travel Behavior and Demand for Connected and Automated Vehicles”
Wednesday, July 19th, 2017
11:50 AM to 1:00 PM
FREE NYPD PIZZA served at 11:50 to the first 40 people, talk starts at 12:10
2301 Bonisteel Blvd, Room 2000A, Ann Arbor, MI 48109
RSVP's would be appreciated if you will attend; please contact Kelly Chantelois <email@example.com>
The future of transportation is a source of great uncertainty for cities and planning authorities, particularly with the growth of on-demand mobility services and the anticipated introduction of connected and automated vehicle (CAV) technology. Some analysts have proposed that the widespread use of CAVs accessed on a shared, as-needed basis, in contrast to those privately owned and operated, will reduce energy demand and greenhouse gas emissions from the transportation sector, while alleviating congestion and improving accessibility. Other analysts have constructed scenarios in which CAV systems could lead to large increases in vehicle travel and energy demand, exacerbating existing transportation problems while alleviating others. This makes the CAV ownership and operation model a key source of uncertainty when considering the impacts of these vehicles on future transportation systems. Given the prospective nature of these effects, this study explores the relationship between observed present-day travel behavior and stated CAV demand when people access popular destinations in Ann Arbor, Michigan. We specifically consider the spatial variation in stated demand for each general operational model. To obtain such data, an intercept travel survey was conducted in spring 2017. Respondents’ trip origins, approximate home locations, and stops after the survey site were stored in GIS. Next, we recorded their stated willingness to complete that trip through private or shared CAV travel if such technologies were developed and readily available. Results demonstrate that the use of transportation modes that approximate future shared CAV travel to reach survey site destinations is presently uncommon. However, we observed significant spatial variation in stated CAV demand for the different ownership models in the region. Other factors, including neighborhood and individual characteristics, have notable effects on observed travel and stated CAV demand. These results have implications for policy-makers interested in supporting the use of shared CAVs as part of future regional transportation plans.
Scott Kelley is a post-doctoral research fellow at the University of Michigan Energy Institute. Dr. Kelley’s research is focused on the application of spatial analysis and geographic information technologies to develop effective deployment techniques for emerging transportation technologies and supporting infrastructure at the city and regional scale. His has previously published work on refueling infrastructure decision locations for alternative fuel vehicles, and is currently exploring the spatial patterns in demand for connected and automated vehicles to help inform regional transportation policy. Dr. Kelley earned both his PhD and MA degrees in the School of Geographical Sciences and Urban Planning at Arizona State University, and a BS in Geography from the University of Wyoming.