The City-Wide Impacts of the Interactions between Shared Autonomous Vehicle-Based Mobility Services and the Public Transportation System

Sehyun Tak, Soomin Woo, Sungjin Park and Sunghoon Kim
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Sehyun Tak: The Korea Transport Institute, 370 Sicheong-daero, Sejong City 30147, Korea
Soomin Woo: Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA
Sungjin Park: Department of Urban Design and Planning, Hongik University, Seoul 04066, Korea
Sunghoon Kim: The Korea Transport Institute, 370 Sicheong-daero, Sejong City 30147, Korea

Sustainability, 2021, vol. 13, issue 12, 1-29

Abstract: When attempts are made to incorporate shared autonomous vehicles ( SAV s) into urban mobility services, public transportation ( PT ) systems are affected by the changes in mode share. In light of that, a simulation-based method is presented herein for analyzing the manner in which mode choices of local travelers change between PT and SAV s. The data used in this study were the modal split ratios measured based on trip generation in the major cities of South Korea. Subsequently, using the simulated results, a city-wide impact analysis method is proposed that can reflect the differences between the two mode types with different travel behaviors. As the supply–demand ratio of SAV s increased in type 1 cities, which rely heavily on PT , use of SAV s gradually increased, whereas use of PT and private vehicles decreased. Private vehicle numbers significantly reduced only when SAV s and PT systems were complementary. In type 2 cities, which rely relatively less on PT , use of SAV s gradually increased, and use of private vehicles decreased; however, no significant impact on PT was observed. Private vehicle numbers were observed to reduce when SAV s were operated, and the reduction was a minimum of thrice that in type 1 cities when SAV s and PT systems interacted. Our results can therefore aid in the development of strategies for future SAV – PT operations.

Keywords: public transportation; shared autonomous vehicles; local traveler choices; impact analysis; demand responsive transit (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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