Abstract
When attempts are made to incorporate shared autonomous vehicles (SAVs) 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 SAVs. 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 SAVs increased in type 1 cities, which rely heavily on PT, use of SAVs gradually increased, whereas use of PT and private vehicles decreased. Private vehicle numbers significantly reduced only when SAVs and PT systems were complementary. In type 2 cities, which rely relatively less on PT, use of SAVs gradually increased, and use of private vehicles decreased; however, no significant impact on PT was observed. Private vehicle numbers were observed to reduce when SAVs were operated, and the reduction was a minimum of thrice that in type 1 cities when SAVs and PT systems interacted. Our results can therefore aid in the development of strategies for future SAV–PT operations.
Highlights
IntroductionAutonomous vehicles (AVs) represent the core technology that will revolutionize urban mobility in the future
Accepted: 9 June 2021Autonomous vehicles (AVs) represent the core technology that will revolutionize urban mobility in the future
We aimed to analyze the impacts of shared autonomous vehicle (SAV) on public transportation (PT) systems in metropolitan areas
Summary
Autonomous vehicles (AVs) represent the core technology that will revolutionize urban mobility in the future. AVs are considered upgraded versions of conventional vehicles that have high levels of automation to assist or replace human drivers. If we treat AVs as upgraded versions of vehicle control, the benefits of deploying expensive technology will be marginal, in large urban road networks with high travel demands and limited space. Recent studies have focused on the potential for operating AVs as urban mobility services, such as demand-responsive transit (DRT) and shared vehicles [1]. When attempts are made to adopt AVs into shared and demand-responsive services, public transportation (PT) systems are affected, thereby creating changes in mode share AVs for urban mobility services using various approaches, such as survey reports [2,3], economy-based analyses [4,5], and simulation models [6,7,8].
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