Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore
By Yu Shen, Hongmou Zhang, Jinhuan Zhao. Transportation Research Part A: Policy and Practice, 2018
321 citations recorded by the source corpus.
Abstract This paper proposes and simulates an integrated autonomous vehicle (AV) and public transportation (PT) system. After discussing the attributes of and the interaction among the prospective stakeholders in the system, we identify opportunities for synergy between AVs and the PT system based on Singapore’s organizational structure and demand characteristics. Envisioning an integrated system in the context of the first-mile problem during morning peak hours, we propose to preserve high demand bus routes while repurposing low-demand bus routes and using shared AVs as an alternative. An agent-based supply-side simulation is built to assess the performance of the proposed service in fifty-two scenarios with different fleet sizes and ridesharing preferences. Under a set of assumptions on AV operation costs and dispatching algorithms, the results show that the integrated system has the potential of enhancing service quality, occupying fewer road resources, being financially sustainable, and utilizing bus services more efficiently.
Subfields: Automotive Engineering, Building and Construction, Transportation
View Paper: https://www.semanticscholar.org/paper/b9dbe49bdbba9c50897d3ec0706f329f9fac7d5e
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Citations in the corpus
- Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China (2019, methodology): “Existing research on AV mainly focuses on macro-level analysis, including policy issues [7,16], legislative supervision [17], SAV dispatch optimization [5,18,19] and the impact on traditional transportation system [5,20,21].”
- Mobility-on-demand versus fixed-route transit systems: An evaluation of traveler preferences in low-income communities (2019, background): “…services, with large-volume mass transit (trains and buses) efficiently servicing high-demand corridors while on-demand ridesourcing services covering low-density areas and filling first-and last-mile service gaps (Mah ´ eo et al., 2017; Stiglic et al., 2018; Yan et al., 2019; Shen et al., 2018).”