Analysis of spatial interactions among shared e-scooters, shared bikes, and public transit

IF 2.8 3区 工程技术 Q3 TRANSPORTATION Journal of Intelligent Transportation Systems Pub Date : 2024-07-03 DOI:10.1080/15472450.2023.2174803
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Abstract

Shared bikes, shared e-scooters, and public transit make up most public transportation modes in big cities. Their combination can provide a convenient, efficient, and flexible multi-modal transportation service. Despite the obvious similarity among them, differences exist in the roles that they play in a multi-modal transportation system. A case study in the City of Austin, where shared bikes, shared e-scooters, and public transit coexist, is used to explore their unique characteristics and how they spatially complement or compete with each other. The results show that public transit has more pronounced characteristics related to commuting than shared micromobility modes do, and that shared bikes are more likely to be used for commuting compared to shared e-scooters. Interestingly, the results suggest that there is spatial segregation between where shared bikes complement public transit and shared e-scooters complement public transit, i.e., only one shared mode complements public transit at a given area.

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共享电动滑板车、共享自行车和公共交通之间的空间互动分析
共享单车、共享电动滑板车和公共交通构成了大城市的大部分公共交通模式。它们的组合可以提供便捷、高效、灵活的多模式交通服务。尽管它们之间有明显的相似性,但在多模式交通系统中发挥的作用却存在差异。在奥斯汀市,共享单车、共享电动滑板车和公共交通共存,本研究通过一个案例来探讨它们的独特性以及它们在空间上是如何互补或竞争的。结果表明,与共享微型交通模式相比,公共交通在通勤方面具有更明显的特征,而与共享电动滑板车相比,共享自行车更有可能用于通勤。有趣的是,结果表明,共享单车与公共交通互补的地方和共享电动滑板车与公共交通互补的地方之间存在空间隔离,即在特定区域只有一种共享模式与公共交通互补。
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来源期刊
CiteScore
8.80
自引率
19.40%
发文量
51
审稿时长
15 months
期刊介绍: The Journal of Intelligent Transportation Systems is devoted to scholarly research on the development, planning, management, operation and evaluation of intelligent transportation systems. Intelligent transportation systems are innovative solutions that address contemporary transportation problems. They are characterized by information, dynamic feedback and automation that allow people and goods to move efficiently. They encompass the full scope of information technologies used in transportation, including control, computation and communication, as well as the algorithms, databases, models and human interfaces. The emergence of these technologies as a new pathway for transportation is relatively new. The Journal of Intelligent Transportation Systems is especially interested in research that leads to improved planning and operation of the transportation system through the application of new technologies. The journal is particularly interested in research that adds to the scientific understanding of the impacts that intelligent transportation systems can have on accessibility, congestion, pollution, safety, security, noise, and energy and resource consumption. The journal is inter-disciplinary, and accepts work from fields of engineering, economics, planning, policy, business and management, as well as any other disciplines that contribute to the scientific understanding of intelligent transportation systems. The journal is also multi-modal, and accepts work on intelligent transportation for all forms of ground, air and water transportation. Example topics include the role of information systems in transportation, traffic flow and control, vehicle control, routing and scheduling, traveler response to dynamic information, planning for ITS innovations, evaluations of ITS field operational tests, ITS deployment experiences, automated highway systems, vehicle control systems, diffusion of ITS, and tools/software for analysis of ITS.
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