Understanding the impacts of COVID-19 on bike-sharing travel behaviors: Insights from the literature and a case study in New York City, USA

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2024-11-15 Epub Date: 2024-09-19 DOI:10.1016/j.scs.2024.105818
Liye Zhang , Zhongzheng Li , Jie Song , Rui Zhu
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Abstract

The post-coronavirus era is a long-lasting challenge, but also a window of opportunities to strengthen the role of bike-sharing in molding a resilient transportation system. However, few studies have attempted to holistically review the recent literature in the last four years. This study aims to identify emerging topics regarding the impact of COVID-19 on bike-sharing by systematically critiquing research published between 2020 and 2023. The review was complemented by a case study in New York (USA) to address a research gap identified by the review. Scientometric analysis was applied to demonstrate research frontiers. We constructed and visualized network maps that depict information on the citations and terms of the documents that frequently appear in the title, keywords, and abstract of each reviewed document. Next, a clustering-based procedure was developed to infer and compare the major trip purposes in different pandemic periods for the case study. The results reveal that emerging topics include infection risks, active travel, and modal substitution that were less discussed before the pandemic. The results of the case study show that both residential and work trips had experienced significant growth before and after the outbreak, while residential trips saw a slightly higher increase in terms of the number of commuters. Additionally, residential trips can partly replace work trips in most Manhattan communities during the pandemic, implying that people may become more dependent on bike-sharing when working from home is prioritized. This research provides new perspectives on the pandemic’s impact on bike-sharing for researchers. Practitioners may use the tools to better understand how the pandemic may drive changes in travel behaviors and plan accordingly.
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了解 COVID-19 对共享单车出行行为的影响:从文献和美国纽约市案例研究中获得的启示
后冠状病毒时代是一个长期的挑战,但也是一个加强共享单车在塑造弹性交通系统中的作用的机会之窗。然而,在过去四年中,很少有研究试图全面回顾近期的文献。本研究旨在通过对 2020 年至 2023 年间发表的研究进行系统评述,确定有关 COVID-19 对共享单车影响的新课题。此外,还在纽约(美国)开展了一项案例研究,以弥补综述中发现的研究空白。科学计量分析被用于展示研究前沿。我们构建了网络图并将其可视化,描述了在每篇综述文献的标题、关键词和摘要中经常出现的文献引文和术语信息。接下来,我们开发了一种基于聚类的程序,以推断和比较案例研究中不同大流行时期的主要旅行目的。结果显示,新出现的话题包括感染风险、主动旅行和交通工具替代,而这些话题在大流行之前讨论较少。案例研究结果表明,疫情爆发前后,居住出行和工作出行都出现了显著增长,而居住出行的通勤人数增幅略高。此外,在大流行期间,大多数曼哈顿社区的居民出行可以部分取代工作出行,这意味着当人们优先考虑在家工作时,可能会更加依赖共享单车。这项研究为研究人员提供了关于大流行对共享单车影响的新视角。从业人员可以利用这些工具更好地了解大流行会如何促使出行行为发生变化,并制定相应的计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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