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The impact of Covid-19 on bike-sharing travel pattern and flow structure

Evidence from Wuhan

Bibliographic Data

ID12913773
AuthorsQiumeng Li (0000-0002-1872-036X, University of Cambridge, corresponding author), Weipan Xu (0000-0002-2182-9382, Sun Yat-sen University)
Year2022
Volume15
Issue3
Pages477-494
Publication date2022-03-11
Open AccessYes
TypeARTICLE
VenueCambridge Journal of Regions Economy and Society (JOURNAL)
Journal identifiersISSN: 1752-1386 • E-ISSN: 1752-1378
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/cjres/rsac005
OpenAlexW4225759391
LanguageEN
Citations received6
References cited23

The COVID-19 pandemic has dramatically influenced urban mobility patterns. This paper explores the impact of the pandemic on the travel patterns and flow structure of bike-sharing, in Wuhan, China. We find that during the pandemic, bike-sharing became a major mode of transport and helped for the travel to hospitals. In post-pandemic Wuhan, more cycling neighbourhoods emerged in suburban areas, and the percentage of bike-sharing ridership in denser areas tends to decrease, especially in workplaces, indicating there is a decentralised trend of bike-sharing flow structure. These findings imply that bike-sharing plays a significant role in promoting urban resilience, and are helpful to build bike-friendly cities and communities in the post-pandemic era

2019-20 coronavirus outbreak · Bike sharing · Business · China · Coronavirus disease 2019 (COVID-19 · Economic geography · Geography · Outbreak · Pandemic · Psychological resilience · Resilience (materials science · Transport engineering · Engineering · Medicine · Psychology · Recreation, Leisure, Wilderness Management · Urban and Freight Transport Logistics · Urban Transport and Accessibility

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    Open Access•Yan Jiang, Jiang Yan et al.•Applied Geography•2025

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    Open Access•Liye Zhang, Zhongzheng Li et al.•Sustainable Cities and Society•2024

  • How do app users select a free-floating bicycle? A stated preference survey investigating choice behaviour using generated screenshots

    Open Access•Ziang Yao, Jonas Fahlbusch et al.•Transportation•2025

  • Resilience and adaptability

    Open Access•Xiaozheng Sun, Xu Cui•Cities•2025

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    Open Access•Yang Xu, Dachi Chen et al.•Computers Environment and Urban…•2019

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    Open Access•Ezgi Eren, Volkan Emre Uz•Sustainable Cities and Society•2020

  • Understanding the usage of dockless bike sharing in Singapore

    Yu Shen, Zhang Xiaohu et al.•International Journal of…•2018

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  • A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile

    Open Access•Yuanxuan Yang, Alison Heppenstall et al.•Computers Environment and Urban…•2019

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  • Life Between Buildings

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  • Examining spatiotemporal changing patterns of bike-sharing usage during Covid-19 pandemic

    Open Access•Songhua Hu, Chenfeng Xiong et al.•Journal of Transport Geography•2021

  • Biking islands in cities

    Open Access•Yongping Zhang, Diao Lin et al.•Journal of Transport Geography•2019

Citations per year1.5
Citation span2022 - 2025 (4)
Highly citedNo

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