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The Spatial Effect of Shared Mobility on Urban Traffic Congestion: Evidence from Chinese Cities

Author

Listed:
  • Jiachen Li

    (The Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Mengqing Ma

    (The Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Xin Xia

    (The Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Wenhui Ren

    (The Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

Abstract

This paper explores the spatial spillover effect of shared mobility on urban traffic congestion by constructing spatial econometric models. Based on panel data of 94 Chinese cities from 2016 to 2019, this study analyses the spatial correlation of shared mobility enterprise layout and geographical correlation of urban transport infrastructure and examines their influence mechanism. From the perspective of geographic spatial distribution, congestion has positive spatial correlation among Chinese cities, and it has different directions and centripetal forces across regions. The shared mobility enterprises in a region have same direction distribution with traffic congestion, but the centripetal forces of the aggregation effect are different. The econometric results include the fact that bike-sharing has reduced congestion significantly, but the overall impact of car-sharing is not clear. Neither bike-sharing nor car-sharing can offset the traffic congestion caused by economic activities and income growth. From the perspective of spillover effects, congestion has been influenced by bike-sharing, economic development, population, and public passengers in surrounding areas. In terms of spatial heterogeneity, bike-sharing relieves congestion in the Pearl River Delta region while having no significant effect in other regions. Meanwhile, car-sharing has aggravated congestion in the Yangtze River Delta but eased traffic jams in the Pearl River Delta.

Suggested Citation

  • Jiachen Li & Mengqing Ma & Xin Xia & Wenhui Ren, 2021. "The Spatial Effect of Shared Mobility on Urban Traffic Congestion: Evidence from Chinese Cities," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:14065-:d:706770
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    References listed on IDEAS

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    1. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    2. Cláudia A. Soares Machado & Nicolas Patrick Marie De Salles Hue & Fernando Tobal Berssaneti & José Alberto Quintanilha, 2018. "An Overview of Shared Mobility," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    3. Deepti Muley & Md. Shahin & Charitha Dias & Muhammad Abdullah, 2020. "Role of Transport during Outbreak of Infectious Diseases: Evidence from the Past," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    4. Shaheen, Susan PhD & Chan, Nelson & Bansal, Apaar & Cohen, Adam, 2015. "Shared Mobility: A Sustainability & Technologies Workshop: Definitions, Industry Developments, and Early Understanding," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2f61q30s, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Lixuan Zhao & Dewei Fang & Yang Cao & Shan Sun & Liu Han & Yang Xue & Qian Zheng, 2023. "Impact-Asymmetric Analysis of Bike-Sharing Residents’ Satisfaction: A Case Study of Harbin, China," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    2. Xueting Zhao & Liwei Hu & Xingzhong Wang & Jiabao Wu, 2022. "Study on Identification and Prevention of Traffic Congestion Zones Considering Resilience-Vulnerability of Urban Transportation Systems," Sustainability, MDPI, vol. 14(24), pages 1-23, December.

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