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The Research of Tripartite Collaborative Governance on Disorderly Parking of Shared Bicycles Based on the Theory of Planned Behavior and Motivation Theories—A Case of Beijing, China

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  • Daozhi Zhao

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

  • Di Wang

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

Abstract

With the maturity of mobile payments and internet technology, a new type of travel mode, shared bicycles, was brought out by China’s urban transport under the impetus of “the last mile” travel demand. Although convenient travel has been achieved by using shared bicycles, the resulting problems such as disorderly parking and the deposition of bicycles could severely influence urban traffic order and impede the sustainable development of shared bicycles. Based on the quasi-public goods property of shared bicycles, this article established a management system for the tripartite collaborative governance of disorderly bicycle parking by virtue of regulating the bicycle parking behavior of users, the promoting of multiple propaganda and macro-institutional controls of the government, and acquiring technique support of enterprise “entry settlement”. Furthermore, considering the influence on the governance effect of user conduct, a structural model for guiding users to regulate bicycle parking to guarantee the governance effect by adopting material incentive and spiritual motivation was established via the utilization of the theory of planned behavior and motivation theories, and multiple hypotheses were also proposed. In this article, users of shared bikes in Beijing, China were selected as the research objects, and a questionnaire survey was adopted as the empirical research method. In addition, the governance validity on disorderly parking of the collaborative governance model was tested via hierarchical regression analysis after the collection and analysis of the factors influencing bicycle parking behavior of users. The obtained results show that the tripartite collaborative governance model could enhance the regular parking consciousness of users and improve the governance effect of disorderly parking. The research conclusion of this article could provide feasible suggestions for the governance of bicycle disorderly parking and propel the sustainable development of shared bicycles.

Suggested Citation

  • Daozhi Zhao & Di Wang, 2019. "The Research of Tripartite Collaborative Governance on Disorderly Parking of Shared Bicycles Based on the Theory of Planned Behavior and Motivation Theories—A Case of Beijing, China," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5431-:d:272405
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    Cited by:

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    2. Su, Duan & Wang, Yacan & Yang, Nan & Wang, Xianghong, 2020. "Promoting considerate parking behavior in dockless bike-sharing: An experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 153-165.
    3. Wenya Cui & Guangnian Xiao, 2021. "Tripartite Dynamic Game among Government, Bike-Sharing Enterprises, and Consumers under the Influence of Seasons and Quota," Sustainability, MDPI, vol. 13(20), pages 1-24, October.
    4. Jun Cao & Jason Prior & Damien Giurco, 2022. "Government and Private Company Collaboration in the Governance of Shared Mobility Schemes: A Case Study of Dockless Bike-Sharing Schemes in Sydney, Australia," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    5. Ziyue Shan & Chenjing Zhou & Xiafei Song & Siyang Liu, 2022. "Influence Mechanism of Urban Staggered Shared Parking Policy on Behavioral Intentions of Users and Providers Based on Extended Planned Behavior Theory," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    6. Rui Zhao & Linchuan Yang & Xinrong Liang & Yuanyuan Guo & Yi Lu & Yixuan Zhang & Xinyun Ren, 2019. "Last-Mile Travel Mode Choice: Data-Mining Hybrid with Multiple Attribute Decision Making," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    7. Jun Cao & Jason Prior & Damien Giurco & Dasong Gu, 2023. "Power relations are central to shaping collaborative governance of the urban sharing economy," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-6, December.
    8. Jun Li & Jiachao Shen & Bicen Jia, 2021. "Exploring Intention to Use Shared Electric Bicycles by the Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 13(8), pages 1-13, April.

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