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Exploring Intention to Use Shared Electric Bicycles by the Extended Theory of Planned Behavior

Author

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  • Jun Li

    (School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510000, China)

  • Jiachao Shen

    (School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510000, China)

  • Bicen Jia

    (School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510000, China)

Abstract

In China, shared electric bicycles are developing rapidly, and are widely used by residents. Understanding the factors that affect residents’ intention to use shared electric bicycles is important for implementing a policy of developing sustainable transportation. A sample of 751 respondents has been collected in a small-sized Chinese city to analyze residents’ intention to use shared electric bicycles, using an extended theory of planned behavior model. The findings reveal that the research model can well explain residents’ intention to use shared electric bicycles. Attitude, subjective norm, and perceived behavioral control have direct positive effects on the intention to use shared electric bicycles. Among them, the subjective norm has the greatest impact on the intention to use shared electric bicycles. Environmental concern and policy support have indirect positive effects on the intention to use shared electric bicycles through the partial mediation of attitude and subjective norm. Based on the above analysis, some measures are proposed to guide the development of shared electric bicycles.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4137-:d:531992
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    References listed on IDEAS

    as
    1. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Shaheen, Susan & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future," Institute of Transportation Studies, Working Paper Series qt79v822k5, Institute of Transportation Studies, UC Davis.
    4. Cherry, Christopher & Cervero, Robert, 2007. "Use characteristics and mode choice behavior of electric bike users in China," Transport Policy, Elsevier, vol. 14(3), pages 247-257, May.
    5. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    6. Wojciech Sałabun & Krzysztof Palczewski & Jarosław Wątróbski, 2019. "Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    7. Weinert, Jonathan X. & Ogden, Joan M. & Sperling, Dan & Burke, Andy, 2008. "The future of electric two-wheelers and electric vehicles in China," Institute of Transportation Studies, Working Paper Series qt0d05f8v9, Institute of Transportation Studies, UC Davis.
    8. Weinert, Jonathan & Ogden, Joan & Sperling, Dan & Burke, Andrew, 2008. "The future of electric two-wheelers and electric vehicles in China," Energy Policy, Elsevier, vol. 36(7), pages 2544-2555, July.
    9. Ziwen Ling & Christopher R. Cherry & John H. MacArthur & Jonathan X. Weinert, 2017. "Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
    10. Elliot Fishman & Christopher Cherry, 2016. "E-bikes in the Mainstream: Reviewing a Decade of Research," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 72-91, January.
    11. 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.
    12. Jonathan Weinert & Chaktan Ma & Christopher Cherry, 2007. "The transition to electric bikes in China: history and key reasons for rapid growth," Transportation, Springer, vol. 34(3), pages 301-318, May.
    13. Shaheen, Susan A & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present and Future," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6qg8q6ft, Institute of Transportation Studies, UC Berkeley.
    14. Kaplan, Sigal & Manca, Francesco & Nielsen, Thomas Alexander Sick & Prato, Carlo Giacomo, 2015. "Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior," Tourism Management, Elsevier, vol. 47(C), pages 34-46.
    15. Shuhong Ma & Yechao Zhou & Zhoulin Yu & Yan Zhang, 2019. "College Students’ Shared Bicycle Use Behavior Based on the NL Model and Factor Analysis," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    16. Wang, Shanyong & Li, Jun & Zhao, Dingtao, 2017. "The impact of policy measures on consumer intention to adopt electric vehicles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 14-26.
    17. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    18. Chen, Shang-Yu, 2016. "Using the sustainable modified TAM and TPB to analyze the effects of perceived green value on loyalty to a public bike system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 58-72.
    19. Shaheen, Susan PhD & Martin, Elliot PhD & Cohen, Adam, 2013. "Public Bikesharing and Modal Shift Behavior: A Comparative Study of Early Bikesharing Systems in North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7010k9p3, Institute of Transportation Studies, UC Berkeley.
    20. 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.
    21. Dandan Xu & Yang Bian & Jian Rong & Jiachuan Wang & Baocai Yin, 2019. "Study on Clustering of Free-Floating Bike-Sharing Parking Time Series in Beijing Subway Stations," Sustainability, MDPI, vol. 11(19), pages 1-20, September.
    22. Schuitema, Geertje & Anable, Jillian & Skippon, Stephen & Kinnear, Neale, 2013. "The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 39-49.
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    1. Sungwon Lee & Devon Farmer & Jooyoung Kim & Hyun Kim, 2022. "Shared Autonomous Vehicles Competing with Shared Electric Bicycles: A Stated-Preference Analysis," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    2. Nenad Djokic & Nikola Milicevic & Branimir Kalas & Ines Djokic & Vera Mirovic, 2023. "E-Bicycle as a Green and Physically Active Mode of Transport from the Aspect of Students: TPB and Financial Incentives," IJERPH, MDPI, vol. 20(3), pages 1-11, January.
    3. Ruiwei Li & Gobi Krishna Sinniah & Xiangyu Li, 2022. "The Factors Influencing Resident’s Intentions on E-Bike Sharing Usage in China," Sustainability, MDPI, vol. 14(9), pages 1-15, April.

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