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The Factors Influencing Resident’s Intentions on E-Bike Sharing Usage in China

Author

Listed:
  • Ruiwei Li

    (Department of Urban and Regional Planning, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • Gobi Krishna Sinniah

    (Department of Urban and Regional Planning, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • Xiangyu Li

    (Department of Urban and Regional Planning, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

Abstract

E-bike sharing is considered a new mode of transport that is rapidly developing in China. In order to better understand the factors affecting the intention to use e-bike sharing, this study is based on the theory of planned behavior (TPB) and the technology acceptance model (TAM) and added the variable of policy support. A sample of 441 respondents in a small city in China was collected to analyze residents’ intention on e-bike sharing usage. The results show that the research model can explain well residents’ intention to use shared e-bikes. Perceived ease of use, perceived usefulness, attitude, subjective norms, and perceived behavioral control have direct positive effects on the intention to use shared e-bikes. Among them, the perceived ease of use has the greatest impact on the intention to use shared e-bikes. Moreover, policy support has an indirect positive influence on the intention to use shared e-bikes through partial mediation of attitude and subjective norms. Finally, some strategies to promote e-bike sharing are proposed. This study can provide a better understanding of the acceptance of e-bike sharing and the strategy for promoting e-bike sharing in urban transportation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5013-:d:799352
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    References listed on IDEAS

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    1. Ke Zhang & Hao Sun & Xiangyu Li, 2022. "Aging Population Spatial Distribution Discrepancy and Impacting Factor," Sustainability, MDPI, vol. 14(15), pages 1-22, August.

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