Volume 39 Issue 3
Jun.  2021
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Article Navigation >  Journal of Transport Information and Safety  > 2021  >  39(3): 136-141, 151
XU Jiahong, ZHOU Jibiao, MA Changxi, WAN Yan, SHEN Ying. An Evaluation Method for Bicycle Sharing Satisfaction Based on a Bivariate Ordered Probit Model[J]. Journal of Transport Information and Safety, 2021, 39(3): 136-141, 151. doi: 10.3963/j.jssn.1674-4861.2021.03.017
Citation: XU Jiahong, ZHOU Jibiao, MA Changxi, WAN Yan, SHEN Ying. An Evaluation Method for Bicycle Sharing Satisfaction Based on a Bivariate Ordered Probit Model[J]. Journal of Transport Information and Safety, 2021, 39(3): 136-141, 151. doi: 10.3963/j.jssn.1674-4861.2021.03.017
shu

An Evaluation Method for Bicycle Sharing Satisfaction Based on a Bivariate Ordered Probit Model

doi: 10.3963/j.jssn.1674-4861.2021.03.017
  • 1.

    School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo 315211, Zhejiang, China

  • 2.

    School of Transportation Engineering, Tongji University, Shanghai 201804, China

  • 3.

    School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China

  • Received Date: 2021-02-24
    Abstract
  • As an integral part of the urban green transportation system, bicycle sharing is an important way to serve the public for short-distance travel and public transport interchange, playing an active role in solving the"last mile"of urban transportation.A valid sample of 1 212 bicycle-sharing users in Ningbo is collected using questionnaires and field surveys to assess the satisfaction of bicycle-sharing services.Also, a bivariate-ordered-probit(BOP)model is constructed using statistical methods to analyze the factors influencing bicycle sharing satisfaction and calculate the marginal effects of significant influencing factors.The BOP model is used to quantify the utility of the factors influencing bicycle sharing satisfaction and usage.The results show that it can quantify the factors influencing the frequency and satisfaction of bicycle sharing.Gender, age, education, household ownership, usual travel mode, and trip distance are statistically significant factors influencing satisfaction with bicycle sharing services in the city.From user needs and service perceptions, the main problems of the existing service and the aspects that need to be optimized are understood to improve the quality of bike-sharing service and users'travel experience.

     

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