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Urban public transport choice behavior analysis and service improvement policy-making: a case study from the metropolitan city, Chengdu, China

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  • Fei Yang
  • Lin Chen
  • Yang Cheng
  • Zhenxing Yao
  • Xu Zhang

Abstract

As the metropolitan city in Western China, Chengdu has been suffered from serious traffic congestion. The strategy of urban public transport priority was put into agenda to relieve traffic congestion. But the public transport sharing rate is only 27% in Chengdu which is much lower than the developed country. Consequently, it is of great importance to study the measures to improve the service, and provide technical support to the policy-makers. This paper selected the traffic corridor between Southwest Jiaotong University district and downtown as the experiment subject. The orthogonal design was used to generate stated preference questionnaires in order to achieve the reliable parameter estimates. Some variables were used to define the utility of the three alternatives and construct the Logit model. Then, the relationships between the cost, time variable and the choice probability of the public transport were analyzed. According to the results, we found that the orthogonal design does improve the goodness-of-fit. The workability of Multinomial Logit Model was better than Nest Logit model. We also put forward some effective measures to improve the service level of public transit, including reducing the access time to Metro, limiting parking supply to control the car use.

Suggested Citation

  • Fei Yang & Lin Chen & Yang Cheng & Zhenxing Yao & Xu Zhang, 2015. "Urban public transport choice behavior analysis and service improvement policy-making: a case study from the metropolitan city, Chengdu, China," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(4), pages 806-816, April.
    • Handle: RePEc:taf:japsta:v:42:y:2015:i:4:p:806-816
    DOI: 10.1080/02664763.2014.986438
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    References listed on IDEAS

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    1. Laura Eboli & Gabriella Mazzulla, 2008. "A Stated Preference Experiment for Measuring Service Quality in Public Transport," Transportation Planning and Technology, Taylor & Francis Journals, vol. 31(5), pages 509-523, February.
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    4. Burris, Mark W. & Pendyala, Ram M., 2002. "Discrete choice models of traveler participation in differential time of day pricing programs," Transport Policy, Elsevier, vol. 9(3), pages 241-251, July.
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    Cited by:

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    2. Zhilong Chen & Lichang Su & Cheng Zhang, 2016. "Research on the Synergy Degree of Aboveground and Underground Space along Urban Rail Transit from the Perspective of Urban Sustainable Development," Sustainability, MDPI, vol. 8(9), pages 1-22, September.

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