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A Bus Service Evaluation Method from Passenger’s Perspective Based on Satisfaction Surveys: A Case Study of Beijing, China

Author

Listed:
  • Jiancheng Weng

    (Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China)

  • Xiaojian Di

    (Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China)

  • Chang Wang

    (China Aerospace Science & Industry Corp., Beijing 100000, China)

  • Jingjing Wang

    (Beijing Municipal Commission of Transport, Beijing Municipal Transportation Operations Coordination Center, Beijing 100000, China)

  • Lizeng Mao

    (Beijing Municipal Commission of Transport, Beijing Municipal Transportation Operations Coordination Center, Beijing 100000, China)

Abstract

As an important part of urban public transport, bus service quality is an important factor affecting the choice of passenger travel mode. This paper constructs a set of satisfaction evaluation indicator systems from the perspective of passenger perception, covering the whole travel process. It is composed of 6 first-level indexes (timeliness, safety, convenience, comfort, reliability and economy) and 21 second-level indexes. Considering the scale of bus service in Beijing, this research carried out a stratified sampling on 100 bus lines and collected 3012 field questionnaire surveys. The basic information of the bus routes investigated, demographic questions and their opinions of the satisfaction of the bus service were all recorded in the questionnaire. After testing the reliability and validity of the indicator system, the paper proposes a satisfaction evaluation model weighted by the related coefficient. The results show that overall satisfaction score is 78.2 and the proportion of bus passengers who are satisfied with the bus service nearly 70%. Multivariate analysis of variance methods were employed to evaluate the satisfaction influencing factors. Conclusions can be drawn that the satisfaction score of timeliness is lowest, which is mainly influenced by three factors: the passenger’s age, travel purpose and time. The research provides positive contributions toward normalizing performance evaluation for public transportation and enhancing the sustainable development of bus.

Suggested Citation

  • Jiancheng Weng & Xiaojian Di & Chang Wang & Jingjing Wang & Lizeng Mao, 2018. "A Bus Service Evaluation Method from Passenger’s Perspective Based on Satisfaction Surveys: A Case Study of Beijing, China," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2723-:d:161604
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    References listed on IDEAS

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    1. Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella, 2018. "Spatial variation of the perceived transit service quality at rail stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 67-83.
    2. Celik, Erkan & Bilisik, Ozge Nalan & Erdogan, Melike & Gumus, Alev Taskin & Baracli, Hayri, 2013. "An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 28-51.
    3. Shreya Das & Debapratim Pandit, 2016. "Methodology to determine service delivery levels for public transportation," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(2), pages 195-217, March.
    4. de Oña, Juan & de Oña, Rocío & Eboli, Laura & Mazzulla, Gabriella, 2013. "Perceived service quality in bus transit service: A structural equation approach," Transport Policy, Elsevier, vol. 29(C), pages 219-226.
    5. Verbich, David & El-Geneidy, Ahmed, 2016. "The pursuit of satisfaction: Variation in satisfaction with bus transit service among riders with encumbrances and riders with disabilities using a large-scale survey from London, UK," Transport Policy, Elsevier, vol. 47(C), pages 64-71.
    6. de Oña, Juan & de Oña, Rocío & Eboli, Laura & Mazzulla, Gabriella, 2016. "Index numbers for monitoring transit service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 18-30.
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    Cited by:

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    2. Thi Quynh Mai Pham & Gunwoo Lee & Hwayoung Kim, 2020. "Toward Sustainable Ferry Routes in Korea: Analysis of Operational Efficiency Considering Passenger Mobility Burdens," Sustainability, MDPI, vol. 12(21), pages 1-22, October.
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    5. Muhammad Fadhlullah Abu Bakar & Shuhairy Norhisham & Herda Yati Katman & Chow Ming Fai & Nor Najwa Irina Mohd Azlan & Nur Sarah Shaziah Samsudin, 2022. "Service Quality of Bus Performance in Asia: A Systematic Literature Review and Conceptual Framework," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    6. Xu-Hui Li & Lin Huang & Qiang Li & Hu-Chen Liu, 2020. "Passenger Satisfaction Evaluation of Public Transportation Using Pythagorean Fuzzy MULTIMOORA Method under Large Group Environment," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    7. Liu, Jiaguo & Zhao, Huida & Li, Jian & Yue, Xiaohang, 2021. "Operational strategy of customized bus considering customers’ variety seeking behavior and service level," International Journal of Production Economics, Elsevier, vol. 231(C).
    8. Weng, JianCheng & Yu, JiangBo & Di, XiaoJian & Lin, PengFei & Wang, Jing-Jing & Mao, Li-Zeng, 2023. "How does the state of bus operations influence passengers’ service satisfaction? A method considering the differences in passenger preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).

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