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Public transportation competitiveness analysis based on current passenger loyalty

Author

Listed:
  • Li, Linbo
  • Bai, Yufang
  • Song, Ziqi
  • Chen, Anthony
  • Wu, Bing
Abstract
The primary goal of this study is to identify those factors that influence public transportation (PT) competitiveness through an analysis of current passenger loyalty. To accomplish this goal, a structural equation model (SEM) is introduced to construct the theoretical model. A comprehensive set of hypotheses is tested to explore the relationships between service quality, passenger satisfaction, switching costs, attraction of alternatives, and passenger loyalty. This study uses the Shanghai PT in China as the case study to apply the theoretical model. The results reveal that PT service quality is the most important factor that influences a passenger’s willingness to remain loyal. In addition, both switching costs and the attractiveness of cars are significantly related to passenger loyalty. Furthermore, this study proposes some critical suggestions as to how to improve the competitiveness of the Shanghai PT in its ongoing development. Decision makers assisting in the formation of PT policies and strategies will find this information useful.

Suggested Citation

  • Li, Linbo & Bai, Yufang & Song, Ziqi & Chen, Anthony & Wu, Bing, 2018. "Public transportation competitiveness analysis based on current passenger loyalty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 213-226.
    • Handle: RePEc:eee:transa:v:113:y:2018:i:c:p:213-226
    DOI: 10.1016/j.tra.2018.04.016
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    References listed on IDEAS

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    Cited by:

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    2. Juan de Oña, 2022. "Service quality, satisfaction and behavioral intentions towards public transport from the point of view of private vehicle users," Transportation, Springer, vol. 49(1), pages 237-269, February.
    3. Antwi, Collins Opoku & Fan, Chong-jun & Nataliia, Ihnatushchenko & Aboagye, Michael Osei & Xu, Hangyu & Azamela, John Coffie, 2020. "Do airport staff helpfulness and communication generate behavioral loyalty in transfer passengers? A conditional mediation analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    4. Esmailpour, Javad & Aghabayk, Kayvan & Abrari Vajari, Mohammad & De Gruyter, Chris, 2020. "Importance – Performance Analysis (IPA) of bus service attributes: A case study in a developing country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 129-150.
    5. de Oña, Juan, 2021. "Understanding the mediator role of satisfaction in public transport: A cross-country analysis," Transport Policy, Elsevier, vol. 100(C), pages 129-149.
    6. Esmailpour, Javad & Aghabayk, Kayvan & Aghajanzadeh, Mohammad & De Gruyter, Chris, 2022. "Has COVID-19 changed our loyalty towards public transport? Understanding the moderating role of the pandemic in the relationship between service quality, customer satisfaction and loyalty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 80-103.
    7. Tri Basuki Joewono & Ariel Matthew & Muhamad Rizki, 2021. "Loyalty of Paratransit Users in the Era of Competition with Ride Sourcing," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    8. Mandhani, Jyoti & Nayak, Jogendra Kumar & Parida, Manoranjan, 2020. "Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 320-336.
    9. de Oña, Juan, 2020. "The role of involvement with public transport in the relationship between service quality, satisfaction and behavioral intentions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 296-318.
    10. Eldeeb, Gamal & Mohamed, Moataz, 2022. "Consumers oriented investments in transit service quality improvements: The best bang for your buck," Research in Transportation Economics, Elsevier, vol. 94(C).
    11. Sun, Shichao & Zhang, Hui & Zhou, Linlin & Wang, Ke, 2023. "Is the relationship between the perceived service quality and passenger loyalty linear or non-linear? A novel model-independent interpretation method is applied," Transport Policy, Elsevier, vol. 144(C), pages 65-79.
    12. Eldeeb, Gamal & Mohamed, Moataz, 2020. "Quantifying preference heterogeneity in transit service desired quality using a latent class choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 119-133.

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