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Modeling passengers’ loyalty to public transit in a two-dimensional framework: A case study in Xiamen, China

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  • Sun, Shichao
  • Duan, Zhengyu

Abstract

Sustaining and improving passengers’ loyalty has become an effective strategy for the development of bus priority. Passengers’ loyalty towards public transportation could be generally assessed in both attitudinal and behavioral levels. Thus, in this context, spuriously loyal passengers could be characterized by attaching a relatively low level of attitude to public transit users who have high behavioral patronage. Due to the lack of attitudinal preference, these passengers have the potential to turn to alternative transportation modes. Therefore, their loyalty should be better assessed, and targeted approaches should be provided to maintain the market share. This paper adopted a cross-classification framework to divide bus riders by considering different levels of loyalty in both attitudinal and behavioral dimensions. The framework led to four specific segments of passengers, and spurious-loyalty users were identified by using clustering analysis methods in a case study in Xiamen, China. Then, Structural Equation Modeling approach was employed, and hypotheses accounting for public transit loyalty were examined and analyzed in a baseline model. Moreover, key factors leading to spurious loyalty were identified, and index score of corresponding variables was calculated. Surprisingly, the results indicated that over half of users who highly adhered to public transit were not attitudinally loyal. However, although these passengers were dissatisfied with the current level of public transit service in specific regions as expected, their willingness of continuing-to-use public transit maintained at a high level. It implied that the cost of shifting to private motorization in Xiamen might still be high, so most spuriously loyal passengers had to continue choosing public transit in the near future. Nevertheless, the key to successfully sustain the long-term development of public transit should still focus on delivering passenger-value-oriented quality services. Therefore, with regards to the improvement of bus service to maintain the market share, targeted measures should be taken in terms of “crowdedness in the bus during peak hours”, “driving stability and comfort”, “bus speed”, “waiting time at stations” and “convenience of route transfers”.

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  • Sun, Shichao & Duan, Zhengyu, 2019. "Modeling passengers’ loyalty to public transit in a two-dimensional framework: A case study in Xiamen, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 295-309.
  • Handle: RePEc:eee:transa:v:124:y:2019:i:c:p:295-309
    DOI: 10.1016/j.tra.2019.04.007
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    as
    1. Fu, Xue-mei & Zhang, Jiang-hua & Chan, Felix T.S., 2018. "Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 476-490.
    2. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
    3. Teichert, Thorsten & Shehu, Edlira & von Wartburg, Iwan, 2008. "Customer segmentation revisited: The case of the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 227-242, January.
    4. Allen, Jaime & Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella & Ortúzar, Juan de Dios, 2019. "The role of critical incidents and involvement in transit satisfaction and loyalty," Transport Policy, Elsevier, vol. 75(C), pages 57-69.
    5. Kevin Krizek & Ahmed El-Geneidy & Kristin Thompson, 2007. "A detailed analysis of how an urban trail system affects cyclists’ travel," Transportation, Springer, vol. 34(5), pages 611-624, September.
    6. Rico Merkert & James Pearson, 2015. "A Non-parametric Efficiency Measure Incorporating Perceived Airline Service Levels and Profitability," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 261-275, April.
    7. Babin, Barry J & Darden, William R & Griffin, Mitch, 1994. "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 644-656, March.
    8. van Lierop, Dea & El-Geneidy, Ahmed, 2016. "Enjoying loyalty: The relationship between service quality, customer satisfaction, and behavioral intentions in public transit," Research in Transportation Economics, Elsevier, vol. 59(C), pages 50-59.
    9. Pronello, Cristina & Camusso, Cristian, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1294-1308.
    10. Jomnonkwao, Sajjakaj & Ratanavaraha, Vatanavongs, 2016. "Measurement modelling of the perceived service quality of a sightseeing bus service: An application of hierarchical confirmatory factor analysis," Transport Policy, Elsevier, vol. 45(C), pages 240-252.
    11. Cynthia Jacques & Kevin Manaugh & Ahmed El-Geneidy, 2013. "Rescuing the captive [mode] user: an alternative approach to transport market segmentation," Transportation, Springer, vol. 40(3), pages 625-645, May.
    12. Eboli, Laura & Mazzulla, Gabriella, 2011. "A methodology for evaluating transit service quality based on subjective and objective measures from the passenger's point of view," Transport Policy, Elsevier, vol. 18(1), pages 172-181, January.
    13. Cristina Pronello & Cristian Camusso, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Post-Print halshs-01084027, HAL.
    14. 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.
    15. Efthymiou, Dimitrios & Antoniou, Constantinos & Tyrinopoulos, Yannis & Skaltsogianni, Eleana, 2018. "Factors affecting bus users’ satisfaction in times of economic crisis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 3-12.
    16. González-Díaz, Manuel & Montoro-Sánchez, Ángeles, 2011. "Some lessons from incentive theory: Promoting quality in bus transport," Transport Policy, Elsevier, vol. 18(2), pages 299-306, March.
    17. 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.
    18. Lai, Wen-Tai & Chen, Ching-Fu, 2011. "Behavioral intentions of public transit passengers--The roles of service quality, perceived value, satisfaction and involvement," Transport Policy, Elsevier, vol. 18(2), pages 318-325, March.
    19. Ma, Xiaolei & Liu, Congcong & Wen, Huimin & Wang, Yunpeng & Wu, Yao-Jan, 2017. "Understanding commuting patterns using transit smart card data," Journal of Transport Geography, Elsevier, vol. 58(C), pages 135-145.
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