IDEAS home Printed from https://ideas.repec.org/a/spr/pubtra/v17y2025i2d10.1007_s12469-024-00375-6.html
   My bibliography  Save this article

Modeling passenger loyalty in intercity rail services using a generalized ordered logit model

Author

Listed:
  • Pedram Akbari

    (Amirkabir University of Technology
    The University of Calgary)

  • Mahmoud Mesbah

    (Amirkabir University of Technology
    The University of Queensland)

  • Morteza Bagheri

    (Iran University of Science and Technology)

Abstract

Loyalty has been considered an important factor in increasing passenger satisfaction, operator’s profitability and the share of public transportation in the literature. While most previous studies on intercity services investigated passengers’ loyalty considering hypothetical statements, such as the probability of making a trip or suggesting a service to others in the future, which may come true or not, this study examines loyalty based on actual passenger behavior by adopting the frequency of use as a proxy to measure loyalty. Furthermore, previous case studies used a specific line or a station in their research, while this paper surveyed 20,543 individuals from 15 intercity railway stations, ranging from large metropolises to medium and small towns. The data were analyzed by developing a generalized ordered logit model which could provide novel and comprehensive insight. As a result, 16 factors affecting the frequency of use were identified including a wide range of demographic, trip attributes, and infrastructure variables. Using this model provides policies on the likelihood of service use and passenger loyalty that cannot be found in the literature. The validation of the model shows a reasonable accuracy of prediction with 60% exact matches and 87% with one category difference. Planners and operators can use the result of this study to develop customer retention strategies and improve the patronage of transit operators.

Suggested Citation

  • Pedram Akbari & Mahmoud Mesbah & Morteza Bagheri, 2025. "Modeling passenger loyalty in intercity rail services using a generalized ordered logit model," Public Transport, Springer, vol. 17(2), pages 347-366, June.
  • Handle: RePEc:spr:pubtra:v:17:y:2025:i:2:d:10.1007_s12469-024-00375-6
    DOI: 10.1007/s12469-024-00375-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12469-024-00375-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12469-024-00375-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Bamberg, Sebastian & Fujii, Satoshi & Friman, Margareta & Gärling, Tommy, 2011. "Behaviour theory and soft transport policy measures," Transport Policy, Elsevier, vol. 18(1), pages 228-235, January.
    2. Odin, Yorick & Odin, Nathalie & Valette-Florence, Pierre, 2001. "Conceptual and operational aspects of brand loyalty: an empirical investigation," Journal of Business Research, Elsevier, vol. 53(2), pages 75-84, August.
    3. Losada-Rojas, Lisa Lorena & Gkartzonikas, Christos & Pyrialakou, V. Dimitra & Gkritza, Konstantina, 2019. "Exploring intercity passengers’ attitudes and loyalty to intercity passenger rail: Evidence from an on-board survey," Transport Policy, Elsevier, vol. 73(C), pages 71-83.
    4. Chang, Yu-Hern & Yeh, Chung-Hsing, 2017. "Corporate social responsibility and customer loyalty in intercity bus services," Transport Policy, Elsevier, vol. 59(C), pages 38-45.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    6. Carreira, Rui & Patrício, Lia & Natal Jorge, Renato & Magee, Chris, 2014. "Understanding the travel experience and its impact on attitudes, emotions and loyalty towards the transportation provider–A quantitative study with mid-distance bus trips," Transport Policy, Elsevier, vol. 31(C), pages 35-46.
    7. Amirali Soltanpour & Mahmoud Mesbah & Meeghat Habibian, 2020. "Customer satisfaction in urban rail: a study on transferability of structural equation models," Public Transport, Springer, vol. 12(1), pages 123-146, March.
    8. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LLC, edition 2, number long2, July.
    9. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LLC, vol. 6(1), pages 58-82, March.
    10. Juliano Chacon & Keith J. Mason, 2011. "An Analysis of the Relationship between Passenger Loyalty and Consumer Buying Behavior for Network and Low‐Cost Carriers," Transportation Journal, John Wiley & Sons, vol. 50(3), pages 271-290, July.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Min & Wang, Zheyuan & Cheng, Long & Chen, Enhui, 2022. "Exploring satisfaction with air-HSR intermodal services: A Bayesian network analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 69-89.
    2. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    3. Bruno Amable, 2009. "The Differentiation of Social Demands in Europe. The Social Basis of the European Models of Capitalism," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 91(3), pages 391-426, May.
    4. Xuan Phuong Nguyen, 2019. "The Bus Transportation Issue And People Satisfaction With Public Transport In Ho Chi Minh City ," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 42(1), pages 10-16, January.
    5. Michelsen, Carl Christian & Madlener, Reinhard, 2016. "Switching from fossil fuel to renewables in residential heating systems: An empirical study of homeowners' decisions in Germany," Energy Policy, Elsevier, vol. 89(C), pages 95-105.
    6. Charlie Tchinda & Marcus Dejardin, 2021. "Are Business Policy Measures in Response to the COVID-19 Pandemic to Be Equally Valued? An Exploration According to SMEs Owners’ Business Expectations," Sustainability, MDPI, vol. 13(21), pages 1-42, October.
    7. Liping Wang & Xiufeng Sun & Junru Yan & Meiru Xie & Hua Qin, 2025. "Quantitative Assessment of Age-Friendly Design in Mountainous Urban Community Parks Based on Nonlinear Models: An Empirical Study in Chongqing, China," Land, MDPI, vol. 14(4), pages 1-27, April.
    8. Wixe, Sofia & Nilsson, Pia & Naldi, Lucia & Westlund, Hans, 2017. "Disentangling Innovation in Small Food Firms: The role of External Knowledge, Support, and Collaboration," Working Paper Series in Economics and Institutions of Innovation 446, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    9. Chandra Mahapatra, Subas & Bellamkonda, Raja Shekhar, 2023. "Higher expectations of passengers do really sense: Development and validation a multiple scale-FliQual for air transport service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    10. Sofia Wixe & Pia Nilsson & Lucia Naldi & Hans Westlund, 2023. "The role of collaboration and external knowledge for innovation in small food firms," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 135-155, February.
    11. Axel C. Mühlbacher & Anika Kaczynski & Peter Zweifel & F. Reed Johnson, 2016. "Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview," Health Economics Review, Springer, vol. 6(1), pages 1-14, December.
    12. 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.
    13. Yi Han & Enying Zheng & Minya Xu, 2014. "The Influence from the Past: Organizational Imprinting and Firms’ Compliance with Social Insurance Policies in China," Journal of Business Ethics, Springer, vol. 122(1), pages 65-77, June.
    14. Xindong Xue & W. Robert Reed, 2015. "The Relationship Between Social Capital And Health In China," Working Papers in Economics 15/05, University of Canterbury, Department of Economics and Finance.
    15. Qiu, Feng & Goodwin, Barry K. & Gervais, Jean-Philippe, 2011. "An Empirical Investigation of the Linkages between Government Payments and Farmland Leasing Arrangements," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(3), pages 1-16.
    16. Jung , Taehyun & Walsh , John P., 2011. "Organizational paths of commercializing patented inventions: The effects of transaction costs, firm capabilities, and collaborative ties," Papers in Innovation Studies 2011/3, Lund University, CIRCLE - Centre for Innovation Research.
    17. Adewale Henry Adenuga & Claire Jack & Ronan McCarry, 2023. "Investigating the Factors Influencing the Intention to Adopt Long-Term Land Leasing in Northern Ireland," Land, MDPI, vol. 12(3), pages 1-18, March.
    18. Mohamed Mnasri & Georges Dionne & Jean-Pierre Gueyie, 2013. "How do firms hedge risks? Empirical evidence from U.S. oil and gas producers," Working Papers 13-3, HEC Montreal, Canada Research Chair in Risk Management.
    19. Elvire Guillaud, 2013. "Preferences for redistribution: an empirical analysis over 33 countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(1), pages 57-78, March.
    20. Raúl Pozo-Rubio & Román Mínguez-Salido & Isabel Pardo-García & Francisco Escribano-Sotos, 2019. "Catastrophic long-term care expenditure: associated socio-demographic and economic factors," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(5), pages 691-701, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:pubtra:v:17:y:2025:i:2:d:10.1007_s12469-024-00375-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.