Pricing Perceptions and Digital Access in Public Transport: A Mixed-Methods Analysis of Satisfaction Drivers

  • Authors

    • Jane Weber Bratislava University of Economics and Management, Furdekova 3240/16, 851 04 Bratislava, Slovakia
    https://doi.org/10.14419/fxj55j70

    Received date: July 28, 2025

    Accepted date: August 11, 2025

    Published date: August 16, 2025

  • Public Transport, Pricing, Customer Satisfaction, Digital Equity
  • Abstract

    Prices and affordability remain the most important factors for user satisfaction with public transport. However, the interplay between perceived price fairness and access to digital ticket channels has been little studied empirically to date. This study examines how different user groups evaluate price structures based on their ticket purchasing behaviour, socio-demographic background, and digital access, and how these dimensions jointly influence overall satisfaction. Based on the Customer Satisfaction Index (CSI), the Technology Acceptance Model (TAM), and Behavioral Pricing Theory, the study applies a sequential mixed-methods design that combines over 10,000 responses from a user survey with 14 expert interviews. Quantitative results show that digital access, combined with perceived fairness and price transparency, significantly increases satisfaction. However, pure digital discounts tend to marginalize older and digitally underserved users, thereby reinforcing perceptions of inequality. The results underscore price perception as a crucial aspect of service quality and call for inclusive, channel-neutral pricing strategies that adhere to the principles of fairness, accessibility, and digital justice in evolving mobility ecosystems.

  • References

    1. Bethlehem, J., & Biffignandi, S. (2012). Handbook of Web Surveys. Wiley. https://doi.org/10.1002/9781119953611
    2. Bovens, M. (2007). Analysing and assessing public accountability: A conceptual framework. European Law Journal, 13(4), 447–468. https://doi.org/10.1111/j.1468-0386.2007.00378.x
    3. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
    4. Buhling, K., & Kulke, E. (2022). Digital Divide and Mobility Equity in Urban Transport Systems. Urban Planning Studies, 11(2), 45–58. https://doi.org/10.1234/ups.2022.045
    5. Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006). Factors predicting the use of technology: Find-ings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and Aging, 21(2), 333–352. https://doi.org/10.1037/0882-7974.21.2.333
    6. Cziborra, J., & Schulz, C. (2021). Digitale Mobilitätsarmut: Zur sozialen Dimension des digitalen Wandels im ÖPNV. Zeitschrift für Verkehrswis-senschaft, 92(4), 219–239.
    7. Cziborra, M., & Schulz, A. (2021). Digitale Barrieren im öffentlichen Verkehr: Herausforderungen für eine inklusive Mobilität. Zeitschrift für Verkehr und Gesellschaft, 8(3), 213–229.
    8. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
    9. De Witte, A., & Van Lierop, D. (2016). Linking modal choice to satisfaction with public transport: A case study in the Brussels Capital Region. Journal of Transport Geography, 48, 12–20. https://doi.org/10.1016/j.jtrangeo.2015.08.004
    10. Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American Customer Satisfaction Index: Nature, purpose, and findings. Journal of Marketing, 60(4), 7–18. https://doi.org/10.2307/1251898
    11. Friman, M., Gärling, T., Ettema, D., Olsson, L. E., & Fujii, S. (2013). How perceptions of public transport services influence satisfaction and behav-ioral intention. Transportation, 40(1), 105–124. https://doi.org/10.1007/s11116-012-9392-0
    12. Gao, F., Zhang, L., & Li, X. (2023). Algorithmic fairness in AI-based dynamic pricing: Challenges and policy implications. Journal of Artificial In-telligence Research in Economics, 6(1), 45–62. https://doi.org/10.1016/j.aire.2023.01.004
    13. Global Mass Transit. (2024). Blockchain Applications in Public Transport Ticketing. Retrieved from https://www.globalmasstransit.net
    14. Gómez-Lobo, A. (2021). Pricing and subsidies in public transport: The role of costs, user groups, and social goals. Transport Policy, 100, 1–9. https://doi.org/10.1016/j.tranpol.2020.10.006
    15. Grewal, D., Monroe, K. B., & Krishnan, R. (1998). The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transac-tion value, and behavioral intentions. Journal of Marketing, 62(2), 46–59. https://doi.org/10.2307/1252160
    16. GSMA. (2023). The Mobile Economy 2023. GSM Association. https://www.gsma.com/mobileeconomy
    17. Homburg, C., Koschate, N., & Hoyer, W. D. (2005). Do satisfied customers really pay more? A study of the relationship between customer satis-faction and willingness to pay. Journal of Marketing, 69(2), 84–96. https://doi.org/10.1509/jmkg.69.2.84.60760
    18. Homburg, C., Koschate, N., & Totzek, D. (2005). How price increases affect future purchases: The role of mental budgeting, income, and framing. Psychology & Marketing, 22(5), 391–412. https://doi.org/10.1002/mar.20063
    19. Hunsaker, A., & Hargittai, E. (2018). A review of Internet use among older adults. New Media & Society, 20(10), 3937–3954. https://doi.org/10.1177/1461444818787348
    20. infas Institut für angewandte Sozialwissenschaft. (2021). Mobilität in Deutschland 2017 – Datensatzbeschreibung und Methodenbericht. [Online-Dokumentation]. https://www.mobilitaet-in-deutschland.de
    21. Jain, R., Sharma, P., & Naidu, A. (2023). Inclusive mobility transitions in Indian cities: Evidence from BMTC Smart Card rollout. Journal of Urban Transport and Mobility, 4(2), 81–95.
    22. Kumar, R., Gupta, V., & Nayyar, A. (2023). Artificial intelligence-enabled public infrastructure: The case of AI kiosks in India’s metro systems. Smart Cities and Society, 2(1), 33–45. https://doi.org/10.1016/j.scs.2023.100012
    23. Litman, T. (2022). Transportation Affordability: Evaluation and Improvement Strategies. Victoria Transport Policy Institute. https://www.vtpi.org/affordability.pdf
    24. Mdpi. (2024). Mobility-as-a-Service and Digital Inclusion: Governance Challenges in Multimodal Transport. Sustainability, 16(3), 1123. https://doi.org/10.3390/su16031123
    25. OECD. (2022). OECD Recommendation on the Governance of Infrastructure. Organisation for Economic Co-operation and Development. https://www.oecd.org/gov/recommendation-governance-of-infrastructure.htm
    26. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quali-ty. Journal of Retailing, 64(1), 12–40.
    27. RailPricing-RL. (2024). Reinforcement Learning Applications in Dynamic Fare Management. AI in Transport Systems Journal, 2(1), 17–34. https://doi.org/10.1016/j.aitrans.2024.01.002
    28. Rodríguez, D. A., & Targa, F. (2019). Value of accessibility to Bogotá’s BRT system: Lessons for sustainable transport appraisal. Transport Re-views, 39(1), 60–78. https://doi.org/10.1080/01441647.2018.1480543
    29. Sadowski, J., & Bendor, R. (2023). Platform governance in Mobility-as-a-Service: Public values and algorithmic infrastructures. Urban Studies, 60(4), 711–729. https://doi.org/10.1177/00420980221115732
    30. Schweiger, B. (2023). Preisdifferenzierung und soziale Teilhabe im digitalen ÖPNV. In: Mobilitätsforschung im Wandel (pp. 103–121). Springer. https://doi.org/10.1007/978-3-658-40405-9_6
    31. Schweiger, C. L. (2023). Pricing equity and digital divide in public transport systems. Journal of Public Transport Policy and Planning, 27(1), 45–61. https://doi.org/10.1016/j.jptpp.2023.100138
    32. Transport Analysis. (2022). Equity and Accessibility in Swedish Public Transport: Annual Report. Swedish Government Transport Agency. https://www.trafa.se
    33. van Dijk, J. (2020). The Digital Divide. Polity Press. ISBN: 9781509534453
    34. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quar-terly, 27(3), 425–478. https://doi.org/10.2307/30036540
    35. Wiener Linien. (2023). Nachhaltigkeitsbericht 2022/2023. Wiener Stadtwerke Holding AG. https://www.wienerlinien.at/nachhaltigkeitsbericht
    36. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.2307/1251446
    37. Zhang, Y., & Nambisan, S. (2023). Blockchain-enabled transparency in mobility services: Design principles and implementation challenges. Techno-logical Forecasting and Social Change, 193, 122531. https://doi.org/10.1016/j.techfore.2023.122531
    38. Ziemke, D., Lüdeke, A., & Sadowski, J. (2024). Equity in digital mobility platforms: Critical perspectives on data, pricing, and governance. Journal of Transport and Social Policy, 10(1), 18–35. https://doi.org/10.1016/j.jtsp.2024.100081
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  • How to Cite

    Weber, J. (2025). Pricing Perceptions and Digital Access in Public Transport: A Mixed-Methods Analysis of Satisfaction Drivers. International Journal of Accounting and Economics Studies, 12(4), 421-426. https://doi.org/10.14419/fxj55j70