IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v205y2026ics1366554525004983.html

Should customized bus services offer long-term tickets? An analysis of profitability and market impact

Author

Listed:
  • Wang, Jiangbo
  • Guo, Yuying
  • Wu, Jiyan
  • Liu, Kai
  • Chen, Anthony
  • Yamamoto, Toshiyuki

Abstract

This study investigates the profitability of the inclusion of long-term tickets in customized bus (CB) services, a flexible and high-quality transportation mode designed for routine trips such as commuting. Unlike traditional public transportation, CB services require reservations and have higher ticket prices, raising unique ticketing considerations. While long-term tickets can boost loyalty and satisfaction, they also bring additional costs, such as upfront payments and higher default risk. Passengers must assess how their expected usage matches the validity of long-term tickets, factoring in discounted future utility and potential dissatisfaction from mismatched durations. This study develops a theoretical framework for optimizing ticket menus and pricing strategies in commuter-oriented CB and similar demand-responsive transportation (DRT) systems, considering factors such as passenger heterogeneity, time discount rates, and operational costs. Results show that a hybrid ticket strategy, combining single-period and long-term tickets, generally yields higher profitability than either option alone, even though long-term tickets involve a larger per-period discount. However, when the unit satisfaction deviation cost is low, long-term tickets may cannibalize short-term ticket sales, but this effect can be offset by raising the single-period ticket price, leading to higher revenues. when the unit satisfaction deviation cost is high, expanding market coverage under the hybrid ticketing strategy does not necessarily increase operator profit; limiting coverage can produce better financial outcomes by reducing ticket cannibalization and enabling more effective price discrimination.

Suggested Citation

  • Wang, Jiangbo & Guo, Yuying & Wu, Jiyan & Liu, Kai & Chen, Anthony & Yamamoto, Toshiyuki, 2026. "Should customized bus services offer long-term tickets? An analysis of profitability and market impact," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
  • Handle: RePEc:eee:transe:v:205:y:2026:i:c:s1366554525004983
    DOI: 10.1016/j.tre.2025.104457
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554525004983
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2025.104457?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. Wei, Jie & Chang, Meijing, 2023. "Are price matching and logistics service enhancement always effective strategies for improving profitability?," European Journal of Operational Research, Elsevier, vol. 307(1), pages 103-115.
    2. Bueno, Paola Carolina & Gomez, Juan & Peters, Jonathan R. & Vassallo, Jose Manuel, 2017. "Understanding the effects of transit benefits on employees’ travel behavior: Evidence from the New York-New Jersey region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 1-13.
    3. Yihua Zhang & Zhan Zhao, 2024. "Optimal dynamic pricing for public transportation considering consumer social learning," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-19, January.
    4. Li, Yanan & Li, Xiang & Zhang, Sicheng, 2021. "Optimal pricing of customized bus services and ride-sharing based on a competitive game model," Omega, Elsevier, vol. 103(C).
    5. Luo, Shuli & He, Sylvia Y. & Grant-Muller, Susan & Song, Linqi, 2023. "Influential factors in customer satisfaction of transit services: Using crowdsourced data to capture the heterogeneity across individuals, space and time," Transport Policy, Elsevier, vol. 131(C), pages 173-183.
    6. Guo, Qianwen & Sun, Yanshuo & Schonfeld, Paul & Li, Zhongfei, 2021. "Time-dependent transit fare optimization with elastic and spatially distributed demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 353-378.
    7. Buehler, Ralph & Pucher, John, 2011. "Making public transport financially sustainable," Transport Policy, Elsevier, vol. 18(1), pages 126-138, January.
    8. Sharaby, Nir & Shiftan, Yoram, 2012. "The impact of fare integration on travel behavior and transit ridership," Transport Policy, Elsevier, vol. 21(C), pages 63-70.
    9. Ilyas B. Alhassan & B. Matthews & Jeremy P. Toner & Yusak O. Susilo, 2020. "The Movingo integrated ticket: seamless connections across the mälardalen region of Sweden," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(4), pages 404-423, May.
    10. Wang, Jiangbo & Yamamoto, Toshiyuki & Liu, Kai, 2022. "Exploring the subscribing behavior of customized bus passengers: Active users versus inactive users," Journal of choice modelling, Elsevier, vol. 43(C).
    11. Matas, Anna & Raymond, Josep-Lluis & Ruiz, Adriana, 2020. "Economic and distributional effects of different fare schemes: Evidence from the Metropolitan Region of Barcelona," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 1-14.
    12. Sun, Shuzhen & Liu, Tieming, 2023. "Pricing and sales-effort coordination facing free riding behaviors between a brick-and-mortar retailer and a platform store owned by the manufacturer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    13. Huber, Martin & Meier, Jonas & Wallimann, Hannes, 2022. "Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 22-39.
    14. Liu, Tao & Ceder, Avishai (Avi), 2015. "Analysis of a new public-transport-service concept: Customized bus in China," Transport Policy, Elsevier, vol. 39(C), pages 63-76.
    15. Kung, Ling-Chieh & Zhong, Guan-Yu, 2017. "The optimal pricing strategy for two-sided platform delivery in the sharing economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 1-12.
    16. Li, Xiaochuan & Li, Guo & Wu, Huamin & Tang, Ou, 2025. "Service portfolio design for ship-then-shop subscription in online retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 199(C).
    17. Gu, Wei & Heese, H. Sebastian & Kemahlıoğlu-Ziya, Eda & Ziya, Serhan, 2024. "Pricing for services with cross-segment externalities, capacity constraints, and competition," European Journal of Operational Research, Elsevier, vol. 313(2), pages 801-813.
    18. Paul A. Samuelson, 1937. "A Note on Measurement of Utility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 4(2), pages 155-161.
    19. Liu, Bin & Zhao, Xiuyan & Gu, Qiongqiaong, 2024. "Pricing strategy and platform competition with partial multi-homing agents: When the aggregation platform exists in ride-sharing market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    20. Zhou, Yaqian & Ke, Jintao & Yang, Hai & Guo, Pengfei, 2024. "Platform integration in ride-sourcing markets with heterogeneous passengers," Transportation Research Part B: Methodological, Elsevier, vol. 188(C).
    21. Sheu, Jiuh-Biing, 2014. "Airline ambidextrous competition under an emissions trading scheme – A reference-dependent behavioral perspective," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 115-145.
    22. Currie, Graham & Fournier, Nicholas, 2020. "Why most DRT/Micro-Transits fail – What the survivors tell us about progress," Research in Transportation Economics, Elsevier, vol. 83(C).
    23. Li, Xuan & Zheng, Qing & Ke, Da, 2025. "The rich get richer: Derivative revenue as a catalyst for bike-sharing subscription services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    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. Liu, Tao & You, Hailin & Gkiotsalitis, Konstantinos & Cats, Oded, 2024. "Human-Machine collaborative decision-making approach to scheduling customized buses with flexible departure times," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    2. Hannes Wallimann & Kevin Blattler & Widar von Arx, 2021. "Do price reductions attract customers in urban public transport? A synthetic control approach," Papers 2111.14613, arXiv.org, revised Mar 2022.
    3. Sharif Azadeh, Shadi & van der Zee, J. & Wagenvoort, M., 2022. "Choice-driven service network design for an integrated fixed line and demand responsive mobility system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 557-574.
    4. Li, Shichang & Wu, Jie & Li, Jingyan & Zhou, Fangkezi, 2025. "The adoption of personalized pricing in a supply chain with a common retailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    5. Wandelt, Sebastian & Zhang, Anming & Antoniou, Constantinos & Budd, Lucy & Castro-Nuno, Mercedes & Ding, Yida & Eliasson, Jonas & Goessling, Stefan & He, Sylvia Y. & Ison, Stephen & Jiang, Changmin & , 2025. "The Hitchhiker’s Guide to challenges in transport policy research: Towards ANSWERing questions regarding life, mobility, and everything," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
    6. Wu, Weitiao & Zhang, Zeyue & Lu, Kai & Ren, Jingxuan, 2025. "Dynamic demand-responsive transit scheduling with time-dependent travel times: A joint supply and demand management approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
    7. Liu, Yanan & Xiao, Tong & Deng, Jihao & Li, Tianhao & Yang, Linchun & Yuan, Quan, 2024. "Heterogeneous impacts of the built environment on survival of customized bus services across the downtown and suburbs," Journal of Transport Geography, Elsevier, vol. 118(C).
    8. Gong, Manlin & Hu, Yucong & Chen, Zhiwei & Li, Xiaopeng, 2021. "Transfer-based customized modular bus system design with passenger-route assignment optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    9. Nan Yang & Yong Long Lim, 2018. "Temporary Incentives Change Daily Routines: Evidence from a Field Experiment on Singapore’s Subways," Management Science, INFORMS, vol. 64(7), pages 3365-3379, July.
    10. Mononen, Lasse, 2024. "Dynamically Consistent Intergenerational Welfare," Center for Mathematical Economics Working Papers 687, Center for Mathematical Economics, Bielefeld University.
    11. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents," Journal of Business Research, Elsevier, vol. 175(C).
    12. Alessandro Vitale & Giuseppe Guido & Daniele Rogano, 2016. "A smartphone based DSS platform for assessing transit service attributes," Public Transport, Springer, vol. 8(2), pages 315-340, September.
    13. Hansen, Anders Chr., 2006. "Do declining discount rates lead to time inconsistent economic advice?," Ecological Economics, Elsevier, vol. 60(1), pages 138-144, November.
    14. Luigi Mittone & Lucia Savadori, 2008. "Influence of time delay on choice between gambles: Savoring the emotion," CEEL Working Papers 0802, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    15. Giles W Story & Ivaylo Vlaev & Ben Seymour & Joel S Winston & Ara Darzi & Raymond J Dolan, 2013. "Dread and the Disvalue of Future Pain," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-18, November.
    16. Jiang, Gege & Zhang, Xin & Qin, Xiaoran & Xie, Jiemin, 2026. "How do B2C and C2C ride-sourcing platforms perform with and without market aggregation: Theoretical analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
    17. Philip Streich & Jack S. Levy, 2007. "Time Horizons, Discounting, and Intertemporal Choice," Journal of Conflict Resolution, Peace Science Society (International), vol. 51(2), pages 199-226, April.
    18. Pier-André Bouchard St-Amant & Jean-Denis Garon, 2015. "Optimal redistributive pensions and the cost of self-control," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(5), pages 723-740, October.
    19. Haewon Yoon, 2020. "Impatience and Time Inconsistency in Discounting Models," Management Science, INFORMS, vol. 66(12), pages 5850-5860, December.
    20. Yildiz, Özgür, 2014. "Lehren aus der Verhaltensökonomik für die Gestaltung umweltpolitischer Maßnahmen [Lessons from behavioral economics for the design of environmental policy measures]," MPRA Paper 59360, University Library of Munich, Germany.

    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:eee:transe:v:205:y:2026:i:c:s1366554525004983. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    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.