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Build or cooperate with a bike-sharing system? Operation mode selection of metro operator with different information sharing strategies

Author

Listed:
  • Zhou, Chang
  • Li, Xiang
  • Feng, Bo

Abstract

To fill the last-mile service gap, a metro operator possessing superior demand information can either build a public bike system incurring a setup cost or cooperate with an existing bike-sharing company through cost-sharing mechanism to provide metro+bike services, corresponding to self-owned mode (S mode) or partnership mode (P mode), respectively. Note that the metro operator acts as a centralized decision maker with a symmetric information structure under the S mode, whereas with an option to share information or not under the P mode. We model a multistage game framework to investigate how the interplay between information sharing strategy and operation mode selection could create value for a metro+bike system with demand uncertainty. From our analysis, information sharing leaves both the metro operator and the bike-sharing company better off, and such positive effect can be strengthened by accurate demand information, especially for the bike-sharing company. Our results, therefore, suggest more caution in the metro operator’s information strategy to prevent his partner from free-riding. When the sharing strategy is in place, a metro operator with weaker predictive capabilities is typically expected to transfer the risk arising from forecasting errors to a partner by engaging in the P mode. Despite expectations, the result indicates that the cost advantage created by a sufficiently high investment efficiency can potentially offset the information disadvantage, ultimately favoring the S mode. We also solve the dual-mode operation cases that allow public bikes and shared bikes to coexist in the marketplace, thereby forcing service providers to engage in Bertrand price competition. Through comparative analyses, we identify that the incentive for the metro operator to share demand information hinges critically on cost efficiency. To elaborate, information sharing is more likely to occur when convenience investment expectations are pessimistic.

Suggested Citation

  • Zhou, Chang & Li, Xiang & Feng, Bo, 2025. "Build or cooperate with a bike-sharing system? Operation mode selection of metro operator with different information sharing strategies," Omega, Elsevier, vol. 133(C).
  • Handle: RePEc:eee:jomega:v:133:y:2025:i:c:s0305048324002275
    DOI: 10.1016/j.omega.2024.103263
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    References listed on IDEAS

    as
    1. Baojun Jiang & Lin Tian & Yifan Xu & Fuqiang Zhang, 2016. "To Share or Not to Share: Demand Forecast Sharing in a Distribution Channel," Marketing Science, INFORMS, vol. 35(5), pages 800-809, September.
    2. Cai, Jianhu & Sun, Haining & Shang, Jennifer & Hegde, Gajanan G., 2023. "Information structure selection in a green supply chain: Impacts of wholesale price and greenness level," European Journal of Operational Research, Elsevier, vol. 306(1), pages 34-46.
    3. Zhong, Qinjia & Wang, Jianjun & Zou, Zongbao & Lai, Xiaofan, 2023. "The incentives for information sharing in online retail platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    4. Xia, Jing & Niu, Wenju, 2021. "Carbon-reducing contract design for a supply chain with environmental responsibility under asymmetric information," Omega, Elsevier, vol. 102(C).
    5. Wu, Xiangxiang & Zha, Yong & Yu, Yugang, 2022. "Asymmetric retailers’ sales effort competition in the presence of a manufacturer’s help," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    6. Robert L. Winkler, 1981. "Combining Probability Distributions from Dependent Information Sources," Management Science, INFORMS, vol. 27(4), pages 479-488, April.
    7. Guan, Zili & Zhang, Xumei & Zhou, Maosen & Dan, Yiran, 2020. "Demand information sharing in competing supply chains with manufacturer-provided service," International Journal of Production Economics, Elsevier, vol. 220(C).
    8. Molenbruch, Yves & Braekers, Kris & Hirsch, Patrick & Oberscheider, Marco, 2021. "Analyzing the benefits of an integrated mobility system using a matheuristic routing algorithm," European Journal of Operational Research, Elsevier, vol. 290(1), pages 81-98.
    9. Perdikaki, Olga & Kostamis, Dimitris & Swaminathan, Jayashankar M., 2016. "Timing of service investments for retailers under competition and demand uncertainty," European Journal of Operational Research, Elsevier, vol. 254(1), pages 188-201.
    10. Zhou, Chang & Li, Xiang & Chen, Lujie, 2023. "Modelling the effects of metro and bike-sharing cooperation: Cost-sharing mode vs information-sharing mode," International Journal of Production Economics, Elsevier, vol. 261(C).
    11. Aditya Jain, 2022. "Sharing Demand Information with Retailer Under Upstream Competition," Management Science, INFORMS, vol. 68(7), pages 4983-5001, July.
    12. Xu, Hongyan & Liu, Xiaomin & Huang, He, 2023. "Information sharing and order allocation rule in dual-sourcing," Omega, Elsevier, vol. 114(C).
    13. Dong, Zhongpeng & Fan, Zhi-Ping & Wang, Ningning, 2023. "An analysis of pricing strategy for bike-sharing services: The role of the inconvenience cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    14. Albert Y. Ha & Huajiang Luo & Weixin Shang, 2022. "Supplier Encroachment, Information Sharing, and Channel Structure in Online Retail Platforms," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1235-1251, March.
    15. Auyon Siddiq & Terry A. Taylor, 2022. "Ride-Hailing Platforms: Competition and Autonomous Vehicles," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1511-1528, May.
    16. Lai, Xiaofan & Tao, Yi & Wang, Fan & Zou, Zongbao, 2019. "Sustainability investment in maritime supply chain with risk behavior and information sharing," International Journal of Production Economics, Elsevier, vol. 218(C), pages 16-29.
    17. Zekun Liu & Dennis J. Zhang & Fuqiang Zhang, 2021. "Information Sharing on Retail Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 606-619, May.
    18. Peng, Wenli & Merckx, Gilles & Chaturvedi, Aadhaar & Chevalier, Philippe, 2022. "Purchasing together or alone? Tradeoffs for information sharing," International Journal of Production Economics, Elsevier, vol. 252(C).
    19. Huang, Song & Zhang, Xianmei & Chen, Shuting, 2021. "Information acquisition with advertising threshold effect under manufacturer encroachment in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    20. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    21. Weixin Shang & Albert Y. Ha & Shilu Tong, 2016. "Information Sharing in a Supply Chain with a Common Retailer," Management Science, INFORMS, vol. 62(1), pages 245-263, January.
    22. Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Xiang Li & Yongjian Li & Xiaoqiang Cai & Jun Shan, 2016. "Service Channel Choice for Supply Chain: Who is Better Off by Undertaking the Service?," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 516-534, March.
    23. Lucas Agussurja & Shih-Fen Cheng & Hoong Chuin Lau, 2019. "A State Aggregation Approach for Stochastic Multiperiod Last-Mile Ride-Sharing Problems," Service Science, INFORMS, vol. 53(1), pages 148-166, February.
    24. Martin, Elliot W. & Shaheen, Susan A., 2014. "Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities," Journal of Transport Geography, Elsevier, vol. 41(C), pages 315-324.
    25. Martin, Elliot PhD & Shaheen, Susan PhD, 2014. "Evaluating Public Transit Modal Shift Dynamics In Response to Bikesharing: A Tale of Two U.S. Cities," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6x29n876, Institute of Transportation Studies, UC Berkeley.
    26. Guo Li & Lin Tian & Hong Zheng, 2021. "Information Sharing in an Online Marketplace with Co‐opetitive Sellers," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3713-3734, October.
    27. Albert Y. Ha & Quan Tian & Shilu Tong, 2017. "Information Sharing in Competing Supply Chains with Production Cost Reduction," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 246-262, May.
    28. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "To be or not to be dockless: Empirical analysis of dockless bikeshare development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 122-147.
    29. Zheng, Hong & Li, Guo & Guan, Xu & Sethi, Suresh & Li, Yu, 2021. "Downstream information sharing and sales channel selection in a platform economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
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