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Beyond Repositioning: Crowd‐Sourcing and Geo‐Fencing for Shared‐Mobility Systems

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  • Qiao‐Chu He
  • Tiantian Nie
  • Yun Yang
  • Zuo‐Jun Shen

Abstract

In this study, we propose an integrated model of two‐sided stochastic matching platforms to understand the design and operations of free‐float shared‐mobility systems. In particular, we address the joint design of incentives (via “crowd‐sourcing”) and spatial capacity allocations (enabled by “geo‐fencing”). From the platform's perspective, we formulate stylized models based on strategic double‐ended queues. We optimize the design and operations of such systems in a case study using a data set from a leading free‐float bicycle‐sharing system, and solve it via mixed‐integer second‐order conic programs (SOCPs). Both stylized results and computational studies generate insights about fundamental trade‐offs and triangular relationships among operational costs, capacity utilization rates and service levels. Interestingly, we identify the role of spatial capacity (parking) management to fine‐tune the market thickness (transient service availability) in such a two‐sided marketplace. We show that a “capacity‐dependent approximation” can be very close to optimality, and outperforms policies ignoring capacity management. We also demonstrate that this framework can be operationalized in multiple directions, which generates insights concerning matching efficiency, performance comparison between crowd‐sourcing and repositioning, strategic server behaviors and network externalities. Our insights guide the platform and the policy‐maker to embrace “crowd‐sourcing” and “geo‐fencing” technologies for shared‐mobility systems.

Suggested Citation

  • Qiao‐Chu He & Tiantian Nie & Yun Yang & Zuo‐Jun Shen, 2021. "Beyond Repositioning: Crowd‐Sourcing and Geo‐Fencing for Shared‐Mobility Systems," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3448-3466, October.
    • Handle: RePEc:bla:popmgt:v:30:y:2021:i:10:p:3448-3466
    DOI: 10.1111/poms.13442
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    1. Adolf Diegel, 1966. "A Linear Approach to the Dynamic Inventory Problem," Management Science, INFORMS, vol. 12(7), pages 530-540, March.
    2. Schuijbroek, J. & Hampshire, R.C. & van Hoeve, W.-J., 2017. "Inventory rebalancing and vehicle routing in bike sharing systems," European Journal of Operational Research, Elsevier, vol. 257(3), pages 992-1004.
    3. Jia Shu & Mabel C. Chou & Qizhang Liu & Chung-Piaw Teo & I-Lin Wang, 2013. "Models for Effective Deployment and Redistribution of Bicycles Within Public Bicycle-Sharing Systems," Operations Research, INFORMS, vol. 61(6), pages 1346-1359, December.
    4. Jiaru Bai & Kut C. So & Christopher S. Tang & Xiqun (Michael) Chen & Hai Wang, 2019. "Coordinating Supply and Demand on an On-Demand Service Platform with Impatient Customers," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 556-570, July.
    5. Lin, Jenn-Rong & Yang, Ta-Hui, 2011. "Strategic design of public bicycle sharing systems with service level constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 284-294, March.
    6. Omar Besbes & Assaf Zeevi, 2015. "On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning," Management Science, INFORMS, vol. 61(4), pages 723-739, April.
    7. Alvarez-Valdes, Ramon & Belenguer, Jose M. & Benavent, Enrique & Bermudez, Jose D. & Muñoz, Facundo & Vercher, Enriqueta & Verdejo, Francisco, 2016. "Optimizing the level of service quality of a bike-sharing system," Omega, Elsevier, vol. 62(C), pages 163-175.
    8. Sharon Datner & Tal Raviv & Michal Tzur & Daniel Chemla, 2019. "Setting Inventory Levels in a Bike Sharing Network," Service Science, INFORMS, vol. 53(1), pages 62-76, February.
    9. Sameer Hasija & Zuo-Jun Max Shen & Chung-Piaw Teo, 2020. "Smart City Operations: Modeling Challenges and Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 203-213, January.
    10. J. George Shanthikumar & David D. Yao, 1992. "Multiclass Queueing Systems: Polymatroidal Structure and Optimal Scheduling Control," Operations Research, INFORMS, vol. 40(3-supplem), pages 293-299, June.
    11. Long He & Ho-Yin Mak & Ying Rong & Zuo-Jun Max Shen, 2017. "Service Region Design for Urban Electric Vehicle Sharing Systems," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 309-327, May.
    12. Pierce, Gregory & Willson, Hank & Shoup, Donald, 2015. "Optimizing the use of public garages: Pricing parking by demand," Transport Policy, Elsevier, vol. 44(C), pages 89-95.
    13. Elliot Fishman, 2016. "Bikeshare: A Review of Recent Literature," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 92-113, January.
    14. Pierce, Gregory & Shoup, Donald, 2013. "Getting the Prices Right: An Evaluation of Pricing Parking by Demand in San Francisco," University of California Transportation Center, Working Papers qt2h76j73j, University of California Transportation Center.
    15. Zuo-Jun Max Shen & Collette Coullard & Mark S. Daskin, 2003. "A Joint Location-Inventory Model," Transportation Science, INFORMS, vol. 37(1), pages 40-55, February.
    16. Gustavo Romanillos & Martin Zaltz Austwick & Dick Ettema & Joost De Kruijf, 2016. "Big Data and Cycling," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 114-133, January.
    17. Wei Qi & Zuo‐Jun Max Shen, 2019. "A Smart‐City Scope of Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 28(2), pages 393-406, February.
    18. Gregory Pierce & Donald Shoup, 2013. "Getting the Prices Right," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 67-81, January.
    19. Saif Benjaafar & Ming Hu, 2020. "Operations Management in the Age of the Sharing Economy: What Is Old and What Is New?," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 93-101, January.
    20. Kostas Bimpikis & Wedad J. Elmaghraby & Ken Moon & Wenchang Zhang, 2020. "Managing Market Thickness in Online Business-to-Business Markets," Management Science, INFORMS, vol. 66(12), pages 5783-5822, December.
    21. Qingying Li & Pengfei Guo & Chung-Lun Li & Jing-Sheng Song, 2016. "Equilibrium Joining Strategies and Optimal Control of a Make-to-Stock Queue," Production and Operations Management, Production and Operations Management Society, vol. 25(9), pages 1513-1527, September.
    22. Ho‐Yin Mak & Zuo‐Jun Max Shen, 2009. "A two‐echelon inventory‐location problem with service considerations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(8), pages 730-744, December.
    23. Philipp Afèche & Adam Diamant & Joseph Milner, 2014. "Double-Sided Batch Queues with Abandonment: Modeling Crossing Networks," Operations Research, INFORMS, vol. 62(5), pages 1179-1201, October.
    24. Qian, Zhen (Sean) & Rajagopal, Ram, 2014. "Optimal occupancy-driven parking pricing under demand uncertainties and traveler heterogeneity: A stochastic control approach," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 144-165.
    25. Ying Shi & Zhaotong Lian, 2016. "Equilibrium Strategies and Optimal Control for a Double-Ended Queue," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(03), pages 1-18, June.
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