Managing Resources for Shared Micromobility: Approximate Optimality in Large-Scale Systems

References

• Abouee-Mehrizi H, Berman O, Sharma S (2015) Optimal joint replenishment and transshipment policies in a multi-period inventory system with lost sales. Oper. Res. 63(2):342–350.Link, Google Scholar
• Adelman D (2007) Price-directed control of a closed logistics queueing network. Oper. Res. 55(6):1022–1038.Link, Google Scholar
• Akturk D (2022) Managing inventory in a network: Performance bounds for simple policies. Oper. Res. Lett. 50(3):315–321.Crossref, Google Scholar
• Balseiro SR, Brown DB, Chen C (2021) Dynamic pricing of relocating resources in large networks. Management Sci. 67(7):4075–4094.Link, Google Scholar
• Benjaafar S, Jiang D, Li X, Li X (2022a) Dynamic inventory repositioning in on-demand rental networks. Management Sci. 68(11):7861–7878.Link, Google Scholar
• Benjaafar S, Wu S, Liu H, Gunnarsson EB (2022b) Dimensioning on-demand vehicle sharing systems. Management Sci. 68(2):1218–1232.Link, Google Scholar
• Bimpikis K, Candogan O, Saban D (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.Link, Google Scholar
• Birkhoff G (1976) House monotone apportionment schemes. Proc. Natl. Acad. Sci. USA 73(3):684–686.Crossref, Google Scholar
• Bobkov S, Ledoux M (2019) One-Dimensional Empirical Measures, Order Statistics, and Kantorovich Transport Distances, Memoirs of the American Mathematical Society, vol. 261 (American Mathematical Society, Providence, RI).Google Scholar
• Braverman A, Dai JG, Liu X, Ying L (2019) Empty-car routing in ridesharing systems. Oper. Res. 67(5):1437–1452.Link, Google Scholar
• Dai P, Song C, Lin H, Jia P, Xu Z (2018) Cluster-based destination prediction in bike sharing system. Proc. 2018 Artificial Intelligence Cloud Comput. Conf. ZZZ AICCC ‘18 (ACM, New York), 1–8.Google Scholar
• Greening L, Erera A (2021) Effective heuristics for distributing vehicles in free-floating micromobility systems. Working paper, Georgia Institute of Technology, Atlanta.Google Scholar
• He L, Hu Z, Zhang M (2020) Robust repositioning for vehicle sharing. Manufacturing Service Oper. Management 22(2):241–256.Link, Google Scholar
• Hosseini M, Milner J, Romero G (2024) Dynamic relocations in car-sharing networks. Oper. Res., ePub ahead of print June 6, https://doi.org/10.1287/opre.2021.0062.Google Scholar
• Kabra A, Belavina E, Girotra K (2020) Bike-share systems: Accessibility and availability. Management Sci. 66(9):3803–3824.Link, Google Scholar
• O’Mahony E, Shmoys DB (2015) Data analysis and optimization for (citi)bike sharing. AAAI’15 Proc. Twenty-Ninth AAAI Conf. Artificial Intelligence (AAAI Press, Palo Alto, CA), 687–694.Google Scholar
• Osorio J, Lei C, Ouyang Y (2021) Optimal rebalancing and on-board charging of shared electric scooters. Transportation Res. Part B Methodological 147:197–219.Crossref, Google Scholar
• Shu J, Chou MC, Liu Q, Teo CP, Wang IL (2013) Models for effective deployment and redistribution of bicycles within public bicycle-sharing systems. Oper. Res. 61(6):1346–1359.Link, Google Scholar
• Topaloglu H, Powell WB (2006) Dynamic-programming approximations for stochastic time-staged integer multicommodity-flow problems. INFORMS J. Comput. 18(1):31–42.Link, Google Scholar
• Van Mieghem JA, Rudi N (2002) Newsvendor networks: Inventory management and capacity investment with discretionary activities. Manufacturing Service Oper. Management 4(4):313–335.Link, Google Scholar
• Yang Y, Yu Y, Wang Q, Liu J (2022) Fleet repositioning for vehicle sharing systems: The optimality of balanced myopic policy. Working paper, City University of Hong Kong, Hong Kong.Google Scholar
• Zhao L, Liu Z, Hu P (2020) Dynamic repositioning for vehicle sharing with setup costs. Oper. Res. Lett. 48(6):792–797.Crossref, Google Scholar