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原文传递 Real-Time Dynamic Pricing for Bicycle Sharing Programs

题名：	Real-Time Dynamic Pricing for Bicycle Sharing Programs
作者：	Haider, Z.; Nikolaev, A.; Kang, J. E.; Kwon, C.
关键词：	Bike-sharing##Shared-mobility##Rebalancing##Pricing##Heuristics##Bike demand data##Incentives##Capital Bikeshare##Washington (DC)##
摘要：	This paper presents a new conceptual approach to improve the operational performance of public bike sharing systems using pricing schemes. Its methodological developments are accompanied by experimental analyses with bike demand data from Capital Bikeshare program of Washington, DC. An optimized price vector determines the incentive levels that can persuade system customers to take bicycles from, or park them at, neighboring stations so as to strategically minimize the number of unbalanced stations. This strategy intentionally makes some unbalanced stations even more highly unbalanced, creating hub stations. This reduces the need for trucks and dedicated staff to carry out inventory repositioning. For smaller networks, a bilevel optimization model is introduced to minimize the number of unbalanced stations optimally. The results are compared with two heuristic approaches. One approach involves a genetic algorithm, while the second adjusts route prices by segregating the stations into different categories based on their current inventory profile, projected future demand, and maximum and minimum inventory values calculated to fulfill certain desired service level requirements. It is shown that the latter approach, called the iterative price adjustment scheme (IPAS), reduces the overall operating cost while partially or fully obviating the need for a manual repositioning operation.
总页数：	39
报告类型：	科技报告