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A dynamic pricing scheme with negative prices in dockless bike sharing systems

机译:无底座自行车共享系统中带有负价格的动态定价方案

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摘要

To achieve bike relocation' through travellers' spontaneous behaviour in dockless bike sharing systems, an innovative dynamic pricing scheme with negative prices is introduced. In normal situation, users pay a positive price to operators for using a bike. However, when imbalanced distribution of bikes occurs in the system, users who cycle from the oversupplied area to undersupplied area will receive monetary reward from the operator, i.e., negative pricing applies. A user equilibrium dynamic traffic assignment model is developed to capture travellers' mode-path choice behaviour in response to the proposed dynamic pricing strategy. Travellers can either use a single transportation mode (e.g. walking, cycling and bus) or take multiple modes to complete their trips. The user equilibrium travel pattern is formulated as a variational inequality problem and then solved by a path-flow swapping algorithm. Two numerical examples are conducted to demonstrate that the proposed dynamic pricing strategy with negative prices is effective in terms of attracting users as well as achieving a more balanced bike repositioning, especially when the number of bikes provided in the system is limited. (C) 2019 Elsevier Ltd. All rights reserved.
机译:为了通过旅行者在无底座自行车共享系统中的自发行为实现自行车的重新安置,引入了一种创新的带有负价格的动态定价方案。在正常情况下,用户会为使用自行车的经营者支付正价。但是,当系统中发生自行车分配不平衡时,从供过于求的区域骑行到供不应求的区域的用户将获得运营商的金钱奖励,即负定价。建立了用户平衡动态交通分配模型,以捕获旅行者的动态路径策略选择行为,以响应提出的动态定价策略。旅行者可以使用单一的交通方式(例如步行,骑自行车和乘公共汽车),也可以采用多种方式完成旅行。用户平衡出行模式被公式化为变分不等式问题,然后通过路径流交换算法求解。进行了两个数值示例,以证明所提出的带有负价的动态定价策略在吸引用户以及实现更平衡的自行车重新定位方面特别有效,尤其是在系统中提供的自行车数量有限的情况下。 (C)2019 Elsevier Ltd.保留所有权利。

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