Flexible parking reservation system and pricing: A continuum approximation approach
Flexible parking reservation system and pricing: A continuum approximation approach
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DOI：
10.1016/j.trb.2019.07.006
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
Xiaotian Wang;Xin Wang
中科院分区：
文献类型：
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作者：
Xiaotian Wang;Xin Wang
基于预订的停车系统的优点是消除了停车时的车辆巡航。虽然许多长期(例如每天)的停车预订服务已经在使用，但由于客户到达和离开的高度不确定性，短期(例如每小时)停车预订仍然是一个巨大的挑战。为了缓解客户随机延迟离开导致的服务失败，我们提出了一种新的灵活预约机制，该机制不再局限于特定时间的特定位置，而是容忍预定的时空灵活性。通过为这种停车灵活性设计的定价工具，客户可以进行协调，显著降低预订失败率，从而实现最佳的系统均衡，使整个社会受益。由于该系统的复杂性，本文采用连续统近似框架对大型城市停车系统进行了分析。我们可以通过有限的优化差距和分析洞察力成功地提供准确的系统管理决策支持。
Reservation-based parking systems have the merit of eliminating vehicle cruising for parking. While many long-period (e.g., daily) parking reservation services are already in use, short-period (e.g., hourly) parking reservation remains a huge challenge due to the high uncertainty of customer arrivals and departures. To mitigate the service failure caused by random late departures of customers, we propose a new flexible reservation mechanism in which the reservation is no longer restricted to a specific location at a specific time, but tolerates predetermined spatiotemporal flexibility instead. With a pricing instrument designed for such parking flexibility, customers can coordinate to significantly reduce the reservation failure rate, resulting in an optimal system equilibrium benefiting the entire society. Due to the complex nature of this system, a continuum approximation framework is used to provide tractable analysis for a large-scale urban parking system. We can successfully provide accurate system management decision support with a bounded optimality gap and analytical insights.