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The Optimal Road Tolls and Parking Fees for Managing Daily Household Commute in a Linear City

机译:在线性城市管理日常家庭通勤的最佳道路通行费和停车费

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This paper exams a daily traffic pattern of household on a morning and evening commute link. It is assumed that the parking is located along commuting routes radiating from the CBD and the households have two preferred arrival times, i.e., school start time and work start time. Based on bottleneck model, the households' departure time choice is assumed to follow the user equilibrium principle according to tip cost. The analytical solution of the proposed model is derived. We then design pricing schemes, i.e., a time-varying road toll and a location-dependent parking fee. Within the framework of the extended bottleneck model, we proved that the proposed joint scheme of road toll and parking fee can effectively eliminate the queues behind the bottleneck, even reduce the schedule delay by reversing the spatial order of parking. We also find that the location-dependent parking fee with no road toll could improve the morning commute pattern. Furthermore, the numerical results show that the proposed pricing schemes can indeed improve the efficiency of the household commute through decreasing the total travel cost.
机译:本文在早晨和晚上的通勤链接中考试每日农户交通模式。假设停车位于从CBD辐射的通勤路线,家庭有两个优选的到达时间,即学校开始时间和工作开始时间。根据瓶颈模型,假设根据尖端成本,假设家庭的出发时间选择遵循用户平衡原理。推导出拟议模型的分析解决方案。然后我们设计定价方案,即时变的道路收费和位置依赖的停车费。在扩展瓶颈模型的框架内,我们证明了拟议的道路收费和停车费的联合计划可以有效地消除瓶颈背后的队列,甚至通过逆转停车位空间顺序减少进度延迟。我们还发现,没有公路收费的位置依赖停车费可以改善早晨的通勤模式。此外,数值结果表明,通过降低总旅行成本,拟议的定价方案确实可以提高家庭通勤的效率。

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