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首页> 外文期刊>Transportation Research Part B: Methodological >Managing bottleneck congestion with incentives
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Managing bottleneck congestion with incentives

机译:通过激励措施管理瓶颈拥堵

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摘要

Incentive-Based Traffic Demand Management (IBTDM) is a strategy that adopts incentives to demotivate driving trips, or to redistribute demand across space and time. In this paper, we demonstrate the effectiveness of an IBTDM strategy that provides incentives to shift the commuting public's departure times so that the queueing delay is reduced. Based on Vickrey's bottleneck model, this paper considers the impact of incentive budget and market penetration rate on the optimal incentive profile for both homogeneous and heterogeneous commuters. The resulting departure pattern created by the optimal incentive profile achieves Pareto Optimality. The results indicate that an optimal incentive profile is "U-shape" during the morning peak with a limited budget. Additionally, we find that the marginal benefit of incentive is diminishing. Lastly, although Pareto improvement is achieved, commuters with higher values of time are found to benefit more under the optimal incentive design. It is also discovered that the incentive provider should promote IBTDM to the two ends of the income level of the commuters to achieve the lowest total system travel time under an insufficient marketing budget. (C) 2020 Elsevier Ltd. All rights reserved.
机译:基于激励的交通需求管理(IBTDM)是一种采取激励措施来激励驾驶旅行或在时空上重新分配需求的策略。在本文中,我们证明了IBTDM策略的有效性,该策略提供了激励来改变通勤大众的出行时间,从而减少了排队延迟。基于维克瑞的瓶颈模型,本文考虑了激励预算和市场渗透率对同质和异类通勤者最优激励状况的影响。最优激励曲线创建的最终偏离模式实现了帕累托最优性。结果表明,在预算有限的早晨高峰期,最佳激励模式是“ U型”。此外,我们发现激励的边际收益正在减少。最后,尽管实现了帕累托改进,但在最佳激励设计下,具有较高时间价值的通勤者会受益更多。还发现激励提供者应将IBTDM提升到通勤者收入水平的两端,以在营销预算不足的情况下实现最低的总系统旅行时间。 (C)2020 Elsevier Ltd.保留所有权利。

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