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Tradable credit scheme for rush hour travel choice with heterogeneous commuters

机译:高峰时段旅行选择的可交易信贷计划与异类通勤者

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摘要

This article proposes a tradable credit scheme for managing commuters travel choices. The scheme considers bottleneck congestion and modal split in a competitive highway-transit network with heterogeneous commuters who are distinguished by their valuation of travel time. The scheme charges all auto travelers who pass the bottleneck during a peak-time window in the form of mobility credits. Those who avoid the peak-time window, by either traveling outside the peak-time window or switching to the transit mode, may be rewarded credits. An artificial market is created so that the travelers may trade these credits with each other. We formulate the credit price and the rewarded and charged credits under tradable credit scheme. Our analyses indicate that the optimal tradable credit scheme can achieve nearly 40% efficiency gains depending on the level of commuters heterogeneity. In addition, this scheme distributes the benefits among all the commuters directly through the credit trading. Our results suggest that in assessing the efficiency of tradable credit scheme, it is important to take into account the commuters heterogeneity. Numerical experiments are conducted to examine the sensitivity of tradable credit scheme designs to various system parameters.
机译:本文提出了一种可交易的信贷计划,用于管理通勤者的旅行选择。该方案考虑了具有竞争性高速公路通勤网络中的瓶颈拥挤和模式分裂,该通勤者的异构通勤者通过对旅行时间的评估来区分。该计划向所有在高峰时段通过瓶颈的汽车旅行者收取流动性积分。那些通过在高峰时间窗外行驶或切换到公交方式而避开高峰时间窗的人可能会获得奖励积分。建立了一个人工市场,以便旅行者可以相互交易这些积分。我们根据可交易信贷计划制定信贷价格以及奖励和收费信贷。我们的分析表明,最佳的可交易信贷方案可以实现近40%的效率提升,具体取决于通勤者的异质性水平。另外,该方案直接通过信贷交易在所有通勤者之间分配利益。我们的结果表明,在评估可交易信贷计划的效率时,重要的是要考虑通勤者的异质性。进行了数值实验,以检查可交易信贷计划设计对各种系统参数的敏感性。

著录项

  • 作者

    Xiao LL; Huang HJ; Liu R;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 en
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