Transportation network redundancy: Complementary measures and computational methods
Transportation network redundancy: Complementary measures and computational methods
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DOI：
10.1016/j.trb.2018.05.014
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发表时间：
2018-08
期刊：
影响因子：
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通讯作者：
Xiangdong Xu;A. Chen;Sarawut Jansuwan;Chao Yang;S. Ryu
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文献类型：
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作者：
Xiangdong Xu;A. Chen;Sarawut Jansuwan;Chao Yang;S. Ryu
冗余对于交通网络在灾难性事件期间为用户提供效用至关重要。在本文中，我们提出了两个基于网络的指标来系统地表征交通网络的冗余性：出行选择多样性和网络闲置容量。具体地说，新的替代多样性维度是评估出行者是否存在多种模式和有效路线，或特定始发地-目的地对之间的有效连接数量。网络剩余容量维度是在明确考虑出行者的出行方式和路径选择行为以及拥堵效应的基础上，量化网络范围内的剩余容量。他们可以解决灾前交通系统评估和规划中的两个基本问题，即“在正常或中断事件中，有多少有效的冗余替代方案供出行者选择？”以及“网络的冗余容量有多大？”为了在实际中实施这两种措施，给出了评估网络冗余度的计算方法。文中还给出了数值算例，说明了这两种冗余度的特点和计算方法的适用性。分析结果表明，这两种方法从不同角度对网络冗余度有不同的表征，可以相辅相成，为出行者和规划者提供有意义的信息。
Redundancy is vital for transportation networks to provide utility to users during disastrous events. In this paper, we develop two network-based measures for systematically characterizing the redundancy of transportation networks: travel alternative diversity and network spare capacity. Specifically, thetravel alternative diversity dimensionis to evaluate the existence of multiple modes and effective routes available fortravelersor the number of effective connections between a specific origin-destination pair. Thenetwork spare capacity dimensionis to quantify thenetwork-wideresidual capacity with an explicit consideration of travelers’ mode and route choice behaviors as well as congestion effect. They can address two fundamental questions in the pre-disaster transportation system evaluation and planning, i.e., "how many effective redundant alternatives are there for travelers in the normal or disruptive event?" and "how much redundant capacity does the network have?" To implement the two measures in practice, computational methods are provided to evaluate the network redundancy. Numerical examples are also presented to demonstrate the features of the two redundancy measures as well as the applicability of the computational methods. The analysis results reveal that the two measures have different characterizations on network redundancy from different perspectives, and they can complement each other by providing meaningful information to both travelers and planners.