Impact of topology and congestion on link criticality rankings in transportation networks

被引：24

作者：

Almotahari, Amirmasoud ^{[1
]}

Yazici, Anil ^{[2
]}

机构：

[1] SUNY Stony Brook, Dept Civil Engn, 1208 Comp Sci, Stony Brook, NY 11794 USA

[2] SUNY Stony Brook, Dept Civil Engn, 2425 Comp Sci, Stony Brook, NY 11794 USA

来源：

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT | 2020年 / 87卷

关键词：

Criticality; Vulnerability; Kemeny-Young Method; Spearman coefficient; Classification tree; VULNERABILITY ANALYSIS; ROBUSTNESS ASSESSMENT; CAPACITY-REDUCTION; ISOLATING LINKS; ROAD NETWORKS; RESILIENCE; RAIL;

D O I：

10.1016/j.trd.2020.102529

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Due to the lack of ground truth on the link criticality rankings of transportation networks, it is not possible to identify the most accurate metric. While several studies provide reviews of the existing criticality metrics, the consistencies of calculated rankings by these metrics are yet to be explored. In this paper, link criticality rankings with five different metrics are compared under 150 test networks of different network topologies and congestion levels. Accordingly, the consensus metric that provides a ranking that is closest to the aggregate ranking is identified for each test network. The results show transportation network efficiency metric is the most frequent consensus metric and link flow can serve as proxy for criticality analysis under certain network characteristics. The level of congestion and network transitivity are the most important features to determine the consensus metric. The proposed framework is then tested on Sioux Falls, Eastern Massachusetts, and Anaheim networks.

引用

页数：15

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