脆弱性(计算)
计算机科学
脆弱性评估
排名(信息检索)
网络分析
运输工程
计算机安全
工程类
人工智能
心理学
电气工程
心理弹性
心理治疗师
作者
Lei Jin,Haizhong Wang,Binglei Xie,Le Yu,Lin Liu
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2017-11-27
卷期号:12 (11): e0188790-e0188790
被引量:6
标识
DOI:10.1371/journal.pone.0188790
摘要
Aiming at the dense urban road network vulnerability without structural negative consequences, this paper proposes a novel non-structural road network vulnerability analysis framework. Three aspects of the framework are mainly described: (i) the rationality of non-structural road network vulnerability, (ii) the metrics for negative consequences accounting for variant road conditions, and (iii) the introduction of a new vulnerability index based on user exposure. Based on the proposed methodology, a case study in the Sioux Falls network which was usually threatened by regular heavy snow during wintertime is detailedly discussed. The vulnerability ranking of links of Sioux Falls network with respect to heavy snow scenario is identified. As a result of non-structural consequences accompanied by conceivable degeneration of network, there are significant increases in generalized travel time costs which are measurements for "emotionally hurt" of topological road network.
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