A user exposure based approach for non-structural road network vulnerability analysis

PLoS One. 2017 Nov 27;12(11):e0188790. doi: 10.1371/journal.pone.0188790. eCollection 2017.

Abstract

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.

MeSH terms

  • Climate
  • Models, Theoretical*
  • Snow
  • South Dakota
  • Transportation*

Grants and funding

This research is supported in part by the National Natural Science Foundation of China (Grant #71473060). One of the authors (BX) received the funding. One of the authors BX (Binglei Xie) with his received funding played a role in project administration, supervision, validation and decision to publish. The URL of this funder’s website is http://www.nsfc.gov.cn/. This research is supported in part by the National Science Foundation (NSF) of the United States (Grant #1563618). One of the authors (HW) received the funding. One of the authors HW (Haizhong Wang) with his received funding played a role in supervision, validation, writing – review & editing and decision to publish. The URLs of this funder’s website is https://www.nsf.gov/awardsearch. This research is supported in part by the Ministry of Education Humanities and Social Sciences Project (Grant #16YJE630003). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The URLs of this funder’s website is https://xm.sinoss.net/indexAction!to_index.action. This research is supported in part by the Basic Research Program of Shenzhen (Grant #JCYJ20150403161923544). One of the authors (BX) received the funding. One of the authors BX (Binglei Xie) with his received funding played a role in project administration, supervision, validation and decision to publish. The URLs of this funder’s website is http://www.szsti.gov.cn/.