@article{ref1,
title="Intelligent method for evaluating percolation robustness of hazardous materials transportation network",
journal="China safety science journal (CSSJ)",
year="2019",
author="Hu, P. and Shuai, B. and Wu, Z.",
volume="29",
number="2",
pages="57-62",
abstract="For the sake of effectively evaluating the robustness of HMTN and scientifically managing the transportation of hazmat, an intelligent method was developed for evaluating the percolation robustness of HMTN. Based on the reality, a simulating identification model was built according to considering the topology structure of network, the node / edge percolation degree, the transferring ration of traffic flow, and the loading limitation. The network percolation robustness was measured by dynamic identifying the proportion of the number of giant cluster nodes to the total of nodes, and an optimization algorithm was worked out. The method was applied to Zhangjiagang HMTN. The results show that there is an inversely proportional relationship between the scale of emergency accident and network percolation robustness, and there is a directly proportional relationship between loading limitation and percolation robustness, and that under the same parameters condition, the effect of an node emergency incident is greater than that of an edge emergency incident, and that providing greater rescue resources helps to prevent edge emergency incidents. © 2019 China Safety Science Journal. All rights reserved.<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2019.02.010",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2019.02.010"
}