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Identifying critical corridors during an area-wide disruption by evaluating network bottleneck capacity
International Journal of Disaster Risk Reduction ( IF 5 ) Pub Date : 2021-07-24 , DOI: 10.1016/j.ijdrr.2021.102487
Sabrena Jahan Ohi 1 , Amy M. Kim 1, 2
Affiliation  

This paper applies the min-cut max-flow theorem combined with a grid cell disruption method over a large transportation network, to identify the importance of network locations in providing travel capacity when a community is evacuating (say, from wildfire). We develop metrices that look at the importance and contribution of individual links to network bottleneck capacity in traveling from the evacuating community to the shelter community. The purpose of this is to determine the network location that is the most restrictive of all, and more importantly, where it is in reference to the evacuating community location. We apply this method to the highway network of Alberta, Canada, with evacuating communities identified as those that have been under wildfire threat historically and/or are expected to in the future. We find that in all cases, network locations that contribute the greatest share of bottleneck capacity, are located adjacent to these evacuating communities. Next, we look at combining the measure for several communities, finding that the highways in remote northern Alberta are important despite some of them having lower capacity than the multi-lane highways in the south. Application of this simple method can support provincial and local municipal governments in deciding which communities require more detailed emergency evacuation studies to better identify and communicate transportation network deficiencies to provincial and federal bodies that would be making infrastructure investments towards community health and resilience.



中文翻译:

通过评估网络瓶颈容量来确定区域范围中断期间的关键走廊

本文在大型交通网络上应用最小割最大流定理与网格单元破坏方法相结合,以确定当社区正在撤离(例如,从野火中)时网络位置在提供旅行能力方面的重要性。我们制定了衡量从疏散社区到避难所社区旅行中各个链接对网络瓶颈容量的重要性和贡献的指标。这样做的目的是确定最受限制的网络位置,更重要的是,确定它相对于撤离社区位置的位置。我们将这种方法应用于加拿大艾伯塔省的高速公路网络,疏散社区被确定为历史上和/或预计将来会受到野火威胁的社区。我们发现,在所有情况下,占瓶颈容量最大份额的网络位置位于这些疏散社区附近。接下来,我们将结合几个社区的措施,发现艾伯塔省北部偏远的高速公路很重要,尽管其中一些高速公路的容量低于南部的多车道高速公路。这种简单方法的应用可以支持省和地方政府决定哪些社区需要更详细的紧急疏散研究,以更好地识别交通网络缺陷并将其传达给省和联邦机构,这些机构将对社区健康和复原力进行基础设施投资。我们考虑将多个社区的措施结合起来,发现艾伯塔省北部偏远的高速公路很重要,尽管其中一些高速公路的容量低于南部的多车道高速公路。这种简单方法的应用可以支持省和地方政府决定哪些社区需要更详细的紧急疏散研究,以更好地识别交通网络缺陷并将其传达给省和联邦机构,这些机构将对社区健康和复原力进行基础设施投资。我们考虑将多个社区的措施结合起来,发现艾伯塔省北部偏远的高速公路很重要,尽管其中一些高速公路的容量低于南部的多车道高速公路。这种简单方法的应用可以支持省和地方政府决定哪些社区需要进行更详细的紧急疏散研究,以便更好地识别交通网络缺陷并将其传达给省和联邦机构,这些机构将对社区健康和复原力进行基础设施投资。

更新日期:2021-07-27
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