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Multi-criteria spatial decision support system for identifying strategic roads in disaster situations
International Journal of Critical Infrastructure Protection ( IF 3.6 ) Pub Date : 2018-10-31 , DOI: 10.1016/j.ijcip.2018.10.004
Seyed Morsal Ghavami

A road transportation network has an important role in the management of disaster situations. Despite its' vulnerability to disasters, it helps to provide emergency responses to disaster management practices. Therefore it is required to identify the most important roads in the network in order to support decision-makers to make appropriate decisions about the roads.

This paper introduces an integrated methodology to evaluate the transportation network performance (TNP) in disaster situations by developing a multi-criteria spatial decision support system (MC-SDSS). The developed MC-SDSS is a fully integrated system of Geospatial Information System (GIS) and Multi-Criteria Decision Making (MCDM) methods. On the one hand, GIS functionalities are used for storing the data, performing the analyses in order to produce the required criteria and displaying the results. On the other hand, AHP as a well-known MCDM method is used to receive priorities and preferences of decision-makers about the criteria.

Based on the decision-making model (intelligent, design, and choice), four criteria are selected as indicators for evaluating the TNP in disaster situations: capacity, accessibility, vulnerability, and importance criteria. In this regard, criteria maps are generated by GIS tools, the experts' preferences about the criteria are acquired by AHP comparison matrix, and a ranking of the roads are prepared and visualized on the MC-SDSS. Finally, by utilizing the One-At-Time approach as the sensitivity analysis method, MC-SDSS tries to determine the robustness of the results due to the variation or uncertainty resulting from changing the important scales of the criteria in the AHP pairwise comparison matrix.

The results show that about 9, 33, 20, and 38% of the roads are very high, high, moderate, and low strategic in the case study (Mazandaran province, Iran) respectively. It also shows that capacity/accessibility pairwise comparison is the most sensitive comparison in the AHP comparison matrix.



中文翻译:

用于确定灾害情况下战略道路的多标准空间决策支持系统

公路运输网络在灾害情况管理中具有重要作用。尽管它易受灾难的影响,但它有助于对灾难管理实践提供紧急响应。因此,需要确定网络中最重要的道路,以支持决策者对道路做出适当的决策。

本文介绍了一种通过开发多标准空间决策支持系统(MC-SDSS)来评估灾害情况下的运输网络性能(TNP)的集成方法。开发的MC-SDSS是地理空间信息系统(GIS)和多准则决策(MCDM)方法的完全集成的系统。一方面,GIS功能用于存储数据,执行分析以产生所需的标准并显示结果。另一方面,AHP是一种众所周知的MCDM方法,用于接收决策者对该标准的优先级和偏好。

基于决策模型(智能,设计和选择),选择了四个标准作为评估灾难情况下TNP的指标:能力,可及性,脆弱性和重要性标准。在这方面,通过GIS工具生成标准地图,通过AHP比较矩阵获取专家对标准的偏爱,并在MC-SDSS上准备和显示道路等级。最后,通过使用“一次性”方法作为灵敏度分析方法,MC-SDSS尝试确定由于AHP成对比较矩阵中准则的重要尺度发生变化而引起的变化或不确定性而导致的结果的鲁棒性。

结果表明,在案例研究中(伊朗马赞达兰省),分别有约9%,33%,20%和38%的道路具有非常高的战略性。它还显示容量/可访问性成对比较是AHP比较矩阵中最敏感的比较。

更新日期:2018-10-31
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