Moradi Saeed, Vasandani Viren, Nejat Ali
PhD Candidate, Department of Civil, Environmental, and Construction Engineering, Texas Tech University, Lubbock, Texas.
BS Student, Department of Biological Sciences, Texas Tech University, Lubbock, Texas.
J Emerg Manag. 2019 Sep/Oct;17(5):403-432. doi: 10.5055/jem.2019.0431.
The increasing impacts of disasters, caused by more frequent extreme events coupled with the growth of adverse anthropogenic activities, has raised the importance of fostering more resilient communities. Measuring resilience is a vital step in the process of building and strengthening a community's resilience as it helps with identifying the priorities and monitoring the progress. The objective of the current research is to catalog variables proposed in the literature as measures of households' resilience to disasters. Searching the literature through content analysis and applying three selection criteria resulted in a list of 149 variables. These criteria required the variables to be influential on disaster resilience of households, to be quantitatively measurable, and to be obtainable from publicly available data sources. Additionally, a selection of resilience and vulnerability assessment models suggested in the literature were reviewed to highlight the importance of resilience variables in addressing their planned objectives. The variables were classified into five categories titled demographic, socioeconomic, infrastructural, environmental, and institutional. Further analysis of the variables led to identification of the most prevalent variables and commonalities among the categories, aimed to provide a more integrated approach toward resilience planning. This research can serve as an initial yet relatively extensive inventory for selecting variables that are deemed to be influential on households' resilience to extreme events. Further, quantifying a community's resilience using resilience variables can help with identifying and prioritizing the resilience needs, monitoring the progress, and justifying the costs of resilience programs.
由更频繁的极端事件以及有害人类活动的增加所导致的灾害影响不断加剧,这凸显了培育更具韧性的社区的重要性。衡量韧性是建设和增强社区韧性过程中的关键一步,因为它有助于确定优先事项并监测进展情况。当前研究的目的是梳理文献中提出的作为家庭灾害韧性衡量指标的变量。通过内容分析检索文献并应用三个选择标准,得出了一份包含149个变量的清单。这些标准要求变量对家庭的灾害韧性有影响、可进行定量测量且可从公开可用的数据源获取。此外,还对文献中建议的一系列韧性和脆弱性评估模型进行了综述,以突出韧性变量在实现其预定目标方面的重要性。这些变量被分为五类,即人口、社会经济、基础设施、环境和制度。对这些变量的进一步分析导致确定了最普遍的变量以及各类别之间的共性,旨在为韧性规划提供一种更综合的方法。这项研究可作为一份初步但相对全面的清单,用于选择被认为对家庭应对极端事件的韧性有影响的变量。此外,使用韧性变量量化社区的韧性有助于确定韧性需求并确定其优先顺序、监测进展情况以及证明韧性项目的成本合理性。