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Capturing Bonding, Bridging, and Linking Social Capital through Publicly Available Data
Risk, Hazards & Crisis in Public Policy Pub Date : 2019-12-06 , DOI: 10.1002/rhc3.12183
Dean Kyne , Daniel P. Aldrich

A growing body of research has illuminated the powerful role played by social capital in influencing disaster and resilience outcomes. Popular vulnerability mapping frameworks, while well suited for capturing demographic characteristics such as age, race, and wealth, do not include sufficient proxies for social capital. This article proposes a concrete way to measure bonding, bridging, and linking social capital using widely available information. Our social capital index (SoCI) uses 19 indicators from publicly available U.S. census and Environmental Systems Research Institute (ESRI) data for all counties across the contiguous United States. We demonstrate broad variations in the SoCI Index by mapping counties across the continental North America. Validity tests indicate outcomes similar or superior to other approaches such as the Baseline Resilience Indicators for Communities (BRIC) and the Social Vulnerability Index (SoVI). Our new mapping framework provides a more focused way for disaster managers, scholars, and local residents to understand how communities could cope with future disasters based on levels of social ties and cohesion.

中文翻译:

通过公开可用的数据捕获绑定,桥接和链接社会资本

越来越多的研究阐明了社会资本在影响灾难和复原力结果中所起的强大作用。流行的漏洞映射框架虽然非常适合捕获年龄,种族和财富等人口统计特征,但并未包含足够的社会资本代理。本文提出了一种使用广泛可用的信息来衡量社会资本之间的联系,桥接和联系的具体方法。我们的社会资本指数(SoCI)使用了来自美国连续普查的美国人口普查和环境系统研究所(ESRI)数据中的19个指标,该指标适用于整个美国连续的县。我们通过绘制北美大陆各县的地图来显示SoCI指数的广泛差异。有效性测试表明结果类似于或优于其他方法,例如社区基准抗灾力指标(BRIC)和社会脆弱性指数(SoVI)。我们新的制图框架为灾难管理人员,学者和当地居民提供了一种更具针对性的方式,以了解社区如何根据社会纽带和凝聚力来应对未来的灾难。
更新日期:2019-12-06
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