首页> 外文会议>12th Americas Conference on Information Systems(AMCIS 2006) vol.3 >Identifying Florida's 'At-Risk' Populations for Disaster Management Purposes: A Case Study and Research Framework
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Identifying Florida's 'At-Risk' Populations for Disaster Management Purposes: A Case Study and Research Framework

机译:确定用于灾害管理目的的佛罗里达“危险人群”:一个案例研究框架

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This purpose of this research is to present a framework for the development of a spatial decisions support system (SDSS), utilizing geographic information systems (GIS), to identify Florida's at-risk populations, those that are likely to have special requirements for disaster management (DM) purposes. A coastal county in Florida is utilized as a case study in reference to the 2004 hurricane season. Florida provides an ideal case study as it has a large elderly population and an increasing number of snowbirds, elderly persons residing in Florida during the winter months leaving the state during the summer months. In addition to hurricane track files, spatial and non-spatial data from a variety of sources, including the U.S. Census, the Florida Geographic Data Library (FGDL), Florida Water Management Districts, County Health Departments, and the Comprehensive Assessment for Tracking Community Health (CATCH) data warehouse, will be utilized for model building and validation.
机译:本研究的目的是提供一个利用地理信息系统(GIS)开发空间决策支持系统(SDSS)的框架,以识别佛罗里达的高危人群,这些人群可能对灾害管理有特殊要求(DM)目的。以佛罗里达州的一个沿海县为例,以2004年飓风季节为参考。佛罗里达州是一个理想的案例研究,因为它有大量的老年人口和越来越多的雪鸟,老年人在冬季居住在佛罗里达州,而在夏季则离开州。除了飓风跟踪文件外,还包括来自各种来源的空间和非空间数据,包括美国人口普查,佛罗里达州地理数据库(FGDL),佛罗里达州水管理区,县卫生部门以及跟踪社区健康的综合评估(CATCH)数据仓库,将用于模型构建和验证。

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