Using geographic information systems to assess community-level vulnerability to housing insecurity in rural areas.
Using geographic information systems to assess community-level vulnerability to housing insecurity in rural areas.
复制标题
利用地理信息系统评估农村地区社区层面住房不安全的脆弱性。
DOI：
10.1002/jcop.22589
复制
发表时间：
2021
影响因子：
2.3
通讯作者：
Jennifer Martin
中科院分区：
文献类型：
--
作者：
Kristen D Gleason;Matthew P. Dube;Elizabeth Bernier;Jennifer Martin
调查农村地区无家可归者的研究一直很少。目前的研究旨在通过绘制与住房不安全有关的社区一级风险因素图来扩大农村无家可归者的概念。利用地理信息系统(地理信息系统)技术绘制缅因州选定的社区一级风险指标的分布图。与这一过程相关的三种方法选择：(1)住房不安全风险指标的选择和分配；(2)区位商的使用；(3)空间滞后的使用。在对照无家可归者服务支助的地点审查和绘制了选定的风险因素后，缅因州的四个地区被确定为住房不安全的关切社区。更好地了解资源匮乏的高需求地区的范围和位置，可以帮助服务和供资机构规划更有效率和更有效地分配无家可归者预防和缓解服务。讨论了对农村地区研究的影响。
Research examining homelessness in rural areas has been sparse. The current study aims to expand conceptions of rural homelessness by mapping community-level risk factors related to housing insecurity. Geographic information systems (GIS) techniques were used to map the distribution of select community-level risk indicators in the State of Maine. Three methodological choices related to this process are demonstrated: (1) selection and distribution of housing insecurity risk indicators; (2) use of location quotients; and (3) use of spatial lags. After examining and mapping selected risk factors against the location of homeless service supports, four areas in Maine were identified as communities of concern for housing insecurity. Better understanding the extent and location of areas of high need that are resource poor can help service and funding agencies to plan for the more efficient and effective distribution of homeless prevention and mitigation services. Implications for research in rural areas are discussed.