Using geographic information systems to assess community‐level vulnerability to housing insecurity in rural areas
Bibliographic Data
| ID | 11044338 |
|---|---|
| Authors | Kristen D Gleason (0000-0002-7854-7351, Department of Psychology University of Southern Maine Portland Maine USA, corresponding author), Matthew Dube (Department of Computer Information Systems and Data Science University of Maine at Augusta Augusta Maine USA), Matthew P Dube (0000-0002-7104-9982, University of Maine at Augusta), Elizabeth Bernier (0000-0001-9711-9208, Department of Psychology University of Southern Maine Portland Maine USA), Jennifer Martins (0000-0001-7915-3138, Department of Psychology University of Southern Maine Portland Maine USA), Jennifer Martin (0000-0002-7400-8916, University of Southern Maine) |
| Year | 2022 |
| Volume | 50 |
| Issue | 4 |
| Pages | 1993-2012 |
| Publication date | 2022-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Community Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0090-4392 • E-ISSN: 1520-6629 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/jcop.22589 |
| PMID | 33969506 |
| OpenAlex | W3161961744 |
| Language | EN |
| Citations received | 3 |
| References cited | 31 |
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
Business · Cartography · Computer security · Distribution (mathematics) · Economic growth · Economics · Environmental planning · Environmental resource management · Geographic information system · Geography · Plan (archaeology) · Political science · Resource (disambiguation) · Rural area · Service (business) · Socioeconomics · Sociology · Vulnerability (computing) · Computer Science · Food Security and Health in Diverse Populations · Homelessness and Social Issues · Housing, Finance, and Neoliberalism · Marketing
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| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |