The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Spatial Decompositions, Modeling and Mapping Service Regions to Predict Access to Social Programs
Abstract
Although social programs intend to provide equal access for all, in the final evaluation, fairness of the distribution of services is usually dictated by location. Measuring and predicting access to social services can help these programs adjust and better accommodate under-served regions. A method is proposed which delineates the service area of providers delivering social services and produces a probability metric that maps the equity of the program of services for each household. We begin with a computationally trivial method for delineating service areas, map the probability of households being served, and propose an adjustment process, an allocation, to level access to services. We argue such methods can serve to better locate service providers and insure equity when implementing social programs.
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Cites
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Watson, D. (1993) · Computers & Geosciences · doi:10.1016/0098-3004(93)90024-y · Cited by 574
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Cited by
Wang, F., & Luo, W. (2005) · Health & Place · doi:10.1016/j.healthplace.2004.02.003 · Cited by 664
A three-step floating catchment area method for analyzing spatial access to health services
Wan, N., Zou, B., & Sternberg, T. (2012) · International Journal of Geographical Information Science · doi:10.1080/13658816.2011.624987 · Cited by 473
McGrail, M. R., & Humphreys, J. S. (2009) · Applied Geography · doi:10.1016/j.apgeog.2008.12.003 · Cited by 444
Comparing GIS-Based Methods of Measuring Spatial Accessibility to Health Services
Yang, D.-H., Goerge, R., & Mullner, R. (2006) · Journal of Medical Systems · doi:10.1007/s10916-006-7400-5 · Cited by 358
Smith, C. W., Kreitzer, R. J., Kane, K. A., & Saunders, T. M. (2022) · Politics & Gender · doi:10.1017/s1743923x2100009x · Cited by 25
Metadata
- Authors
- Radke, J., & Mu, L.
- Venue
- Annals of GIS
- Publisher
- Informa UK Limited
- Published
- 2000-12
- Volume
- 6
- Issue
- 2
- Pages
- 105-112
- ISSN
- 1082-4006 (ISSN-L)
- 1947-5683
- 1947-5691
- OpenAlex
- W2057161818
- Cited by
- 455
- References
- 13
- FWCI
- 3.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Radke, J., & Mu, L. (2000). Spatial Decompositions, Modeling and Mapping Service Regions to Predict Access to Social Programs. Annals of GIS. https://doi.org/10.1080/10824000009480538
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
