The DOI matches its Crossref record.
Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region
Open accessAbstract
This article synthesizes two GIS-based accessibility measures into one framework, and applies the methods to examining spatial accessibility to primary health care in the Chicago ten-county region. The floating catchment area (FCA) method defines the service area of physicians by a threshold travel time while accounting for the availability of physicians by their surrounded demands. The gravity-based method considers a nearby physician more accessible than a remote one and discounts a physician's availability by a gravity-based potential. The former is a special case of the latter. Based on the 2000 Census and primary care physician data, this research assesses the variation of spatial accessibility to primary care in the Chicago region, and analyzes the sensitivity of results by experimenting with ranges of threshold travel times in the FCA method and travel friction coefficients in the gravity model. The methods may be used to help the US Department of Health and Human Services and state health departments improve designation of Health Professional Shortage Areas.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Apparicio, P., Abdelmajid, M., Riva, M., & Shearmur, R. (2008) · International Journal of Health Geographics · doi:10.1186/1476-072x-7-7 · Cited by 567
Neighbourhoods and potential access to health care: The role of spatial and aspatial factors
Bissonnette, L., Wilson, K., Bell, S., & Shah, T. I. (2012) · Health & Place · doi:10.1016/j.healthplace.2012.03.007 · Cited by 170
Population-based geographic access to endocrinologists in the United States, 2012
Lu, H., Holt, J. B., Cheng, Y. J., Zhang, X., Onufrak, S., & Croft, J. B. (2015) · BMC Health Services Research · doi:10.1186/s12913-015-1185-5 · Cited by 121
Higgs, G., Langford, M., & Norman, P. (2015) · Geoforum · doi:10.1016/j.geoforum.2015.04.010 · Cited by 95
Wang, Q., Jiang, Q., Yang, Y., & Pan, J. (2022) · Journal of Transport & Health · doi:10.1016/j.jth.2022.101353 · Cited by 86
Metadata
- Authors
- Luo, W., & Wang, F.
- Venue
- Environment and Planning B: Planning and Design
- Publisher
- SAGE Publications
- Published
- 2003-12
- Volume
- 30
- Issue
- 6
- Pages
- 865-884
- ISSN
- 0265-8135 (ISSN-L)
- 1472-3417
- OpenAlex
- W2103613143
- Cited by
- 1,789
- References
- 0
- FWCI
- 24.66
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region. https://app.cochat.ai/papers/10.1068/b29120
- The paper
- Luo, W., & Wang, F. (2003). Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region. Environment and Planning B: Planning and Design. https://doi.org/10.1068/b29120
Data sources
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.