Decomposing geographic accessibility into component parts: methods and an application to hospitals
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While many studies define and measure the geographic accessibility of facilities, research has failed to explain why the accessibility is high or low, except to conjecture that it has to do with (1) the number of facilities or (2) the locations of these facilities. We demonstrate that accessibility may also be low in a region because (3) the transportation network is inefficient or (4) the population distribution is difficult to serve with few facilities. This paper also develops measures for the degree each of these four factors affect accessibility using p-median and GIS techniques. An example is provided using hospital locations in four southern US states.
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- Gould P (1969) Spatial diffusion. Commission on College Geography, Association of American Geographers, Washington, DC, Resource Paper No. 4Google Scholar
- Gruenewald PJ, Millar AB, Treno AJ (1993) Alcohol availability and the ecology of drinking behavior. Alcohol Res Health 17: 39–45Google Scholar
- Johansson B, Leonardi G (1987) Public facility location: a multiregional and multi-authority decision context. In: Nijkamp P (eds) Handbook of regional and urban economics, edn 1, vol 1, Chap 4. Elsevier, Amsterdam, pp 133–170Google Scholar
- Love D, Lindquist P (1995) The geographical accessibility of hospitals to the aged: a GIS analysis within Illinois. HSR Health Serv Res 29: 629–651Google Scholar
- McKay NL, Coventry JA (1995) Access implications of rural hospital closures and conversions. Hosp Health Serv Adm 40: 227–246Google Scholar
- Newhouse JP, Williams AP, Bennett BW, Schwartz WB (1982) The bell. J Econ 13: 493–505Google Scholar