A suite of methods for representing activity space in a healthcare accessibility study

被引:203
作者
Sherman J.E. [1 ]
Spencer J. [2 ]
Preisser J.S. [3 ]
Gesler W.M. [1 ]
Arcury T.A. [4 ]
机构
[1] Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC
[2] Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
[3] Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
[4] Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston Salem, NC
关键词
Geographic Information System; Travel Time; Road Network; Activity Space; Activity Destination;
D O I
10.1186/1476-072X-4-24
中图分类号
学科分类号
摘要
Background: "Activity space" has been used to examine how people's habitual movements interact with their environment, and can be used to examine accessibility to healthcare opportunities. Traditionally, the standard deviational ellipse (SDE), a Euclidean measure, has been used to represent activity space. We describe the construction and application of the SDE at one and two standard deviations, and three additional network-based measures of activity space using common tools in GIS: the road network buffer (RNB), the 30-minute standard travel time polygon (STT), and the relative travel time polygon (RTT). We compare the theoretical and methodological assumptions of each measure, and evaluate the measures by examining access to primary care services, using data from western North Carolina. Results: Individual accessibility is defined as the availability of healthcare opportunities within that individual's activity space. Access is influenced by the shape and area of an individual's activity space, the spatial distribution of opportunities, and by the spatial structures that constrain and direct movement through space; the shape and area of the activity space is partly a product of how it is conceptualized and measured. Network-derived measures improve upon the SDE by incorporating the spatial structures (roads) that channel movement. The area of the STT is primarily influenced by the location of a respondent's residence within the road network hierarchy, with residents living near primary roads having the largest activity spaces. The RNB was most descriptive of actual opportunities and can be used to examine bypassing. The area of the RTT had the strongest correlation with a healthcare destination being located inside the activity space. Conclusions: The availability of geospatial technologies and data create multiple options for representing and operationalizing the construct of activity space. Each approach has its strengths and limitations, and presents a different view of accessibility. While the choice of method ultimately lies in the research question, interpretation of results must consider the interrelated issues of method, representation, and application. Triangulation aids this interpretation and provides a more complete and nuanced understanding of accessibility. © 2005 Sherman et al., licensee BioMed Central Ltd.
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页数:59
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[1]  
Fryer G.E., Drisko J., Krugman R.D., Vojir C.P., Prochazka A., Miller M.E., Multi-method assessment of access to primary medical care in rural Colorado, J. Rural Health, 15, pp. 113-121, (1999)
[2]  
Fortney J., Rost K., Warren J., Comparing alternative methods of measuring geographic access to health services, Health Serv. Outcome Res. Meth., 1, pp. 173-184, (2000)
[3]  
Parker E.B., Campbell J.L., Measuring access to primary medical care: Some examples of the use of geographical information systems, Health Place, 4, pp. 183-193, (1998)
[4]  
Gesler W.M., Albert D.P., How spatial analysis can be used in medical geography, Spatial Analysis, GIS and Remote Sensing Applications in the Health Sciences, pp. 11-38, (2000)
[5]  
Yuill R.S., The standard deviational ellipse: An updated tool for spatial description, Geogr. Ann., 53 B, pp. 28-39, (1971)
[6]  
Shannon G.W., Spurlock C.W., Urban ecological containers, environmental risk cells, and the use of medical services, Econ. Geogr., 52, pp. 171-180, (1976)
[7]  
Gesler W.M., Meade M.S., Locational and population factors in health care-seeking behavior in Savannah, Georgia, Health Serv. Res., 23, pp. 443-462, (1988)
[8]  
Mey M.G., Ter Heide H., Towards spatiotemporal planning: Practicable analysis of day-to-day paths through space and time, Environ. Plan B, 24, pp. 709-723, (1997)
[9]  
Kwan M.P., Gender and individual access to urban opportunities: A study using space-time measures, Prof. Geogr., 51, pp. 211-227, (1999)
[10]  
Kwan M.P., Space-time and integral measures of individual accessibility: A comparative analysis using a point-based framework, Geogr. Anal., 30, pp. 191-217, (1998)