Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model. Int J Health Geogr

Université de Strasbourg
International Journal of Health Geographics (Impact Factor: 2.62). 01/2011; 10(1):2. DOI: 10.1186/1476-072X-10-2
Source: PubMed


There is growing interest in the study of the relationships between individual health-related behaviours (e.g. food intake and physical activity) and measurements of spatial accessibility to the associated facilities (e.g. food outlets and sport facilities). The aim of this study is to propose measurements of spatial accessibility to facilities on the regional scale, using aggregated data. We first used a potential accessibility model that partly makes it possible to overcome the limitations of the most frequently used indices such as the count of opportunities within a given neighbourhood. We then propose an extended model in order to take into account both home and work-based accessibility for a commuting population.
Potential accessibility estimation provides a very different picture of the accessibility levels experienced by the population than the more classical "number of opportunities per census tract" index. The extended model for commuters increases the overall accessibility levels but this increase differs according to the urbanisation level. Strongest increases are observed in some rural municipalities with initial low accessibility levels. Distance to major urban poles seems to play an essential role.
Accessibility is a multi-dimensional concept that should integrate some aspects of travel behaviour. Our work supports the evidence that the choice of appropriate accessibility indices including both residential and non-residential environmental features is necessary. Such models have potential implications for providing relevant information to policy-makers in the field of public health.

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Available from: Christiane Weber, Aug 11, 2015
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    • "Most studies regarding accessibility and access time to various territorial infrastructures (Sherman, 2005, pp.24 -46, Gu, 2010, p. 17, Munoz, 2012, pp. 40 -50, Salze, 2011, p. 2) rely on vectorial models of analysis and representation of spatial reality as their work foundations. These types of models can only be used in for identifying access time between different punctual locations connected through networks (roads) of vector type. "
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    ABSTRACT: The Evaluation of Accessibility to Hospital Infrastructure at Regional Scale by Using GIS Space Analysis Models: the NorthWest Region, Romania. Easy access of the population to hospital infrastructure represents one of the main preoccupations of local and national authorities in the attempt to increase the degree of deliverance of quality medical services. The analysis of territorial distribution of various hospital categories-city, clinical, teaching, emergency hospitals-has revealed some areas of deficit in what regards the availability of various types of medical assistance. Identifying the areas of deficit from the point of view of accessibility to hospital infrastructure is carried out by means of a GIS model of space analysis (Cost Surface Modeling type) based on the calculation of access time from any location in the territory to the nearest hospital taking into consideration the vector databases (access ways, hospitals etc.), assignment (speed of motion on access ways, hospital type) and raster (access time).
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    • "The individual spatial, economic, social, and transportation contexts of residents in these spatial units encourage or dissuade them from maintaining healthy diets, making it difficult to decisively consider the entire area as being with or without access. A second related reason is that most food desert metrics, with the notable exceptions of recent research by Horner and Wood (2014), Widener et al. (2013, 2011), and Salze et al. (2011), consider the urban environment to be static. However, cities are very dynamic systems. "
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    • "Wang also notes [26], the main debate centres on what are reasonable catchment area sizes for general practitioner services, but that the debate as to what is the right size for catchment areas cannot be settled without real world data. Other studies [75,76,81,82,84-86] have explored a range of measures using GIS methods at the regional or larger scale to develop stronger evidence based methods to assist in health planning. "
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