Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model

<p>Abstract</p> <p>Background</p> <p>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 outle...

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Main Authors: Charreire Hélène, Oppert Jean-Michel, Banos Arnaud, Salze Paul, Casey Romain, Simon Chantal, Chaix Basile, Badariotti Dominique, Weber Christiane
Format: Article
Language:English
Published: BMC 2011-01-01
Series:International Journal of Health Geographics
Online Access:http://www.ij-healthgeographics.com/content/10/1/2
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author Charreire Hélène
Oppert Jean-Michel
Banos Arnaud
Salze Paul
Casey Romain
Simon Chantal
Chaix Basile
Badariotti Dominique
Weber Christiane
author_facet Charreire Hélène
Oppert Jean-Michel
Banos Arnaud
Salze Paul
Casey Romain
Simon Chantal
Chaix Basile
Badariotti Dominique
Weber Christiane
author_sort Charreire Hélène
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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.</p>
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spelling doaj.art-39aaa718824c4cf1b54a45c9ea0af1822022-12-22T03:09:35ZengBMCInternational Journal of Health Geographics1476-072X2011-01-01101210.1186/1476-072X-10-2Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential modelCharreire HélèneOppert Jean-MichelBanos ArnaudSalze PaulCasey RomainSimon ChantalChaix BasileBadariotti DominiqueWeber Christiane<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>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.</p>http://www.ij-healthgeographics.com/content/10/1/2
spellingShingle Charreire Hélène
Oppert Jean-Michel
Banos Arnaud
Salze Paul
Casey Romain
Simon Chantal
Chaix Basile
Badariotti Dominique
Weber Christiane
Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model
International Journal of Health Geographics
title Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model
title_full Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model
title_fullStr Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model
title_full_unstemmed Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model
title_short Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model
title_sort estimating spatial accessibility to facilities on the regional scale an extended commuting based interaction potential model
url http://www.ij-healthgeographics.com/content/10/1/2
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