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Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction
Paul Salze1, Arnaud Banos, Jean-Michel Oppert
1Université de Strasbourg; Image, Ville, Environnement, Strasbourg, France. paul.salze@live-cnrs.unistra.fr
International Journal of Health Geographics
|January 12, 2011
Summary
New spatial accessibility models reveal how proximity to food and sport facilities impacts health behaviors. These models offer a more accurate view of accessibility, especially for commuters in rural areas, aiding public health policy.
Area of Science:
- Environmental Health
- Urban Planning
- Spatial Analysis
Background:
- Growing interest in linking health behaviors (diet, physical activity) with spatial accessibility to relevant facilities (food, sports).
- Current accessibility indices often use limited neighborhood-based data.
Purpose of the Study:
- Propose regional-scale spatial accessibility measurements using aggregated data.
- Develop a potential accessibility model to overcome limitations of existing indices.
- Extend the model to include home and work-based accessibility for commuters.
Main Methods:
- Utilized a potential accessibility model.
- Developed an extended model incorporating residential and non-residential environmental features.
- Analyzed aggregated data on a regional scale.
Main Results:
- Potential accessibility models provide a different perspective compared to traditional "opportunities per census tract" indices.
- The extended commuter model generally increased accessibility, with notable gains in rural areas with previously low access.
- Distance to urban centers significantly influenced accessibility levels.
Conclusions:
- Accessibility is multi-dimensional, requiring integration of travel behavior.
- Appropriate accessibility indices must consider both residential and non-residential environments.
- These models can inform public health policy-making.
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