Built environment in local relation with walking: Why here and not there?

Thierry Feuillet, Paul Salze, Hélène Charreire, Mehdi Menai, Christophe Enaux, Camille Perchoux, Franck Hess, Emmanuelle Kesse-Guyot, Serge Hercberg, Chantal Simon, Christiane Weber, Jean Michel Oppert

Research output: Contribution to journalArticlepeer-review

Abstract

Walking, as both a major mode of transport and the most common form of every-day physical activity, deserves further attention in health-related transportation studies. In this paper, we focused on the built environmental correlates of walking for errands and leisure in a sample of 4979 adults (Paris, France) through a cross-sectional study based on an internet survey. The main aims were (i) to delineate places with contrasting relationships between the built environment and walking, using geographically weighted regression models and (ii) to determine what differentiated the contexts we uncovered, in terms of both environmental and individual characteristics, using canonical discriminant analyses. Our results showed that the spatial heterogeneity of relationships between walking and the built environment occurred across the entire studied area and concerned the two walking outcomes, with odds-ratios (ORs) ranging from 1.01 to 1.31 and from 1.07 to 1.35 for walking for errands and leisure, respectively. We suggest that the spatial patterning of convergent relationships is due to contextual effects, i.e., the effect of places with specific intrinsic arrangement of environmental and individual features. Data-driven identification of local contexts should be a key step in future contextual analyses of walking and health-related outcomes.
Original languageEnglish
Pages (from-to)500-512
Number of pages13
JournalJournal of Transport and Health
Volume3
Issue number4
DOIs
Publication statusPublished - 1 Dec 2016
Externally publishedYes

Keywords

  • Active mobility
  • Contextual effect
  • Discriminant analysis
  • Geographically weighted regression
  • Spatial nonstationarity

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