TY - JOUR
T1 - Built environment in local relation with walking: Why here and not there?
AU - Feuillet, Thierry
AU - Salze, Paul
AU - Charreire, Hélène
AU - Menai, Mehdi
AU - Enaux, Christophe
AU - Perchoux, Camille
AU - Hess, Franck
AU - Kesse-Guyot, Emmanuelle
AU - Hercberg, Serge
AU - Simon, Chantal
AU - Weber, Christiane
AU - Oppert, Jean Michel
PY - 2016/12/1
Y1 - 2016/12/1
N2 - 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.
AB - 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.
KW - Active mobility
KW - Contextual effect
KW - Discriminant analysis
KW - Geographically weighted regression
KW - Spatial nonstationarity
UR - https://www.mendeley.com/catalogue/e905a3b3-b1d1-3778-8ebb-bb2cc6146d53/
U2 - 10.1016/j.jth.2015.12.004
DO - 10.1016/j.jth.2015.12.004
M3 - Article
SN - 2214-1405
VL - 3
SP - 500
EP - 512
JO - Journal of Transport and Health
JF - Journal of Transport and Health
IS - 4
ER -