A massive geographically weighted regression model of walking-environment relationships
Thierry Feuillet
(1, 2)
,
Hadrien Commenges
(3)
,
M. Menai
(2)
,
P. Salze
(4)
,
C. Perchoux
(5)
,
R. Reuillon
(6)
,
Emmanuelle Kesse-Guyot
(2)
,
C. Enaux
(4)
,
Julie-Anne Nazare
(7)
,
S. Hercberg
(2)
,
Chantal Simon
(7)
,
Hélène Charreire
(8, 2)
,
J.M. Oppert
(9, 2)
1
LADYSS -
Laboratoire Dynamiques Sociales et Recomposition des Espaces
2 CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle
3 GC (UMR_8504) - Géographie-cités
4 LIVE - Laboratoire Image, Ville, Environnement
5 LISER - Luxembourg Institute of Socio-Economic Research
6 ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France
7 CarMeN - Cardiovasculaire, métabolisme, diabétologie et nutrition
8 LAB'URBA - LAB'URBA
9 IHU ICAN - Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière]
2 CRESS - U1153 - Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle
3 GC (UMR_8504) - Géographie-cités
4 LIVE - Laboratoire Image, Ville, Environnement
5 LISER - Luxembourg Institute of Socio-Economic Research
6 ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France
7 CarMeN - Cardiovasculaire, métabolisme, diabétologie et nutrition
8 LAB'URBA - LAB'URBA
9 IHU ICAN - Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière]
Thierry Feuillet
- Fonction : Auteur
- PersonId : 744616
- IdHAL : thierry-feuillet
- ORCID : 0000-0002-5494-538X
- IdRef : 153040610
Hadrien Commenges
- Fonction : Auteur
- PersonId : 5943
- IdHAL : hadrien-commenges
- ORCID : 0000-0003-0277-263X
- IdRef : 176026835
Emmanuelle Kesse-Guyot
- Fonction : Auteur
- PersonId : 736379
- IdHAL : emmanuelle-kesse-guyot
- ORCID : 0000-0002-9715-3534
- IdRef : 18131827X
Julie-Anne Nazare
- Fonction : Auteur
- PersonId : 759984
- ORCID : 0000-0003-3545-3264
- IdRef : 172621518
Chantal Simon
- Fonction : Auteur
- PersonId : 929974
Hélène Charreire
- Fonction : Auteur
- PersonId : 10409
- IdHAL : helene-charreire
- ORCID : 0000-0002-1260-9812
- IdRef : 122545737
Résumé
Many studies aim at identifying environmental correlates of walking in order to identify specific potential levers for tackling the medical burden of physical inactivity. The links between environmental characteristics and walking behaviors are usually context specific. While local studies fail to embrace a global overview of these contexts, global studies hide the context scale patterns. In this study, we applied a geographically weighted logistic regression (GWR) on a large area (whole of France) to explore spatial variations of the relations between five environmental variables and walking for leisure and errands purposes among 40,480 French adults. This approach allowed us to adopt a global view of local patterns of relations and to highlight spatial contexts (defined through a clustering of GWR odds ratios) where combinations of correlates varied. Specifically, clustering algorithms on the GWR odds ratios led to 9 and 6 clusters for walking for leisure and errands, respectively. Some clusters were characterized by a particularly strong effect of population density, whereas others exhibited low effect of vegetation cover rate. Chi-squared tests indicated that these clusters were associated with type of urban areas (Paris, major urban poles, periurban areas, small urban poles, isolated areas) for the two types of walking. Beyond its methodological contribution - providing a method to handle large data samples into GWR analyses - this study offers key elements to practitioners and policy makers to target relevant contexts and environmental features for promoting daily walking.
Format du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Résumé |
en
Many studies aim at identifying environmental correlates of walking in order to identify specific potential levers for tackling the medical burden of physical inactivity. The links between environmental characteristics and walking behaviors are usually context specific. While local studies fail to embrace a global overview of these contexts, global studies hide the context scale patterns. In this study, we applied a geographically weighted logistic regression (GWR) on a large area (whole of France) to explore spatial variations of the relations between five environmental variables and walking for leisure and errands purposes among 40,480 French adults. This approach allowed us to adopt a global view of local patterns of relations and to highlight spatial contexts (defined through a clustering of GWR odds ratios) where combinations of correlates varied. Specifically, clustering algorithms on the GWR odds ratios led to 9 and 6 clusters for walking for leisure and errands, respectively. Some clusters were characterized by a particularly strong effect of population density, whereas others exhibited low effect of vegetation cover rate. Chi-squared tests indicated that these clusters were associated with type of urban areas (Paris, major urban poles, periurban areas, small urban poles, isolated areas) for the two types of walking. Beyond its methodological contribution - providing a method to handle large data samples into GWR analyses - this study offers key elements to practitioners and policy makers to target relevant contexts and environmental features for promoting daily walking.
|
Titre |
en
A massive geographically weighted regression model of walking-environment relationships
|
Auteur(s) |
Thierry Feuillet
1, 2
, Hadrien Commenges
3
, M. Menai
2
, P. Salze
4
, C. Perchoux
5
, R. Reuillon
6
, Emmanuelle Kesse-Guyot
2
, C. Enaux
4
, Julie-Anne Nazare
7
, S. Hercberg
2
, Chantal Simon
7
, Hélène Charreire
8, 2
, J.M. Oppert
9, 2
1
LADYSS -
Laboratoire Dynamiques Sociales et Recomposition des Espaces
( 1096 )
- Université Paris Ouest Nanterre La Défense Bâtiment T 200 avenue de la République 92001 Nanterre cedex
- France
2
CRESS - U1153 -
Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle
( 516244 )
- Université Paris 13, U.F.R de Santé, Médecine et Biologie Humaine
Rez-de-chaussée, porte 26
74 rue Marcel Cachin
93017 Bobigny cedex
- France
3
GC (UMR_8504) -
Géographie-cités
( 1005044 )
- Campus Condorcet
Bâtiment de recherches sud
5, cours des Humanités
93322 Aubervilliers cedex
- France
4
LIVE -
Laboratoire Image, Ville, Environnement
( 441830 )
- 3 Rue de l'Argonne, 67000 STRASBOURG
- France
5
LISER -
Luxembourg Institute of Socio-Economic Research
( 462841 )
- 11, porte des Sciences 4366 Esch-sur-Alzette
- Luxembourg
6
ISC-PIF -
Institut des Systèmes Complexes - Paris Ile-de-France
( 541899 )
- 57-59 rue Lhomond 75005 Paris
- France
7
CarMeN -
Cardiovasculaire, métabolisme, diabétologie et nutrition
( 139835 )
- Faculté de Médecine Lyon Sud - BP 12 - 165 Chemin du Grand Revoyet - 69921 Oullins cedex INSA, Bât. IMBL, La Doua - 11 Avenue Jean Capelle - 69621 Villeurbanne Cedex
- France
8
LAB'URBA -
LAB'URBA
( 1004423 )
- Université Gustave Eiffel Cité Descartes - Bâtiment Bienvenue - Plot A 14-20, bld Newton Champs-sur-Marne - 77454 Marne La Vallée Cedex 2
- France
9
IHU ICAN -
Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière]
( 1085123 )
- Hôpital la Pitié Salpêtrière
47-83 boulevard de l’Hôpital
75013 Paris 13
- France
|
Public visé |
Scientifique
|
Nom de la revue |
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Langue du document |
Anglais
|
Volume |
68
|
Vulgarisation |
Non
|
Page/Identifiant |
118-129
|
Date de publication |
2018
|
Financement |
|
Domaine(s) |
|
Mots-clés |
en
environment, PARIS team, ACL, walking, geographically weighted logistic regression
|
DOI | 10.1016/j.jtrangeo.2018.03.002 |
ProdINRA | 450004 |
UT key WOS | 000432643800012 |
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