Building running-friendly cities: effects of streetscapes on running using 9.73 million fitness tracker data in Shanghai, China.
Built environment
Deep learning
Running activity
Street view images
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
20 Aug 2024
20 Aug 2024
Historique:
received:
20
03
2024
accepted:
25
07
2024
medline:
21
8
2024
pubmed:
21
8
2024
entrez:
20
8
2024
Statut:
epublish
Résumé
The association between built environment and physical activity has been recognized. However, how and to what extent microscale streetscapes are related to running activity remains underexplored, partly due to the lack of running data in large urban areas. Moreover, few studies have examined the interactive effects of macroscale built environment and microscale streetscapes. This study examines the main and interactive effects of the two-level environments on running intensity, using 9.73 million fitness tracker data from Keep in Shanghai, China. Results of spatial error model showed that: 1) the explanatory power of microscale streetscapes was higher than that of macroscale built environment with R
Identifiants
pubmed: 39164681
doi: 10.1186/s12889-024-19605-4
pii: 10.1186/s12889-024-19605-4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2251Subventions
Organisme : National Natural Science Foundation of China
ID : 52308055
Organisme : National Natural Science Foundation of China
ID : 52378049
Organisme : General Project of Ministry of Education Foundation on Humanities and Social Sciences
ID : 23YJCZH061
Organisme : Social Science Foundation of Fujian Province
ID : FJ2023C084
Organisme : the Start-up Foundation of Fuzhou University
ID : 511034
Informations de copyright
© 2024. The Author(s).
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