Associations of school neighbourhood built environment profiles with active commuting behaviour in Spanish adolescents

Objective To investigate whether school neighbourhood built environment (SNBE) profiles are associated with adolescents' active commuting to/from school (ACS) and related outcomes (i.e., basic psychosocial needs, motivation, and barriers). Methods A total of 311 adolescents (14.36 ± 0.63 years; 54.34% girls) self-reported ACS-related outcomes. The SNBE was assessed at both the macro- and micro-scale . Principal component analysis followed by hierarchical clustering was applied to classify schools into different macro-scale and micro-scale profiles. Multilevel linear mixed-effects models and multilevel logistic regression models were conducted to examine the associations between ACS and related outcomes and macro- and micro-scale environment profiles. Results At the macro-scale level, no significant associations were observed between SNBE profiles and ACS-related behavioural or psychosocial outcomes. Similarly, no significant independent associations were observed for micro-scale environments. However, a non-significant tendency towards higher odds of active commuting from school was observed in high-support micro-scale environments (OR = 2.60; p = 0.069). On the other hand, when both environmental scales were considered jointly, adolescents attending schools in green and walkable macro-scale and high-support micro-scale environments reported lower planning/psychosocial barriers (β = −0.50; p = 0.004), as well as higher intrinsic (β = 0.75; p = 0.038) and integrated motivation (β = 1.10; p = 0.002). In addition, these combined environments were associated with greater odds of actively commuting to school (OR = 7.31; p = 0.012), while a non-significant tendency was observed for commuting from school (OR = 4.75; p = 0.098). Conclusion This study suggests that independent associations of macro- and micro-scale school neighbourhood environments with adolescents' ACS and related outcomes were limited. However, the combined presence of favourable macro- and micro-scale environments was associated with lower planning/psychosocial barriers, higher autonomous motivation, and greater odds of ACS.

Authors

Institutions

Publication Details

Journal
Cities
Published
2026-07-30
DOI
https://doi.org/10.1016/j.cities.2026.107431
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations of school neighbourhood built environment profiles with active commuting behaviour in Spanish adolescents

Ana Ramírez-Osuna, Francisco Javier Huertas-Delgado, David Rodriguez-Sanchez, Sergio Campos-Sánchez et al.
Cities
Urban Transport and Accessibility
article

Associations of school neighbourhood built environment profiles with active commuting behaviour in Spanish adolescents

Ana Ramírez-Osuna, Francisco Javier Huertas-Delgado, David Rodriguez-Sanchez, Sergio Campos-Sánchez, Palma Chillón, Richard Larouche, Javier Molina-García, Pablo Campos-Garzón
article en

Abstract

Objective To investigate whether school neighbourhood built environment (SNBE) profiles are associated with adolescents' active commuting to/from school (ACS) and related outcomes (i.e., basic psychosocial needs, motivation, and barriers). Methods A total of 311 adolescents (14.36 ± 0.63 years; 54.34% girls) self-reported ACS-related outcomes. The SNBE was assessed at both the macro- and micro-scale . Principal component analysis followed by hierarchical clustering was applied to classify schools into different macro-scale and micro-scale profiles. Multilevel linear mixed-effects models and multilevel logistic regression models were conducted to examine the associations between ACS and related outcomes and macro- and micro-scale environment profiles. Results At the macro-scale level, no significant associations were observed between SNBE profiles and ACS-related behavioural or psychosocial outcomes. Similarly, no significant independent associations were observed for micro-scale environments. However, a non-significant tendency towards higher odds of active commuting from school was observed in high-support micro-scale environments (OR = 2.60; p = 0.069). On the other hand, when both environmental scales were considered jointly, adolescents attending schools in green and walkable macro-scale and high-support micro-scale environments reported lower planning/psychosocial barriers (β = −0.50; p = 0.004), as well as higher intrinsic (β = 0.75; p = 0.038) and integrated motivation (β = 1.10; p = 0.002). In addition, these combined environments were associated with greater odds of actively commuting to school (OR = 7.31; p = 0.012), while a non-significant tendency was observed for commuting from school (OR = 4.75; p = 0.098). Conclusion This study suggests that independent associations of macro- and micro-scale school neighbourhood environments with adolescents' ACS and related outcomes were limited. However, the combined presence of favourable macro- and micro-scale environments was associated with lower planning/psychosocial barriers, higher autonomous motivation, and greater odds of ACS.

CitiesVol. 179
University of Lethbridge (CA), Universitat de València (ES), Universidad de Granada (ES), Karolinska Institutet (SE), Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (ES), University of Almería (ES)
European Regional Development Fund
Sustainable cities and communities
Openalex Percentile: Top 6%
Urban Transport and Accessibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.