Wang, Ruoyu and Akaraci, Selin and Moro, Esteban and Hallal, Pedro C and Reis, Rodrigo and Hunter, Ruth (2025) Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data. BMJ Global Health, 2025 (10). e017108-e017108. DOI https://doi.org/10.1136/bmjgh-2024-017108
Wang, Ruoyu and Akaraci, Selin and Moro, Esteban and Hallal, Pedro C and Reis, Rodrigo and Hunter, Ruth (2025) Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data. BMJ Global Health, 2025 (10). e017108-e017108. DOI https://doi.org/10.1136/bmjgh-2024-017108
Wang, Ruoyu and Akaraci, Selin and Moro, Esteban and Hallal, Pedro C and Reis, Rodrigo and Hunter, Ruth (2025) Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data. BMJ Global Health, 2025 (10). e017108-e017108. DOI https://doi.org/10.1136/bmjgh-2024-017108
Abstract
INTRODUCTION: There is little evidence investigating the association between green space (exposure and inequality) and active transportation during the COVID-19 pandemic. This study focused on the spatial heterogeneity in trajectories of different transportation modes during the COVID-19 pandemic worldwide, as well as the association between green space exposure and inequality and active transportation during the COVID-19 pandemic from a global perspective. METHODS: This study was based on an ecological study design and used three different Apple Mobility indices (driving, walking and public transit) to evaluate the trajectories of different transportation modes during the COVID-19 pandemic in 299 cities across 46 countries. Green space exposure was calculated based on fine-resolution population and green space mappings. Green space inequality was calculated by incorporating the Gini index into the green space exposure (green space Gini index). The hot/cold spot analysis was used to explore spatial heterogeneity in trajectories of different transportation modes during the COVID-19 pandemic worldwide, while Gaussian spatial mixed models were used to model the association between green space exposure and inequality and active transportation. RESULTS: The hot/cold spot analysis shows that there were spatial inequalities in the trajectories of different transportation modes worldwide during the COVID-19 pandemic. Results from Gaussian spatial mixed models showed that green space exposure was positively associated with the walking index (Coef.=46.82; SE=18.20), while green space inequality was positively associated with the walking index (Coef.=58.88; SE=26.87) and public transit index (Coef.=162.07; SE=80.16). Also, the effect of green space varied across city development levels, the stringency of policy and COVID-19 severity. CONCLUSIONS: Our findings demonstrate the importance of sufficient city-scale green spaces to support active transportation, with important implications to help cities better prepare for future pandemics and support active transportation during non-pandemic times.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Cities; COVID-19; Global Health; Humans; Malus; Pandemics; SARS-CoV-2; Socioeconomic Factors; Transportation; Walking; Public Health |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Health and Social Care, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 27 Jul 2026 13:26 |
| Last Modified: | 29 Jul 2026 15:01 |
| URI: | http://repository.essex.ac.uk/id/eprint/41890 |
Available files
Filename: Green space exposure and active transportation during the COVID-19 pandemic a global analysis using Apple mobility data.pdf
Licence: Creative Commons: Attribution 4.0