Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data

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 wor...

Full description

Saved in:
Bibliographic Details
Main Authors: Ruoyu Wang, Ruth Hunter, Rodrigo Reis, Pedro C Hallal, Selin Akaraci, Esteban Moro
Format: Article
Language:English
Published: BMJ Publishing Group 2025-05-01
Series:BMJ Global Health
Online Access:https://gh.bmj.com/content/10/5/e017108.full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850272235139366912
author Ruoyu Wang
Ruth Hunter
Rodrigo Reis
Pedro C Hallal
Selin Akaraci
Esteban Moro
author_facet Ruoyu Wang
Ruth Hunter
Rodrigo Reis
Pedro C Hallal
Selin Akaraci
Esteban Moro
author_sort Ruoyu Wang
collection DOAJ
description 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.
format Article
id doaj-art-239a8e7c9f534bb9a0cbc3ba1c547d82
institution OA Journals
issn 2059-7908
language English
publishDate 2025-05-01
publisher BMJ Publishing Group
record_format Article
series BMJ Global Health
spelling doaj-art-239a8e7c9f534bb9a0cbc3ba1c547d822025-08-20T01:51:54ZengBMJ Publishing GroupBMJ Global Health2059-79082025-05-0110510.1136/bmjgh-2024-017108Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility dataRuoyu Wang0Ruth Hunter1Rodrigo Reis2Pedro C Hallal3Selin Akaraci4Esteban Moro5Centre for Public Health, QUB, Belfast, UKCentre for Public Health, QUB, Belfast, UKPeople Health and Place Unit, School of Public Health Health, Washington University in St Louis, St Louis, Missouri, USAUIUC, Urbana, Illinois, USAUCL, London, UKNetwork Science Institute, Department of Physics, Northeastern University, Boston, Massachusetts, USAIntroduction 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.https://gh.bmj.com/content/10/5/e017108.full
spellingShingle Ruoyu Wang
Ruth Hunter
Rodrigo Reis
Pedro C Hallal
Selin Akaraci
Esteban Moro
Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data
BMJ Global Health
title Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data
title_full Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data
title_fullStr Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data
title_full_unstemmed Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data
title_short Green space exposure and active transportation during the COVID-19 pandemic: a global analysis using Apple mobility data
title_sort green space exposure and active transportation during the covid 19 pandemic a global analysis using apple mobility data
url https://gh.bmj.com/content/10/5/e017108.full
work_keys_str_mv AT ruoyuwang greenspaceexposureandactivetransportationduringthecovid19pandemicaglobalanalysisusingapplemobilitydata
AT ruthhunter greenspaceexposureandactivetransportationduringthecovid19pandemicaglobalanalysisusingapplemobilitydata
AT rodrigoreis greenspaceexposureandactivetransportationduringthecovid19pandemicaglobalanalysisusingapplemobilitydata
AT pedrochallal greenspaceexposureandactivetransportationduringthecovid19pandemicaglobalanalysisusingapplemobilitydata
AT selinakaraci greenspaceexposureandactivetransportationduringthecovid19pandemicaglobalanalysisusingapplemobilitydata
AT estebanmoro greenspaceexposureandactivetransportationduringthecovid19pandemicaglobalanalysisusingapplemobilitydata