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新冠疫情期间的绿地接触与主动出行:一项使用苹果移动数据的全球分析

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

作者信息

Wang Ruoyu, Akaraci Selin, Moro Esteban, Hallal Pedro C, Reis Rodrigo, Hunter Ruth

机构信息

Centre for Public Health, QUB, Belfast, UK

University of Essex, Colchester, UK.

出版信息

BMJ Glob Health. 2025 May 14;10(5):e017108. doi: 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.

摘要

引言

在新冠疫情期间,鲜有证据研究绿地(暴露与不平等)与主动出行之间的关联。本研究聚焦于全球新冠疫情期间不同交通方式轨迹的空间异质性,以及从全球视角探讨新冠疫情期间绿地暴露与不平等和主动出行之间的关联。

方法

本研究基于生态研究设计,使用三种不同的苹果移动性指数(驾车、步行和公共交通)来评估46个国家299个城市在新冠疫情期间不同交通方式的轨迹。基于高分辨率人口和绿地地图计算绿地暴露。通过将基尼指数纳入绿地暴露(绿地基尼指数)来计算绿地不平等。采用热点/冷点分析来探索全球新冠疫情期间不同交通方式轨迹的空间异质性,同时使用高斯空间混合模型来模拟绿地暴露与不平等和主动出行之间的关联。

结果

热点/冷点分析表明,在全球新冠疫情期间,不同交通方式的轨迹存在空间不平等。高斯空间混合模型的结果显示,绿地暴露与步行指数呈正相关(系数=46.82;标准误=18.20),而绿地不平等与步行指数(系数=58.88;标准误=26.87)和公共交通指数(系数=162.07;标准误=80.16)呈正相关。此外,绿地的影响因城市发展水平、政策严格程度和新冠疫情严重程度而异。

结论

我们的研究结果表明,充足的城市尺度绿地对于支持主动出行至关重要,这对于帮助城市更好地应对未来疫情以及在非疫情时期支持主动出行具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81ad/12083287/e0a5c5a57198/bmjgh-10-5-g001.jpg

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