Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling
Previous studies on the effects of greenspace exposure on health are largely based on static contextual units, such as residential neighborhoods, and other administrative units. They tend to ignore the spatiotemporal dynamics of individual daily greenspace exposure and the mediating effects of speci...
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doaj-27a5cdda12a74b1ca477cfade571f0cc2020-11-24T21:46:38ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012018-10-011510232310.3390/ijerph15102323ijerph15102323Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation ModelingLin Zhang0Suhong Zhou1Mei-Po Kwan2Fei Chen3Rongping Lin4School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaDepartment of Geography and Geographic Information Science, Natural History Building, 1301 W Green Street, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USASchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaPrevious studies on the effects of greenspace exposure on health are largely based on static contextual units, such as residential neighborhoods, and other administrative units. They tend to ignore the spatiotemporal dynamics of individual daily greenspace exposure and the mediating effects of specific activity type (such as physical activity). Therefore, this study examines individual daily greenspace exposure while taking into account people’s daily mobility and the mediating role of physical activity between greenspace exposure and health. Specifically, using survey data collected in Guangzhou, China, and high-resolution remote sensing images, individual activity space for a weekday is delineated and used to measure participants’ daily greenspace exposure. Structural equation modeling is then applied to analyze the direct effects of individual daily greenspace exposure on health and its indirect effects through the mediating variable of physical activity. The results show that daily greenspace exposure directly influences individual health and also indirectly affects participants’ health status through physical activity. With respect to the total effects, daily greenspace exposure helps improve participants’ mental health and contributes to promoting their social health. It also helps improve participants’ physical health, although to a lesser extent. In general, the higher the daily greenspace exposure, the higher the physical activity level and the better the overall health (including physical, mental, and social health).http://www.mdpi.com/1660-4601/15/10/2323greenspace exposurehealthhuman mobilityphysical activitystructural equation modelingGuangzhou |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lin Zhang Suhong Zhou Mei-Po Kwan Fei Chen Rongping Lin |
spellingShingle |
Lin Zhang Suhong Zhou Mei-Po Kwan Fei Chen Rongping Lin Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling International Journal of Environmental Research and Public Health greenspace exposure health human mobility physical activity structural equation modeling Guangzhou |
author_facet |
Lin Zhang Suhong Zhou Mei-Po Kwan Fei Chen Rongping Lin |
author_sort |
Lin Zhang |
title |
Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling |
title_short |
Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling |
title_full |
Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling |
title_fullStr |
Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling |
title_full_unstemmed |
Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling |
title_sort |
impacts of individual daily greenspace exposure on health based on individual activity space and structural equation modeling |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2018-10-01 |
description |
Previous studies on the effects of greenspace exposure on health are largely based on static contextual units, such as residential neighborhoods, and other administrative units. They tend to ignore the spatiotemporal dynamics of individual daily greenspace exposure and the mediating effects of specific activity type (such as physical activity). Therefore, this study examines individual daily greenspace exposure while taking into account people’s daily mobility and the mediating role of physical activity between greenspace exposure and health. Specifically, using survey data collected in Guangzhou, China, and high-resolution remote sensing images, individual activity space for a weekday is delineated and used to measure participants’ daily greenspace exposure. Structural equation modeling is then applied to analyze the direct effects of individual daily greenspace exposure on health and its indirect effects through the mediating variable of physical activity. The results show that daily greenspace exposure directly influences individual health and also indirectly affects participants’ health status through physical activity. With respect to the total effects, daily greenspace exposure helps improve participants’ mental health and contributes to promoting their social health. It also helps improve participants’ physical health, although to a lesser extent. In general, the higher the daily greenspace exposure, the higher the physical activity level and the better the overall health (including physical, mental, and social health). |
topic |
greenspace exposure health human mobility physical activity structural equation modeling Guangzhou |
url |
http://www.mdpi.com/1660-4601/15/10/2323 |
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