1. Spatially heterogeneous associations between the built environment and objective health outcomes in Japanese cities.
- Author
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Li, Shuangjin, Zhang, Junyi, Moriyama, Michiko, and Kazawa, Kana
- Subjects
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DISEASE risk factors , *HOSPITALS , *BUILT environment , *HEALTH status indicators , *RANDOM forest algorithms , *REGRESSION analysis , *POPULATION geography , *ENVIRONMENTAL health , *RISK assessment , *PUBLIC spaces , *METROPOLITAN areas - Abstract
The built environment is a structural determinant of health. Here we reveal spatially heterogeneous associations of built environment indicators with objective health outcomes (morbidity) by combining a random forest (RF) approach and a multiscale geographically weighted (MGWR) regression method. Using data from six Japanese cities, we found that the ratio of morbidity has obvious spatial agglomerations. The mixed land-use diversity with 1000 m buffer, distance to hospital, proportion of park area with 300 m buffer, and house price with 2000 m buffer, negatively affect health outcomes at all locations. For most locations, high PM2.5 or high floor area ratio with 2000 m buffer are linked to a high ratio of morbidity. Our findings support the use of such data for long-term urban and health planning. We expect our study to be a starting point for further research on spatially heterogeneous associations of the built environment with comprehensive health outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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