| Name | ZHANG KAILI |
|---|---|
| Affiliation | Graduate School human-environment studies Department of Urban Design, Planning and Disaster Management |
| Title of the Research | The impact mechanism of multi-scale urban built environment on health and well-being of residents |
| Outline of Research | From an interdisciplinary perspective, this study utilizes multivariate data such as remote sensing imagery, street view images, vector data, and house prices to identify the impact mechanisms of the built environment on public health outcomes (physical, mental, and social health) , based on the machine-learning statistical models including Geographically Weighted Regression Model, Random Forest Model, and Latent Growth Curve Modeling, respectively, to identify the mechanisms by which the built environment affects public health outcomes (physical, mental, and social health) at three different scales: city, block, and community. Based on the different scales of research, it is possible to obtain more comprehensive findings, which can provide quantitative guidance and insights for health-promoting urban planning and design. |