Spatial Lifecourse Health

Application of night light remote sensing data in urban studies

To introduce the application of night light remote sensing data in urban studies.

Sensing healthy city based on street view imagery and GeoAI

To introduce our published paper in sensing health city using street view imagery and GeoAI.

High-resolution population density mapping in urban areas using a contextualized geographically weighted neural network (CGWNN) model

High-resolution gridded population data are crucial for various fields. Estimating heterogeneous urban populations presents challenges due to nonlinear relationships between influential factors and population density, which vary spatially across …

Sensing healthy city based on street view imagery and GeoAI

To introduce our published paper in sensing health city using street view imagery and GeoAI.

Sensing healthy city based on street view imagery and GeoAI

To introduce our published paper in sensing health city using street view imagery and GeoAI.

The impact assessment of urban built environment on carbon-air-health nexus: a lifecourse perspective

To introduce our rethinking on the carbon-air-health nexus.

Built environments and obesity: A framework considering residences, commute routes, and workplaces

The built environment is a significant contributor to obesity, but previous studies have focused more on the built environment at residential areas, ignoring that at other geographical contexts. This study introduces an innovative framework to …

Heterogeneous impacts of and vulnerabilities to the COVID-19 pandemic

Context-The COVID-19 pandemic has impacted all sectors of society, with effects that have been acutely experienced at the local, national, regional, and global levels. Objectives-This study examined the heterogeneous impacts of and vulnerability to …

Development of the frequently used built environmental auditing and simulation tools in health domain

To introduce our published paper at the 4th International Symposium on Spatial Lifecourse Health.

Improving obesogenic environmental assessments with advanced geospatial methods

This thesis explores the intricate connections between the envir- onment and obesity. It develops and applies advanced geospatial methods to enhance the assessment of obesogenic environments and obesity risks. Its primary objective is to evaluate …