Emerging big datasets about human mobility provide new and powerful ways of studying
cities and addressing various urban issues. However, human mobility has usually been …

This study aims to investigate the determinants of Behavioral Intention to Use (BIU) within
the scope of Air Quality Monitoring Solution (AQMS), with a focus on Technology Readiness …

Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …

Effective wildfire evacuation planning requires understanding where evacuees are likely to
travel and temporarily reside. Detailed information on evacuee destinations is a valuable …

Background Exposure to ambient fine particulate matter with an aerodynamic diameter< 2.5
μg· m− 3 (PM2. 5) is a risk factor for pulmonary and systemic autoimmune diseases; …

Introduction Emerging research suggested a nexus between air pollution exposure and risks
of overweight and obesity, while existing longitudinal evidence was extensively sparse …

Background Past investigations of air pollution and systemic autoimmune rheumatic
diseases (SARDs) typically focused on individual (not mixed) and overall environmental …

Urban green spaces are beneficial to residents' physical and mental health, but their spatial
distribution is unequal. Green justice studies typically use static administrative areas as …

Assessing personal exposure to air pollution is challenging due to the limited availability of
human movement data and the complexity of modeling air pollution at high spatiotemporal …

The neighborhood effect averaging problem (NEAP) is a major methodological problem that
might affect the accuracy of assessments of individual exposure to mobility-dependent …