Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods

• Váldodahkki: Kwan, Mei-Po (auth)
• Materiálatiipa: Elektrovnnalaš Girjji oassi
• Giella: eaŋgalasgiella
• Almmustuhtton: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Fáttát: Medicine; the elderly; regression analysis; walking event; green space; missing data; crop residue burning; correlation analysis; imputation; physical environment; crowdedness; Guangzhou; mobile phone data; GPS trace; noise pollution; mental disorders; Beijing; urban leisure; environmental exposure; environmental context cube; subway stations; air pollution exposure; long-distance walking; car ownership; multilevel model; CHAS; ecological momentary assessment; cycling for transportation; cognitive aging; 3SFCA; interannual and seasonal variations; well-being experience; personal projects; spatial spread; E2SFCA; activity space; catchment areas; structural equation modeling; transport modes; greenspace exposure; health; train stations; human mobility; quantile regression; the neighborhood effect averaging problem (NEAP); emissions estimation; taxi GPS trajectories; real-time traffic; primary healthcare; rail travel; spatial accessibility; commuting route; GPS; urban planning; environmental health; Brazil; EMA; geographical accessibility; big data; dynamic assessment; obesity; healthcare accessibility; population demand; the uncertain geographic context problem (UGCoP); geographic impedance; collective leisure activity; multimodal network; GIS; 2009 influenza A(H1N1) pandemic; UGCoP; environmental exposures; spatial data; the uncertain geographic context problem; Singapore; built environment; adults; time-weighted exposure; geographic imputation; Public Participatory GIS (PPGIS); access probability; life-course perspectives; China; walking; active travel; foodscape exposure; car use; food environment; fuel consumption; ageing; Healthcare services; road traffic accidents; space-time kernel density estimation; multilevel Bayesian model; environmental context exposure index; spatial autocorrelation; PM concentrations; physical activity; bike paths
• Liŋkkat: DOAB: download the publication; DOAB: description of the publication

Environmental health researchers have long used concepts like the neighborhood effect to assessing people's exposure to environmental influences and the associated health impact. However, these are static notions that ignore people's daily mobility at various spatial and temporal scales (e...