Reprint
Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
Edited by
July 2019
382 pages
- ISBN978-3-03921-183-8 (Paperback)
- ISBN978-3-03921-184-5 (PDF)
This book is a reprint of the Special Issue Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods that was published in
Environmental & Earth Sciences
Medicine & Pharmacology
Public Health & Healthcare
Summary
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.g., daily travel, migratory movements, and movements over the life course) and the influence of neighborhood contexts outside their residential neighborhoods. Recent studies have started to incorporate human mobility, non-residential neighborhoods, and the temporality of exposures through collecting and using data from GPS, accelerometers, mobile phones, various types of sensors, and social media. Innovative approaches and methods have been developed. This Special Issue aims to showcase studies that use new approaches, methods, and data to examine the role of human mobility and non-residential contexts on human health behaviors and outcomes. It includes 21 articles that cover a wide range of topics, including individual exposure to air pollution, exposure and access to green spaces, spatial access to healthcare services, environmental influences on physical activity, food environmental and diet behavior, exposure to noise and its impact on mental health, and broader methodological issues such as the uncertain geographic context problem (UGCoP) and the neighborhood effect averaging problem (NEAP). This collection will be a valuable reference for scholars and students interested in recent advances in the concepts and methods in environmental health and health geography.
Format
- Paperback
License
© 2019 by the authors; CC BY-NC-ND license
Keywords
obesity; built environment; activity space; regression analysis; UGCoP; foodscape exposure; activity space; commuting route; space-time kernel density estimation; time-weighted exposure; Beijing; cycling for transportation; bike paths; train stations; subway stations; adults; Brazil; fuel consumption; emissions estimation; GPS trace; big data; air pollution exposure; human mobility; mobile phone data; dynamic assessment; GIS; GPS; activity space; environmental exposure; the uncertain geographic context problem; noise pollution; mental disorders; built environment; multilevel model; China; PM concentrations; crop residue burning; correlation analysis; interannual and seasonal variations; China; the neighborhood effect averaging problem (NEAP); human mobility; environmental exposure; the uncertain geographic context problem; UGCoP; car ownership; car use; built environment; spatial autocorrelation; multilevel Bayesian model; geographical accessibility; Healthcare services; GIS; E2SFCA; CHAS; Singapore; environmental health; food environment; environmental context cube; environmental context exposure index; the uncertain geographic context problem (UGCoP); GPS; GIS; healthcare accessibility; catchment areas; access probability; taxi GPS trajectories; E2SFCA; greenspace exposure; health; human mobility; physical activity; structural equation modeling; Guangzhou; healthcare accessibility; population demand; geographic impedance; the elderly; urban planning; 3SFCA; real-time traffic; crowdedness; well-being experience; long-distance walking; collective leisure activity; walking event; urban leisure; missing data; spatial data; imputation; geographic imputation; activity space; ecological momentary assessment; EMA; walking; active travel; ageing; physical environment; personal projects; activity space; Public Participatory GIS (PPGIS); spatial accessibility; multimodal network; primary healthcare; China; 2009 influenza A(H1N1) pandemic; transport modes; rail travel; spatial spread; quantile regression; green space; road traffic accidents; cognitive aging; activity space; life-course perspectives; environmental exposures