TY - BOOK ID - 35899 TI - Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods AU - Kwan, Mei-Po PY - 2019 SN - 9783039211838 / 9783039211845 DB - DOAB KW - obesity KW - built environment KW - activity space KW - regression analysis KW - UGCoP KW - foodscape exposure KW - activity space KW - commuting route KW - space-time kernel density estimation KW - time-weighted exposure KW - Beijing KW - cycling for transportation KW - bike paths KW - train stations KW - subway stations KW - adults KW - Brazil KW - fuel consumption KW - emissions estimation KW - GPS trace KW - big data KW - air pollution exposure KW - human mobility KW - mobile phone data KW - dynamic assessment KW - GIS KW - GPS KW - activity space KW - environmental exposure KW - the uncertain geographic context problem KW - noise pollution KW - mental disorders KW - built environment KW - multilevel model KW - China KW - PM concentrations KW - crop residue burning KW - correlation analysis KW - interannual and seasonal variations KW - China KW - the neighborhood effect averaging problem (NEAP) KW - human mobility KW - environmental exposure KW - the uncertain geographic context problem KW - UGCoP KW - car ownership KW - car use KW - built environment KW - spatial autocorrelation KW - multilevel Bayesian model KW - geographical accessibility KW - Healthcare services KW - GIS KW - E2SFCA KW - CHAS KW - Singapore KW - environmental health KW - food environment KW - environmental context cube KW - environmental context exposure index KW - the uncertain geographic context problem (UGCoP) KW - GPS KW - GIS KW - healthcare accessibility KW - catchment areas KW - access probability KW - taxi GPS trajectories KW - E2SFCA KW - greenspace exposure KW - health KW - human mobility KW - physical activity KW - structural equation modeling KW - Guangzhou KW - healthcare accessibility KW - population demand KW - geographic impedance KW - the elderly KW - urban planning KW - 3SFCA KW - real-time traffic KW - crowdedness KW - well-being experience KW - long-distance walking KW - collective leisure activity KW - walking event KW - urban leisure KW - missing data KW - spatial data KW - imputation KW - geographic imputation KW - activity space KW - ecological momentary assessment KW - EMA KW - walking KW - active travel KW - ageing KW - physical environment KW - personal projects KW - activity space KW - Public Participatory GIS (PPGIS) KW - spatial accessibility KW - multimodal network KW - primary healthcare KW - China KW - 2009 influenza A(H1N1) pandemic KW - transport modes KW - rail travel KW - spatial spread KW - quantile regression KW - green space KW - road traffic accidents KW - cognitive aging KW - activity space KW - life-course perspectives KW - environmental exposures UR - https://www.doabooks.org/doab?func=search&query=rid:35899 AB - 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. ER -