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

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...

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Detalles Bibliográficos
Otros Autores:	Kwan, Mei-Po (auth)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Materias:	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
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009430890006719