LEADER 05996nam 2201465z- 450 001 9910346665403321 005 20231214133544.0 010 $a3-03921-184-6 035 $a(CKB)4920000000095013 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49631 035 $a(EXLCZ)994920000000095013 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (382 p.) 311 $a3-03921-183-8 330 $aEnvironmental 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. 517 $aHuman Mobility, Spatiotemporal Context, and Environmental Health 610 $athe elderly 610 $aregression analysis 610 $awalking event 610 $agreen space 610 $amissing data 610 $acrop residue burning 610 $acorrelation analysis 610 $aimputation 610 $aphysical environment 610 $acrowdedness 610 $aGuangzhou 610 $amobile phone data 610 $aGPS trace 610 $anoise pollution 610 $amental disorders 610 $aBeijing 610 $aurban leisure 610 $aenvironmental exposure 610 $aenvironmental context cube 610 $asubway stations 610 $aair pollution exposure 610 $along-distance walking 610 $acar ownership 610 $amultilevel model 610 $aCHAS 610 $aecological momentary assessment 610 $acycling for transportation 610 $acognitive aging 610 $a3SFCA 610 $ainterannual and seasonal variations 610 $awell-being experience 610 $apersonal projects 610 $aspatial spread 610 $aE2SFCA 610 $aactivity space 610 $acatchment areas 610 $astructural equation modeling 610 $atransport modes 610 $agreenspace exposure 610 $ahealth 610 $atrain stations 610 $ahuman mobility 610 $aquantile regression 610 $athe neighborhood effect averaging problem (NEAP) 610 $aemissions estimation 610 $ataxi GPS trajectories 610 $areal-time traffic 610 $aprimary healthcare 610 $arail travel 610 $aspatial accessibility 610 $acommuting route 610 $aGPS 610 $aurban planning 610 $aenvironmental health 610 $aBrazil 610 $aEMA 610 $ageographical accessibility 610 $abig data 610 $adynamic assessment 610 $aobesity 610 $ahealthcare accessibility 610 $apopulation demand 610 $athe uncertain geographic context problem (UGCoP) 610 $ageographic impedance 610 $acollective leisure activity 610 $amultimodal network 610 $aGIS 610 $a2009 influenza A(H1N1) pandemic 610 $aUGCoP 610 $aenvironmental exposures 610 $aspatial data 610 $athe uncertain geographic context problem 610 $aSingapore 610 $abuilt environment 610 $aadults 610 $atime-weighted exposure 610 $ageographic imputation 610 $aPublic Participatory GIS (PPGIS) 610 $aaccess probability 610 $alife-course perspectives 610 $aChina 610 $awalking 610 $aactive travel 610 $afoodscape exposure 610 $acar use 610 $afood environment 610 $afuel consumption 610 $aageing 610 $aHealthcare services 610 $aroad traffic accidents 610 $aspace-time kernel density estimation 610 $amultilevel Bayesian model 610 $aenvironmental context exposure index 610 $aspatial autocorrelation 610 $aPM concentrations 610 $aphysical activity 610 $abike paths 700 $aKwan$b Mei-Po$4auth$0852010 906 $aBOOK 912 $a9910346665403321 996 $aHuman Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods$93027040 997 $aUNINA