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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Autor principal: Kwan, Mei-Po
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2021
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GPS
EMA
GIS
Accés en línia:35899
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author Kwan, Mei-Po
author_browse Kwan, Mei-Po
author_facet Kwan, Mei-Po
author_sort Kwan, Mei-Po
collection Directory of Open Access Books
description 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.
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spelling doab-20.500.12854ir-496312024-03-30T23:22:09Z Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods Kwan, Mei-Po R5-920 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 thema EDItEUR::M Medicine and Nursing 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. 2021-02-11T15:37:27Z 2021-02-11T15:37:27Z 2019-08-28 11:21:27 2019 book 35899 9783039211838 9783039211845 https://directory.doabooks.org/handle/20.500.12854/49631 eng image/png Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1419 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-184-5 10.3390/books978-3-03921-184-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039211838 9783039211845 382 open access
spellingShingle R5-920
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
thema EDItEUR::M Medicine and Nursing
Kwan, Mei-Po
Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
title Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
title_full Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
title_fullStr Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
title_full_unstemmed Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
title_short Human Mobility, Spatiotemporal Context, and Environmental Health: Recent Advances in Approaches and Methods
title_sort human mobility spatiotemporal context and environmental health recent advances in approaches and methods
topic R5-920
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
thema EDItEUR::M Medicine and Nursing
topic_facet R5-920
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
thema EDItEUR::M Medicine and Nursing
url 35899
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