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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.
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
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This book focuses on the up-to-date studies on the sustainability with changing climate and extremes. The main contributors discussed the changing climate and extreme events, as well as their impacts on natural and human dimension sustainability, including the incorporated social–ecologic and socioeconomic processes. Special attention is given to four main sections: natural disasters in agriculture; urban/rural ecosystem, tourism, and ecosystem service; extreme climate indices, and newly created dataset for climate change.
Research & information: general --- Environmental economics --- trade conflict --- carbon emissions --- import and export trade --- cooperative emission reduction --- meteorological hazards --- risk assessment --- spatial pattern --- population exposure --- Qinghai-Tibet Plateau --- climate change --- slope geohazards --- new geohazard clusters --- extreme cooling events --- Arctic Oscillation --- winter in China --- atmospheric circulation --- GPP --- CMIP6 --- ESM --- STA --- China --- warm days --- cold days --- warm nights --- cold nights --- hot days --- frost days --- compound drought and heatwave events --- complex network --- event synchronization --- atmospheric circulation patterns --- urban agglomeration --- drought --- heat wave --- flood --- GM (1, 1) --- Arctic --- universal thermal climate index (UTCI) --- spatial-temporal changes --- 1979–2019 --- ecosystem services trade-offs --- land-use change --- soil conservation --- carbon storage --- water yield --- precipitation gradient --- Loess Plateau --- climate hazards --- geospatial analysis --- urban adaptation --- risk management --- snow disaster --- risk zoning --- Heilongjiang Province --- precipitation --- model resolutions --- cold region of China --- spatiotemporal distribution --- spatiotemporal variation --- 1961–2019 --- high-resolution and high-quality precipitation data --- independent and non-independent test --- the 0.01° multi-source fusion precipitation product --- extreme precipitation event --- forest types --- NDVI --- AVHRR GIMMS --- temperature range --- precipitation range --- snow cover --- black carbon concentration --- radiative forcing --- northeast China --- high temperature --- mobile phone data --- impact factor --- Zhuhai City --- WRF model --- projection --- short-lived heatwave event --- long-lived heatwave event --- Yangtze River Basin --- central and western Pacific --- thermocline --- yellowfin tuna --- CPUE --- El Niño --- La Niña --- GAM model --- spring soil moisture --- impact mechanism --- Songnen Plain --- Sanjiang Plain --- maize --- diurnal temperature range --- fresh air index --- natural microclimate comfort index --- fresh air–natural microclimate comfort index --- scenic spots --- Fujian province --- extreme climate indices --- temporal and spatial dynamics --- linear trend --- climate abrupt change --- central China --- peanut drought --- Shandong Province --- natural disaster risk assessment principles --- dry-hot wind disaster --- Shandong province --- natural disaster risk assessment principle --- summer maize --- inter- and mixed cropping --- flowering period --- yield --- potato climatic productivity potential --- Inner Mongolia --- effect --- human mobility --- rainfall --- taxi GPS data --- community --- Zhuhai central areas --- citrus --- quality --- future projection --- state-owned forest farms --- human resource allocation --- industrial structure --- coordination and adaptation --- personal structure --- contiguous poverty-stricken areas --- rainstorms and droughts --- direct economic losses --- disaster-affected population --- drought and flood --- vulnerability --- risk prediction --- agroecosystem --- heatwaves --- population exposure change --- global warming --- 1.5 °C warming scenario --- 2.0 °C warming scenario --- n/a --- 1979-2019 --- 1961-2019 --- El Niño --- La Niña --- fresh air-natural microclimate comfort index
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