Geospatial Estimation of Individual Exposure to Air Pollutants
Moving from Static Monitoring to Activity-Based Dynamic Exposure Assessment
Dados Bibliográficos
| ID | 8375460 |
|---|---|
| Autores | Eunhye Yoo (0000-0001-5057-2187, University at Buffalo, State University of New York, autor correspondente), C Rudra, Carole B Rudra (University at Buffalo, State University of New York, autor correspondente), Mark Glasgow (University at Buffalo, State University of New York, autor correspondente), Lina Mu (0000-0003-4799-7517, University at Buffalo, State University of New York, autor correspondente) |
| Ano | 2015 |
| Volume | 105 |
| Fascículo | 5 |
| Páginas | 915-926 |
| Data de publicação | 2015-09-03 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Annals of the Association of American Geographers (JOURNAL) |
| Identificadores do periódico | ISSN: 0004-5608 • E-ISSN: 1467-8306 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00045608.2015.1054253 |
| OpenAlex | W2134081393 |
| Idioma | EN |
| Citações recebidas | 27 |
| Referências citadas | 24 |
Spatiotemporal variability of air pollutant concentrations and individuals' mobility are likely to play an important role in health outcomes and, therefore, time–activity-based exposure assessments are likely to be more sensitive compared to static residence-based air pollution estimates. Applied research on the effects of the variability underlying air pollutant concentrations and individuals' mobility on personal exposure estimates remain limited, however. We demonstrate how consideration of individuals' mobility and the spatiotemporal variability of ambient air pollution affect personal exposure estimates using both real-world data and simulated environmental conditions. Our findings suggest that time–activity-based exposure estimates might be quite similar to static estimates if spatiotemporal patterns of air pollution concentration surfaces lack autocorrelation or if an individual has a low level of mobility. There can be substantial differences, though, between two approaches when the air pollution concentrations are characterized by a model of air pollution that shows low variation over time and space and individuals' time spent away from home is substantial
Air pollutants · Air pollution · Atmospheric sciences · Cartography · Environmental health · Estimation · Exposure assessment · Geography · Geospatial analysis · Pollutant · Air Quality and Health Impacts · Ecology · Engineering · Environmental Science · Pollution · Urban Transport and Accessibility · Vehicle emissions and performance
Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions
Dynamic Estimation of Individual Exposure Levels to Air Pollution Using Trajectories Reconstructed from Mobile Phone Data
The Impact of Individual Mobility on Long-Term Exposure to Ambient PM2.5
Fine-Scale Spatial Variability of Pedestrian-Level Particulate Matters in Compact Urban Commercial Districts in Hong Kong
Smaller particular matter, larger risk of female lung cancer incidence? Evidence from 436 Chinese counties
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Imputation of missing time-activity data with long-term gaps
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An exploratory assessment of the effectiveness of geomasking methods on privacy protection and analytical accuracy for individual-level geospatial data
Understanding the relationships among individual-based momentary measured noise, perceived noise, and psychological stress
Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored
Activity-based air pollution exposure assessment
Assessing personal travel exposure to on-road PM2.5 using cellphone positioning data and mobile sensors
Examining the geographical distribution of air pollution disparities across different racial and ethnic groups
The role of everyday mobility in adaptation to air pollution hazard
Biosocial health geography
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Exploring the inequality of the particulate matter exposure level of public bicycle scheme users using an agent-based model
An Adaptive Spatiotemporal Sampling Method for Optimal Environmental Sensor Placement
Revisiting the Uncertain Geographic Context Problem
Understanding Social Inequality in Individual Perceived Exposures to Air Pollution in Residential and Visited Neighborhoods
How Neighborhood Effect Averaging Might Affect Assessment of Individual Exposures to Air Pollution
How Short Is Long Enough? Modeling Temporal Aspects of Human Mobility Behavior Using Mobile Phone Data
The Limits of the Neighborhood Effect
Assessing Mobility-Based Real-Time Air Pollution Exposure in Space and Time Using Smart Sensors and GPS Trajectories in Beijing
Acute Respiratory Effects of Particulate Air Pollution
A review and evaluation of intraurban air pollution exposure models
What About People in Regional Science
A dynamic activity-based population modelling approach to evaluate exposure to air pollution
The Uncertain Geographic Context Problem
Gis methods in time-geographic research
| Obras citantes distintas | 27 |
|---|---|
| Citações por ano | 2,7 |
| Intervalo de citações | 2016 - 2026 (11) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 24 |