Assessing Mobility-Based Real-Time Air Pollution Exposure in Space and Time Using Smart Sensors and GPS Trajectories in Beijing.
Using real-time data from portable air pollutant sensors and smartphone Global Positioning System trajectories collected in Beijing, China, this study demonstrates how smart technologies and individual activity-travel microenvironments affect the assessment of individual-level pollution exposure in...
| Publicado en: | Annals of the American Association of Geographers Vol. 110; no. 2; pp. 434 - 449 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Mar2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=141770581&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 141770581 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 24694452 JRMH jtl: Annals of the American Association of Geographers issn: 24694452 maglogo: N pubinfo: dt: Mar2020 vid: 110 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 141770581 10.1080/24694452.2019.1653752 ppf: 434 ppct: 15 formats: tig: atl: Assessing Mobility-Based Real-Time Air Pollution Exposure in Space and Time Using Smart Sensors and GPS Trajectories in Beijing. aug: au: Ma, Jing Tao, Yinhua Kwan, Mei-Po Chai, Yanwei affil: Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University College of Urban and Environmental Sciences, Peking University Department of Geography and Resource Management and Institute of Space and Earth Information Science, Chinese University of Hong Kong su: Beijing (China) Air pollution Real-time computing Intelligent sensors Global Positioning System sug: subj: Air pollution Beijing (China) Real-time computing Intelligent sensors Global Positioning System keyword: ambiente interior exposición a la contaminación aérea en tiempo real modos de viaje problema de contexto geográfico incierto tecnologías inteligentes ambiente interior exposición a la contaminación aérea en tiempo real modos de viaje problema de contexto geográfico incierto tecnologías inteligentes ambiente interior exposición a la contaminación aérea en tiempo real modos de viaje problema de contexto geográfico incierto tecnologías inteligentes ambiente interior exposición a la contaminación aérea en tiempo real modos de viaje problema de contexto geográfico incierto tecnologías inteligentes ab: Using real-time data from portable air pollutant sensors and smartphone Global Positioning System trajectories collected in Beijing, China, this study demonstrates how smart technologies and individual activity-travel microenvironments affect the assessment of individual-level pollution exposure in space and time at a very fine resolution. It compares three different types of individual-level exposure estimates generated by using residence-based monitoring station assessment, mobility-based monitoring station assessment, and mobility-based real-time assessment. Further, it examines the differences in personal exposure to PM associated with different activity places and travel modes across various environmental conditions. The results show that the exposure estimates generated by monitoring station assessment and real-time sensing assessment vary substantially across different activity locations and travel modes. Individual-level daily exposure for residents living in the same community also varies significantly, and there are substantial differences in exposure levels using different approaches. These results indicate that residence- or mobility-based monitoring station assessments, which cannot account for the differences in air pollutant exposures between outdoor and indoor environments and between different travel-related microenvironments, could generate considerably biased estimates of personal pollution exposure. Key Words: indoor environment, real-time exposure to air pollution, smart technologies, travel modes, the uncertain geographic context problem. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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