Public Perception of Urban Air Quality Using Volunteered Geographic Information Services

Detalhes bibliográficos
Autor(a) principal: Grossberndt, Sonja
Data de Publicação: 2020
Outros Autores: Schneider, Philipp, Liu, Hai-Ying, Fredriksen, Mirjam F., Castell, Nuria, Syropoulou, Panagiota, Bartoňová, Alena
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.17645/up.v5i4.3165
Resumo: Investigating perceived air quality (AQ) in urban areas is a rather new topic of interest. Papers presenting results from studies on perception of AQ have thus far focused on the individual characteristics leading to a certain AQ perception or have compared personal perception with on-site measurements. Here we present a novel approach, namely applying volunteered geographic information (VGI) technologies in urban AQ monitoring. We present two smartphone applications that have been developed and applied in two EU projects (FP7 CITI-SENSE and H2020 hackAIR) to obtain citizens’ perception of AQ. We focus on observations reported through the smartphone apps for the greater Oslo area in Norway. In order to evaluate whether the reports on perceived AQ contain information about the actual spatial patterns of AQ, we carried out a comparison of the perception data against the output from the high-resolution urban AQ model EPISODE. The results indicate an association between modelled annual average pollutant concentrations and the provided perception reports. This demonstrates that the spatial patterns of perceived AQ are not entirely random but follow to some extent what would be expected due to proximity of emission sources and transport. This information shows that VGI about citizens’ perception of AQ has the potential to identify areas with low environmental quality for urban development.
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spelling Public Perception of Urban Air Quality Using Volunteered Geographic Information Servicesair quality; CITI-SENSE; hackAIR; public perception; smartphone applications; volunteered geographic informationInvestigating perceived air quality (AQ) in urban areas is a rather new topic of interest. Papers presenting results from studies on perception of AQ have thus far focused on the individual characteristics leading to a certain AQ perception or have compared personal perception with on-site measurements. Here we present a novel approach, namely applying volunteered geographic information (VGI) technologies in urban AQ monitoring. We present two smartphone applications that have been developed and applied in two EU projects (FP7 CITI-SENSE and H2020 hackAIR) to obtain citizens’ perception of AQ. We focus on observations reported through the smartphone apps for the greater Oslo area in Norway. In order to evaluate whether the reports on perceived AQ contain information about the actual spatial patterns of AQ, we carried out a comparison of the perception data against the output from the high-resolution urban AQ model EPISODE. The results indicate an association between modelled annual average pollutant concentrations and the provided perception reports. This demonstrates that the spatial patterns of perceived AQ are not entirely random but follow to some extent what would be expected due to proximity of emission sources and transport. This information shows that VGI about citizens’ perception of AQ has the potential to identify areas with low environmental quality for urban development.Cogitatio2020-10-14info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.17645/up.v5i4.3165oai:ojs.cogitatiopress.com:article/3165Urban Planning; Vol 5, No 4 (2020): The City of Digital Social Innovators; 45-582183-7635reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://www.cogitatiopress.com/urbanplanning/article/view/3165https://doi.org/10.17645/up.v5i4.3165https://www.cogitatiopress.com/urbanplanning/article/view/3165/3165Copyright (c) 2020 Sonja Grossberndt, Philipp Schneider, Hai-Ying Liu, Mirjam F. Fredriksen, Nuria Castell, Panagiota Syropoulou, Alena Bartoňováhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGrossberndt, SonjaSchneider, PhilippLiu, Hai-YingFredriksen, Mirjam F.Castell, NuriaSyropoulou, PanagiotaBartoňová, Alena2022-12-20T11:00:06Zoai:ojs.cogitatiopress.com:article/3165Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:22:02.667608Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
title Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
spellingShingle Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
Grossberndt, Sonja
air quality; CITI-SENSE; hackAIR; public perception; smartphone applications; volunteered geographic information
title_short Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
title_full Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
title_fullStr Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
title_full_unstemmed Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
title_sort Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
author Grossberndt, Sonja
author_facet Grossberndt, Sonja
Schneider, Philipp
Liu, Hai-Ying
Fredriksen, Mirjam F.
Castell, Nuria
Syropoulou, Panagiota
Bartoňová, Alena
author_role author
author2 Schneider, Philipp
Liu, Hai-Ying
Fredriksen, Mirjam F.
Castell, Nuria
Syropoulou, Panagiota
Bartoňová, Alena
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Grossberndt, Sonja
Schneider, Philipp
Liu, Hai-Ying
Fredriksen, Mirjam F.
Castell, Nuria
Syropoulou, Panagiota
Bartoňová, Alena
dc.subject.por.fl_str_mv air quality; CITI-SENSE; hackAIR; public perception; smartphone applications; volunteered geographic information
topic air quality; CITI-SENSE; hackAIR; public perception; smartphone applications; volunteered geographic information
description Investigating perceived air quality (AQ) in urban areas is a rather new topic of interest. Papers presenting results from studies on perception of AQ have thus far focused on the individual characteristics leading to a certain AQ perception or have compared personal perception with on-site measurements. Here we present a novel approach, namely applying volunteered geographic information (VGI) technologies in urban AQ monitoring. We present two smartphone applications that have been developed and applied in two EU projects (FP7 CITI-SENSE and H2020 hackAIR) to obtain citizens’ perception of AQ. We focus on observations reported through the smartphone apps for the greater Oslo area in Norway. In order to evaluate whether the reports on perceived AQ contain information about the actual spatial patterns of AQ, we carried out a comparison of the perception data against the output from the high-resolution urban AQ model EPISODE. The results indicate an association between modelled annual average pollutant concentrations and the provided perception reports. This demonstrates that the spatial patterns of perceived AQ are not entirely random but follow to some extent what would be expected due to proximity of emission sources and transport. This information shows that VGI about citizens’ perception of AQ has the potential to identify areas with low environmental quality for urban development.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-14
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url https://doi.org/10.17645/up.v5i4.3165
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dc.language.iso.fl_str_mv eng
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https://doi.org/10.17645/up.v5i4.3165
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dc.publisher.none.fl_str_mv Cogitatio
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dc.source.none.fl_str_mv Urban Planning; Vol 5, No 4 (2020): The City of Digital Social Innovators; 45-58
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