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[journal article]

dc.contributor.authorGrossberndt, Sonjade
dc.contributor.authorSchneider, Philippde
dc.contributor.authorLiu, Hai-Yingde
dc.contributor.authorFredriksen, Mirjam F.de
dc.contributor.authorCastell, Nuriade
dc.contributor.authorSyropoulou, Panagiotade
dc.contributor.authorBartoňová, Alenade
dc.date.accessioned2020-10-20T07:29:39Z
dc.date.available2020-10-20T07:29:39Z
dc.date.issued2020de
dc.identifier.issn2183-7635de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/70195
dc.description.abstractInvestigating 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.de
dc.languageende
dc.subject.ddcStädtebau, Raumplanung, Landschaftsgestaltungde
dc.subject.ddcLandscaping and area planningen
dc.subject.ddcÖkologiede
dc.subject.ddcEcologyen
dc.subject.otherCITI-SENSE; air quality; hackAIR; public perception; smartphone applications; volunteered geographic informationde
dc.titlePublic Perception of Urban Air Quality Using Volunteered Geographic Information Servicesde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urlhttps://www.cogitatiopress.com/urbanplanning/article/view/3165de
dc.source.journalUrban Planning
dc.source.volume5de
dc.publisher.countryPRT
dc.source.issue4de
dc.subject.classozRaumplanung und Regionalforschungde
dc.subject.classozArea Development Planning, Regional Researchen
dc.subject.classozÖkologie und Umweltde
dc.subject.classozEcology, Environmenten
dc.subject.thesozNorwegende
dc.subject.thesozNorwayen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10053375
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo45-58de
internal.identifier.classoz20700
internal.identifier.classoz20900
internal.identifier.journal794
internal.identifier.document32
internal.identifier.ddc710
internal.identifier.ddc577
dc.source.issuetopicThe City of Digital Social Innovatorsde
dc.identifier.doihttps://doi.org/10.17645/up.v5i4.3165de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencehttps://www.cogitatiopress.com/urbanplanning/oai/@@oai:ojs.cogitatiopress.com:article/3165
ssoar.urn.registrationfalsede


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