dc.contributor.author | Chiarini, Bruno | de |
dc.contributor.author | D'Agostino, Antonella | de |
dc.contributor.author | Marzano, Elisabetta | de |
dc.contributor.author | Regoli, Andrea | de |
dc.date.accessioned | 2022-06-22T11:52:52Z | |
dc.date.available | 2022-06-22T11:52:52Z | |
dc.date.issued | 2021 | de |
dc.identifier.issn | 1470-160X | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/79667 | |
dc.description.abstract | Urban areas are major consumers of environmental resources and thus often place unsustainable demands on natural resources. As half of the world’s population (55%) lives in urban areas, the environmental degradation produced by cities threatens the health and quality of life of a fair share of the world’s population. For these reasons, progress towards sustainable urban development must be monitored and measured through suitable indicators. With reference to the assessment of air quality as a specific dimension of environmental quality in urban areas, existing studies have introduced various methodologies that mostly focus on objective measures (typically, exposure to outdoor air pollutants) while neglecting measures based on individual perceptions. Our goal is to contribute to filling this gap. To this end, we explore the relationship between objective and subjective measures of urban air quality in European countries. While the objective indicator is based on concentrations of PM2.5, our subjective indicator is reconstructed from individual perceptions collected through the European Union Statistics on Income and Living Conditions (EU-SILC) sample survey. Finally, through a cluster analysis, we classify the countries into homogeneous groups based on the values of these indicators. Our analysis reveals several differences in the country rankings according to the two indicators. For one group of countries, both approaches converge, thus leading to more definitive conclusions. For other countries, the mismatch between the two indicators suggests that either approach alone is not able to capture the full picture on air quality in urban environments. | de |
dc.language | en | de |
dc.subject.ddc | Städtebau, Raumplanung, Landschaftsgestaltung | de |
dc.subject.ddc | Landscaping and area planning | en |
dc.subject.ddc | Ökologie | de |
dc.subject.ddc | Ecology | en |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | Environmental quality; Objective and subjective indicators; Urban areas/cities; European countries; European Union Statistics on Income and Living Conditions (EU-SILC) 2013 | de |
dc.title | Air quality in urban areas: Comparing objective and subjective indicators in European countries | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Ecological Indicators | |
dc.source.volume | 121 | de |
dc.publisher.country | NLD | de |
dc.subject.classoz | Raumplanung und Regionalforschung | de |
dc.subject.classoz | Area Development Planning, Regional Research | en |
dc.subject.classoz | Ökologie und Umwelt | de |
dc.subject.classoz | Ecology, Environment | en |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Luft | de |
dc.subject.thesoz | air | en |
dc.subject.thesoz | Qualität | de |
dc.subject.thesoz | quality | en |
dc.subject.thesoz | Umweltverschmutzung | de |
dc.subject.thesoz | environmental pollution | en |
dc.subject.thesoz | Umwelt | de |
dc.subject.thesoz | environment | en |
dc.subject.thesoz | Stadtregion | de |
dc.subject.thesoz | urban area | en |
dc.subject.thesoz | Stadtentwicklung | de |
dc.subject.thesoz | urban development | en |
dc.subject.thesoz | nachhaltige Entwicklung | de |
dc.subject.thesoz | sustainable development | en |
dc.subject.thesoz | Messung | de |
dc.subject.thesoz | measurement | en |
dc.subject.thesoz | Indikator | de |
dc.subject.thesoz | indicator | en |
dc.subject.thesoz | Indikatorenbildung | de |
dc.subject.thesoz | construction of indicators | en |
dc.subject.thesoz | Europa | de |
dc.subject.thesoz | Europe | en |
dc.subject.thesoz | Stadt | de |
dc.subject.thesoz | town | en |
dc.subject.thesoz | Cluster-Analyse | de |
dc.subject.thesoz | cluster analysis | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-79667-5 | |
dc.rights.licence | Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0 | en |
ssoar.contributor.institution | FDB | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10045124 | |
internal.identifier.thesoz | 10037327 | |
internal.identifier.thesoz | 10045125 | |
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internal.identifier.thesoz | 10047135 | |
internal.identifier.thesoz | 10042879 | |
internal.identifier.thesoz | 10035389 | |
internal.identifier.thesoz | 10035501 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 1-9 | de |
internal.identifier.classoz | 20700 | |
internal.identifier.classoz | 20900 | |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 2397 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 710 | |
internal.identifier.ddc | 577 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.1016/j.ecolind.2020.107144 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 20 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
dc.subject.classhort | 10100 | de |
dc.subject.classhort | 20900 | de |
dc.subject.classhort | 20700 | de |
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