<div class="csl-bib-body">
<div class="csl-entry">Mikusch, G., Petz, A., Steiner, E., Tabakovic, M., & Tellioglu, H. (2023). Environmental data sensing through participatory urbanism. A best-practice analysis and city-administration perspective. <i>GI_Forum - Journal for Geographic Information Science</i>, <i>11</i>(2), 3–17. https://doi.org/10.1553/giscience2023_02_s3</div>
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dc.identifier.issn
2308-1708
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193034
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dc.description.abstract
The number of easy-to-use artefacts for environmental data collection is rising. Various scientific projects and private initiatives are addressing how to measure urban data in dense sensor networks by applying devices to public infrastructure or by using citizens. The latter is often done to raise both public awareness and that of administrations and governments. Best practices that use or collect environmental parameters and measurements related to the quality of public spaces (e.g., noise, heat, particulate matter) are central. This work presents data points, analysis parameters and a structured overview of best practices in this field. The results show applications of best practices, ranging from permanently mounted sensors mainly driven by municipalities, to participatory urbanism approaches, where users actively collect environmental data. Additionally, the example of the City of Vienna gives an administrative perspective on incorporating co-creation approaches. Supporting factors for cooperation with private initiatives operating participatory sensing projects are shown; challenges arise when urban participation meets administrative structures.
en
dc.language.iso
en
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dc.relation.ispartof
GI_Forum - Journal for Geographic Information Science
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dc.rights.uri
http://creativecommons.org/licenses/by-nd/4.0/
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dc.subject
dense sensor networks
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dc.subject
environmental data collection
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dc.subject
participatory urbanism
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dc.subject
quality of public space
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dc.subject
sustainability
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dc.title
Environmental data sensing through participatory urbanism. A best-practice analysis and city-administration perspective
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dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Attribution-NoDerivatives 4.0 International
en
dc.rights.license
Creative Commons Namensnennung - Keine Bearbeitungen 4.0 International