Work

Environmental Data Sensing Through Participatory Urbanism. A Best-Practice Analysis and City-Administration Perspective

Year: 2023

Type: article

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.

Source: GI_Forum

DOI: 10.1553/giscience2023_02_s3

Authors: Gerfried Mikusch, Andreas Petz, Elisabeth Steiner, Momir Tabakovic, Hilda Tellioglu

Institutions: TU Wien, Hochschule Campus Wien, University of Applied Sciences Technikum Wien

Language: English

Topic: Smart Cities and Technologies

Subfield: Urban Studies

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $539