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Public Perception of Urban Air Quality Using Volunteered Geographic Information Services

Author

Listed:
  • Sonja Grossberndt

    (Environmental Impacts and Sustainability Department, NILU—Norwegian Institute for Air Research, Norway)

  • Philipp Schneider

    (Urban Environment and Industry Department, NILU—Norwegian Institute for Air Research, Norway)

  • Hai-Ying Liu

    (Environmental Impacts and Sustainability Department, NILU—Norwegian Institute for Air Research, Norway)

  • Mirjam F. Fredriksen

    (Software and Hardware Development Department, NILU—Norwegian Institute for Air Research, Norway)

  • Nuria Castell

    (Urban Environment and Industry Department, NILU—Norwegian Institute for Air Research, Norway)

  • Panagiota Syropoulou

    (DRAXIS Environmental S.A., Greece)

  • Alena Bartoňová

    (Urban Environment and Industry Department, NILU—Norwegian Institute for Air Research, Norway)

Abstract

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.

Suggested Citation

  • Sonja Grossberndt & Philipp Schneider & Hai-Ying Liu & Mirjam F. Fredriksen & Nuria Castell & Panagiota Syropoulou & Alena Bartoňová, 2020. "Public Perception of Urban Air Quality Using Volunteered Geographic Information Services," Urban Planning, Cogitatio Press, vol. 5(4), pages 45-58.
    • Handle: RePEc:cog:urbpla:v:5:y:2020:i:4:p:45-58
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    References listed on IDEAS

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    1. Samuel D. Brody & B. Mitchell Peck & Wesley E. Highfield, 2004. "Examining Localized Patterns of Air Quality Perception in Texas: A Spatial and Statistical Analysis," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1561-1574, December.
    2. Denise Howel & Suzanne Moffatt & Helen Prince & Judith Bush & Christine E Dunn, 2002. "Urban Air Quality in North‐East England: Exploring the Influences on Local Views and Perceptions," Risk Analysis, John Wiley & Sons, vol. 22(1), pages 121-130, February.
    3. Christian Oltra & Roser Sala, 2018. "Perception of risk from air pollution and reported behaviors: a cross-sectional survey study in four cities," Journal of Risk Research, Taylor & Francis Journals, vol. 21(7), pages 869-884, July.
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    Cited by:

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    2. Kinga Szopińska & Agnieszka Cienciała & Agnieszka Bieda & Janusz Kwiecień & Łukasz Kulesza & Piotr Parzych, 2022. "Verification of the Perception of the Local Community concerning Air Quality Using ADMS-Roads Modeling," IJERPH, MDPI, vol. 19(17), pages 1-28, September.
    3. Chiara Certomà & Mark Dyer & Antonella Passani, 2020. "The City of Digital Social Innovators," Urban Planning, Cogitatio Press, vol. 5(4), pages 1-7.

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