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An Interdisciplinary Mixed-Methods Approach to Analyzing Urban Spaces: The Case of Urban Walkability and Bikeability

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  • Bernd Resch

    (Department of Geoinformatics—Z_GIS, University of Salzburg, 5020 Salzburg, Austria
    Institute for Quantitative Social Science, Harvard University, Cambridge, MA 02138, USA)

  • Inga Puetz

    (Department of Geoinformatics—Z_GIS, University of Salzburg, 5020 Salzburg, Austria)

  • Matthias Bluemke

    (GESIS—Leibniz Institute for the Social Sciences, 68159 Mannheim, Germany)

  • Kalliopi Kyriakou

    (Department of Geoinformatics—Z_GIS, University of Salzburg, 5020 Salzburg, Austria)

  • Jakob Miksch

    (Department of Geoinformatics—Z_GIS, University of Salzburg, 5020 Salzburg, Austria)

Abstract

Human-centered approaches are of particular importance when analyzing urban spaces in technology-driven fields, because understanding how people perceive and react to their environments depends on several dynamic and static factors, such as traffic volume, noise, safety, urban configuration, and greenness. Analyzing and interpreting emotions against the background of environmental information can provide insights into the spatial and temporal properties of urban spaces and their influence on citizens, such as urban walkability and bikeability. In this study, we present a comprehensive mixed-methods approach to geospatial analysis that utilizes wearable sensor technology for emotion detection and combines information from sources that correct or complement each other. This includes objective data from wearable physiological sensors combined with an eDiary app, first-person perspective videos from a chest-mounted camera, and georeferenced interviews, and post-hoc surveys. Across two studies, we identified and geolocated pedestrians’ and cyclists’ moments of stress and relaxation in the city centers of Salzburg and Cologne. Despite open methodological questions, we conclude that mapping wearable sensor data, complemented with other sources of information—all of which are indispensable for evidence-based urban planning—offering tremendous potential for gaining useful insights into urban spaces and their impact on citizens.

Suggested Citation

  • Bernd Resch & Inga Puetz & Matthias Bluemke & Kalliopi Kyriakou & Jakob Miksch, 2020. "An Interdisciplinary Mixed-Methods Approach to Analyzing Urban Spaces: The Case of Urban Walkability and Bikeability," IJERPH, MDPI, vol. 17(19), pages 1-20, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:6994-:d:418872
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    References listed on IDEAS

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    Cited by:

    1. Tijana Đorđević & Nemanja Tomić & Dajana Tešić, 2023. "Walkability and Bikeability for Sustainable Spatial Planning in the City of Novi Sad (Serbia)," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    2. Minou Weijs-Perrée & Gamze Dane & Pauline van den Berg, 2021. "Editorial for the Special Issue on “Experiencing the City: The Relation between Urban Design and People’s Well-Being”," IJERPH, MDPI, vol. 18(5), pages 1-6, March.
    3. Christian Werner & Elisabeth Füssl & Jannik Rieß & Bernd Resch & Florian Kratochwil & Martin Loidl, 2022. "A Framework to Facilitate Advanced Mixed Methods Studies for Investigating Interventions in Road Space for Cycling," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    4. Bogyeong Lee & Hyunsoo Kim, 2022. "Two-Step k -means Clustering Based Information Entropy for Detecting Environmental Barriers Using Wearable Sensor," IJERPH, MDPI, vol. 19(2), pages 1-16, January.
    5. Amit Birenboim & Pazit Ben-Nun Bloom & Hila Levit & Itzhak Omer, 2021. "The Study of Walking, Walkability and Wellbeing in Immersive Virtual Environments," IJERPH, MDPI, vol. 18(2), pages 1-18, January.
    6. Haeryung Lee & Seung-Nam Kim, 2021. "Perceived Safety and Pedestrian Performance in Pedestrian Priority Streets (PPSs) in Seoul, Korea: A Virtual Reality Experiment and Trace Mapping," IJERPH, MDPI, vol. 18(5), pages 1-17, March.

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