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Optional and necessary activities: operationalising Jan Gehl's analysis of urban space with Foursquare data

Author

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  • Damiano Cerrone
  • Jesús López Baeza
  • Panu Lehtovuori

Abstract

The paper presents a method to operationalise Jan Gehl's categorisation of dweller's activity patterns in public space using Foursquare data. The 'Urban Activity Wheel' method is instrumental in showing how location based social media data is beneficial to understand the distribution and variety of contemporary activity patterns. Re-organising both location-based social media data and statistical sources, unearths emerging activity patterns across scales from local to regional city making. Urban Activity Wheel shifts focus from the traditional functional analysis of urban space towards understanding activities and, thus, the human perspective of use, practices and new agencies. A specific analysis, the Shannon-Wiener Index of the complexity implemented on urban activities, gives further hints about the experiential qualities and development opportunities of urban spaces and neighbourhoods.

Suggested Citation

  • Damiano Cerrone & Jesús López Baeza & Panu Lehtovuori, 2020. "Optional and necessary activities: operationalising Jan Gehl's analysis of urban space with Foursquare data," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 11(1), pages 68-79.
    • Handle: RePEc:ids:ijkbde:v:11:y:2020:i:1:p:68-79
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    Cited by:

    1. Damiano Cerrone & Jesús López Baeza & Panu Lehtovuori & Daniele Quercia & Rossano Schifanella & Luca Aiello, 2021. "Implementing Gehl’s Theory to Study Urban Space. The Case of Monotowns," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    2. Alessandra Battisti & Maria Valese & Herbert Natta, 2022. "Indicators as Mediators for Environmental Decision Making: The Case Study of Alessandria," Land, MDPI, vol. 11(5), pages 1-23, April.

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