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Beyond land use mix, walkable trips. An approach based on parcel-level land use data and network analysis

Author

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  • José Carpio-Pinedo
  • Manuel Benito-Moreno
  • Patxi J. Lamíquiz-Daudén

Abstract

Land use mix is one of the cornerstones for urban sustainability, in opposition to functional segregation and zoning policies. Land use mix is a prerequisite for urban proximity dynamics, healthier lifestyles and public space vitality. However, methodological shortcomings to its measurement remain and are responsible for the unexpected weak association with pedestrian activity. This study puts forward a novel method to reframe, measure and map land use mix as ‘walkable trips’, a closer approach to its benefits based on functional and spatial complementarity. The method draws on newly available cadastral microdata at the parcel-level that, combined with trip generation rates and network analysis tools, enable a detailed assessment and mapping of potential for walkable trips, as well as a proxy to the spatial patterns of urban vitality, in line with the principle of the 15-minute city. The method is applied to the case of the Madrid metropolitan area.

Suggested Citation

  • José Carpio-Pinedo & Manuel Benito-Moreno & Patxi J. Lamíquiz-Daudén, 2021. "Beyond land use mix, walkable trips. An approach based on parcel-level land use data and network analysis," Journal of Maps, Taylor & Francis Journals, vol. 17(1), pages 23-30, January.
    • Handle: RePEc:taf:tjomxx:v:17:y:2021:i:1:p:23-30
    DOI: 10.1080/17445647.2021.1875063
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    Citations

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    Cited by:

    1. Yunes Almansoub & Ming Zhong & Asif Raza & Muhammad Safdar & Abdelghani Dahou & Mohammed A. A. Al-qaness, 2022. "Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level," Land, MDPI, vol. 11(6), pages 1-28, May.
    2. Jesús López Baeza & José Carpio-Pinedo & Julia Sievert & André Landwehr & Philipp Preuner & Katharina Borgmann & Maša Avakumović & Aleksandra Weissbach & Jürgen Bruns-Berentelg & Jörg Rainer Noennig, 2021. "Modeling Pedestrian Flows: Agent-Based Simulations of Pedestrian Activity for Land Use Distributions in Urban Developments," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    3. Antonio A. Barreda-Luna & Juvenal Rodríguez-Reséndiz & Omar Rodríguez-Abreo & José Manuel Álvarez-Alvarado, 2022. "Spatial Models and Neural Network for Identifying Sustainable Transportation Projects with Study Case in Querétaro, an Intermediate Mexican City," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    4. Seung-Chul Noh & Jung-Ho Park, 2021. "Café and Restaurant under My Home: Predicting Urban Commercialization through Machine Learning," Sustainability, MDPI, vol. 13(10), pages 1-22, May.

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