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Urban retail location: Insights from percolation theory and spatial interaction modeling

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  • Duccio Piovani
  • Carlos Molinero
  • Alan Wilson

Abstract

Characterising road networks has been the focus of a large body of research due to it being the main driver of activities in an urban ecosystem and the structuring factor in the dynamics of the city. One of these activities, and one with the largest economical impact in a city, is retail dynamics and its evolution. Therefore, the mathematical modeling of the location of retail activities and of the emergence of clustering in retail centers has as well generated a large number of works. Despite these two interwoven components strongly depending on one another and their fundamental importance in understanding cities, little work has been done in order to compare their local and global properties. Here we compare the road network’s hierarchical structure, unveiled through a percolation analysis of the network, with the retail location distribution defined by exploiting a gravity-based retail model. We interpret the great agreement in the city’s organizations as it emerges from both methodologies as new evidence of the interdependence of these two crucial dimensions of a city’s life.

Suggested Citation

  • Duccio Piovani & Carlos Molinero & Alan Wilson, 2017. "Urban retail location: Insights from percolation theory and spatial interaction modeling," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-13, October.
    • Handle: RePEc:plo:pone00:0185787
    DOI: 10.1371/journal.pone.0185787
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    References listed on IDEAS

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    Cited by:

    1. Xinyu Hu & Yidian Wang & Hui Wang & Yi Shi, 2022. "Hierarchical Structure of the Central Areas of Megacities Based on the Percolation Theory—The Example of Lujiazui, Shanghai," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    2. Rui Colaço & João de Abreu e Silva, 2021. "Commercial Classification and Location Modelling: Integrating Different Perspectives on Commercial Location and Structure," Land, MDPI, vol. 10(6), pages 1-19, May.
    3. Zhuoran Shan & Xuehan Shen & Man Yuan, 2022. "Exploring the Relationship between the Clustering Degree of Children’s Business Formats and the Attractiveness of Commercial Centers in Wuhan by Modifying the Classic Retail Model," Land, MDPI, vol. 11(8), pages 1-21, July.
    4. Yu Sun & Feng Lian & Zhong-Zhen Yang, 2022. "Optimizing the location of physical shopping centers under the clicks-and-mortar retail mode," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2288-2314, February.

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