Articles producció científica> Enginyeria Informàtica i Matemàtiques

Identification of robust retailing location patterns with complex network approaches

  • Identification data

    Identifier: imarina:9202562
    Authors:
    Sanchez-Saiz, Rosa MariaAhedo, VirginiaSantos, Jose IgnacioGomez, SergioGalan, Jose Manuel
    Abstract:
    The problem of location is the cornerstone of strategic decisions in retail management. This decision is usually complex and multidimensional. One of the most relevant success factors is an adequate balanced tenancy, i.e., a complementary ecosystem of retail stores in the surroundings, both in planned and unplanned areas. In this paper, we use network theory to analyze the commercial spatial interactions in all the cities of Castile and Leon (an autonomous community in north-western Spain), Madrid, and Barcelona. Our approach encompasses different proposals both for the definition of the interaction networks and for their subsequent analyses. These methodologies can be used as pre-processing tools to capture features that formalize the relational dimension for location recommendation systems. Our results unveil the retail structure of different urban areas and enable a meaningful comparison between cities and methodologies. In addition, by means of consensus techniques, we identify a robust core of commercial relationships, independent of the particularities of each city, and thus help to distinguish transferable knowledge between cities. The results also suggest greater specialization of commercial space with city size.
  • Others:

    Author, as appears in the article.: Sanchez-Saiz, Rosa Maria; Ahedo, Virginia; Santos, Jose Ignacio; Gomez, Sergio; Galan, Jose Manuel
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Gómez Jiménez, Sergio
    Keywords: Retailing Location Complex networks Community analysis Commercial structure Balanced tenancy
    Abstract: The problem of location is the cornerstone of strategic decisions in retail management. This decision is usually complex and multidimensional. One of the most relevant success factors is an adequate balanced tenancy, i.e., a complementary ecosystem of retail stores in the surroundings, both in planned and unplanned areas. In this paper, we use network theory to analyze the commercial spatial interactions in all the cities of Castile and Leon (an autonomous community in north-western Spain), Madrid, and Barcelona. Our approach encompasses different proposals both for the definition of the interaction networks and for their subsequent analyses. These methodologies can be used as pre-processing tools to capture features that formalize the relational dimension for location recommendation systems. Our results unveil the retail structure of different urban areas and enable a meaningful comparison between cities and methodologies. In addition, by means of consensus techniques, we identify a robust core of commercial relationships, independent of the particularities of each city, and thus help to distinguish transferable knowledge between cities. The results also suggest greater specialization of commercial space with city size.
    Thematic Areas: Information systems Engineering (miscellaneous) Computer science, artificial intelligence Computational mathematics Ciencias sociales Artificial intelligence
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: sergio.gomez@urv.cat
    Author identifier: 0000-0003-1820-0062
    Record's date: 2024-10-26
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s40747-021-00335-8
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Complex & Intelligent Systems. 8 (1): 83-106
    APA: Sanchez-Saiz, Rosa Maria; Ahedo, Virginia; Santos, Jose Ignacio; Gomez, Sergio; Galan, Jose Manuel (2022). Identification of robust retailing location patterns with complex network approaches. Complex & Intelligent Systems, 8(1), 83-106. DOI: 10.1007/s40747-021-00335-8
    Article's DOI: 10.1007/s40747-021-00335-8
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Artificial Intelligence,Computational Mathematics,Computer Science, Artificial Intelligence,Engineering (Miscellaneous),Information Systems
    Retailing
    Location
    Complex networks
    Community analysis
    Commercial structure
    Balanced tenancy
    Information systems
    Engineering (miscellaneous)
    Computer science, artificial intelligence
    Computational mathematics
    Ciencias sociales
    Artificial intelligence
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