RT info:eu-repo/semantics/article
T1 Identification of robust retailing location patterns with complex network approaches
A1 Sánchez Saiz, Rosa María
A1 Ahedo García, Virginia
A1 Santos Martín, José Ignacio
A1 Gómez, Sergio
A1 Galán Ordax, José Manuel
K1 Retailing
K1 Location
K1 Balanced tenancy
K1 Complex networks
K1 Community analysis
K1 Commercial structure
K1 Economía
K1 Economy
K1 Industria
K1 Industry
K1 Comercio
K1 Commerce
AB 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.
PB Springer
SN 2199-4536
YR 2021
FD 2021
LK http://hdl.handle.net/10259/8250
UL http://hdl.handle.net/10259/8250
LA eng
NO The authors acknowledge financial support from the Spanish Ministry of Science, Innovation and Universities (excellence networks HAR2017-90883-REDC and RED2018‐102518‐T, and project PGC2018-094754-B-C21), the Junta de Castilla y León—Consejería de Educación through BDNS 425389 and the predoctoral grant awarded to Virginia Ahedo (supported by the European Social Fund), the Generalitat de Catalunya through grant 2017SGR-896 and the Universitat Rovira i Virgili through grant 2019PFR-URV-B2-41. In addition, we acknowledge support from the Santander Supercomputación group (University of Cantabria), that provided access to the Altamira Supercomputer—located at the Institute of Physics of Cantabria (IFCA-CSIC) and member of the Spanish Supercomputing Network.
DS Repositorio Institucional de la Universidad de Burgos
RD 08-may-2024