Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data

This study analyses intra-urban consumption flows in Madrid through a spatial analysis using over 689 million anonymized bank card transactions recorded in 2023. By disaggregating data by age and income groups, the research uncovers significant variations in consumer mobility patterns and spatial pr...

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Detalles Bibliográficos
Autores: de las Obras-Loscertales, Julia, García Palomares, Juan Carlos, Ramiro-Fariñas, Diego, Hernández Martín-Caro, María Soledad, Gutiérrez Puebla, Javier
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/132332
Acceso en línea:https://hdl.handle.net/20.500.14352/132332
Access Level:acceso abierto
Palabra clave:004.6-022.59
336.58
big data
bank card transaction data
consumption
mobility
spending patterns
Geografía
Geografía económica
Geografía humana
2505 Geografía
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oai_identifier_str oai:docta.ucm.es:20.500.14352/132332
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spelling Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction datade las Obras-Loscertales, JuliaGarcía Palomares, Juan CarlosRamiro-Fariñas, DiegoHernández Martín-Caro, María SoledadGutiérrez Puebla, Javier004.6-022.59336.58big databank card transaction dataconsumptionmobilityspending patternsGeografíaGeografía económicaGeografía humana2505 GeografíaThis study analyses intra-urban consumption flows in Madrid through a spatial analysis using over 689 million anonymized bank card transactions recorded in 2023. By disaggregating data by age and income groups, the research uncovers significant variations in consumer mobility patterns and spatial preferences. Older adults and high-income groups exhibit more localized consumption behaviors, while middle-income groups demonstrate wider mobility across the city. High-income populations concentrate their activity in affluent areas, whereas central districts emerge as common ground with higher levels of social interaction. The study applies network and centrality analysis to identify functional commercial areas and their degree of connectivity, revealing strong links between sociodemographic structure and urban spatial dynamics. Results underscore the relevance of integrating consumption-related mobility into urban planning frameworks to address spatial segregation and promote social mix. The research contributes to a growing body of work leveraging Big Data to understand complex urban behaviors at a granular scale.SAGEJournalsUniversidad Complutense de Madrid20262026-02-0420262026-02-04journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/132332reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1323322026-06-02T12:44:21Z
dc.title.none.fl_str_mv Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data
title Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data
spellingShingle Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data
de las Obras-Loscertales, Julia
004.6-022.59
336.58
big data
bank card transaction data
consumption
mobility
spending patterns
Geografía
Geografía económica
Geografía humana
2505 Geografía
title_short Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data
title_full Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data
title_fullStr Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data
title_full_unstemmed Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data
title_sort Intra-urban consumption flows and sociospatial disparities: An analysis based on bank card transaction data
dc.creator.none.fl_str_mv de las Obras-Loscertales, Julia
García Palomares, Juan Carlos
Ramiro-Fariñas, Diego
Hernández Martín-Caro, María Soledad
Gutiérrez Puebla, Javier
author de las Obras-Loscertales, Julia
author_facet de las Obras-Loscertales, Julia
García Palomares, Juan Carlos
Ramiro-Fariñas, Diego
Hernández Martín-Caro, María Soledad
Gutiérrez Puebla, Javier
author_role author
author2 García Palomares, Juan Carlos
Ramiro-Fariñas, Diego
Hernández Martín-Caro, María Soledad
Gutiérrez Puebla, Javier
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 004.6-022.59
336.58
big data
bank card transaction data
consumption
mobility
spending patterns
Geografía
Geografía económica
Geografía humana
2505 Geografía
topic 004.6-022.59
336.58
big data
bank card transaction data
consumption
mobility
spending patterns
Geografía
Geografía económica
Geografía humana
2505 Geografía
description This study analyses intra-urban consumption flows in Madrid through a spatial analysis using over 689 million anonymized bank card transactions recorded in 2023. By disaggregating data by age and income groups, the research uncovers significant variations in consumer mobility patterns and spatial preferences. Older adults and high-income groups exhibit more localized consumption behaviors, while middle-income groups demonstrate wider mobility across the city. High-income populations concentrate their activity in affluent areas, whereas central districts emerge as common ground with higher levels of social interaction. The study applies network and centrality analysis to identify functional commercial areas and their degree of connectivity, revealing strong links between sociodemographic structure and urban spatial dynamics. Results underscore the relevance of integrating consumption-related mobility into urban planning frameworks to address spatial segregation and promote social mix. The research contributes to a growing body of work leveraging Big Data to understand complex urban behaviors at a granular scale.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026-02-04
2026
2026-02-04
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/132332
url https://hdl.handle.net/20.500.14352/132332
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SAGEJournals
publisher.none.fl_str_mv SAGEJournals
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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