RT Journal Article
T1 Towards a new urban geography of expenditure: Using bank card transactions data to analyze multi-sector spatiotemporal distributions
A1 Carpio Pinedo, Jose
A1 Romanillos Arroyo, Gustavo
A1 Aparicio, Daniel
A1 Hernández Martín-Caro, María Soledad
A1 García Palomares, Juan Carlos
A1 Gutiérrez Puebla, Javier
AB The spatial distribution of commercial activities is vital to support healthy lifestyles and to achieve livable public spaces and environmental, social and economic sustainability in our cities. However, commercial activities require a constant flow of expenditure for their own viability. As a result, understanding the spatial and temporal distribution of expenditure is fundamental, although the lack of detailed, complete data sources has impeded this task until now.Bank card data paves the way for a new urban geography of expenditure, thanks to its fine spatial and temporal granularity along with the uniform coverage of all commercial sectors. In this paper, we analyze temporal, spatial, and spatiotemporal distributions of expenditure at the intraurban scale of the city of Madrid (Spain), combining spatial statistical tools (Getis-Ord General for global autocorrelation and Getis-Ord Gi* hot spot analysis for local autocorrelation) with k-means cluster analysis and spatiotemporal tools (Time Series Clustering analysis and Temporal Hot Spot Analysis).Our analysis confirms the strong center-periphery gradient described in previous literature, but with a CBD integrated by distinct specialized areas. The paper demonstrates that bank card data has a great potential to support a new geography of expenditure that could strengthen decision-making in planning and retailing.
PB Elsevier
SN 0264-2751
YR 2022
FD 2022-08-10
LK https://hdl.handle.net/20.500.14352/71888
UL https://hdl.handle.net/20.500.14352/71888
LA eng
NO CRUE-CSIC (Acuerdos Transformativos 2022)
NO Ministerio de Ciencia e Innovación (MICINN)//AEI/ 10.13039/501100011033
NO Comunidad de Madrid
DS Docta Complutense
RD 7 abr 2025