Towards a new urban geography of expenditure: Using bank card transactions data to analyze multi-sector spatiotemporal distributions

The spatial distribution of commercial activities is vital to support healthy lifestyles and achieve livable public spaces environmental, social economic sustainability in our cities. However, require a constant flow expenditure for their own viability. As result, understanding the temporal fundamental, although lack detailed, complete data sources has impeded this task until now. Bank card paves way new urban geography expenditure, thanks its fine granularity along with uniform coverage all sectors. In paper, we analyze temporal, spatial, spatiotemporal distributions at intraurban scale city Madrid (Spain), combining statistical tools (Getis-Ord General global autocorrelation Getis-Ord Gi* hot spot analysis local autocorrelation) k-means cluster (Time Series Clustering Temporal Hot Spot Analysis). Our confirms strong center-periphery gradient described previous literature, but CBD integrated by distinct specialized areas. paper demonstrates that bank great potential could strengthen decision-making planning retailing.