The analysis uses official Madrid and Barcelona premise data, official municipal boundaries, INE ADRH 2023 income, INE Censo 2024 population, and MITMS/spanishoddata OD data for one complete Monday-Sunday week. This report tests one spatial hypothesis: OD-derived dynamic demand components and functional corridor exposure add explanatory power beyond static residential demand in grid-discretised active service-premise intensity models, with fixed-theta negative-binomial fits used as the main overdispersion-sensitive comparison. The hypothesis is tested descriptively, not causally. The observed point pattern is the location of active service premises. The line pattern is a set of high-flow OD desire-line corridors derived from hourly MITMS mobility flows. The main statistical comparison is between static population-income intensity, dynamic OD intensity, dynamic OD plus corridor exposure, and a full static plus dynamic plus corridor specification.

This analysis report applies the Apriori algorithm on survey data to uncover associations among human behavior, demographics, and habits. It details data cleaning, categorical transformation, and transaction conversion. Analyses reveal distinct patterns across gender, age groups, and lifestyle habits, offering insights into young human behavior interdependencies.