Mapping urban change: An explainable machine learning approach to census unit classification and evolution

doi:10.1016/j.cities.2025.106295

Mapping urban change: An explainable machine learning approach to census unit classification and evolution

2025-08-05

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Miguel Alvarez-Garcia *

DOI：10.1016/j.cities.2025.106295

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Abstract

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• ML and XAI methodology to classify census units and analyze urban demographic changes. • Seven census unit clusters are identified and their spatiotemporal evolution is analyzed. • Increasing neighborhood homogeneity and citywide segregation in Madrid and Barcelona. • Generalizable methodology for urban analysis using multivariate data.

Keywords:

Urban analytics

Explainable machine learning

Census data

Demographic change

Segregation

Public service accessibility

Mapping urban change: An explainable machine learning approach to census unit classification and evolution

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