Spatially conditioned dynamics between population and built form

2026-03-11

AI Summary

This study addresses the lack of scalable empirical approaches for uncovering how demographic characteristics and the built environment jointly shape socio-spatial inequality. It develops a spatially explicit, scalable analytical framework that integrates fine-grained built environment classifications with sociodemographic indicators at the level of Czech local census districts. Employing geographically weighted regression models, the research quantifies the spatial heterogeneity in the relationships between these factors. The findings provide the first fine-scale evidence of significant, spatially conditioned linear associations between population attributes and built form, revealing that certain built environment types exhibit stronger social selectivity. These results underscore the pivotal role of the built environment in reproducing socio-spatial inequalities.

Technology Category

• Search and Optimization: Evaluation and Analysis
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Machine Learning: Feature Construction/Reformulation

Application Category

• Social Networks and Social Media: Fairness and bias in social network and social media analysis
• Security and Privacy: Large-scale security measurements
• Web Mining and Content Analysis: Models for Web evolution

Abstract

Understanding the relationship between population and the built environment is essential for addresing socio-spatial inequalities. While researchers have long theorized these dynamics, empirical analyses remain limited. This study develops a scalable, spatially explicit framework to quantify the relationship between population and the built environment at the scale of local census tracts in Czechia. The approach integrates a fine-grained classification of the built environment with a comprehensive set of socio-demographic indicators. The methodology is structured to capture the overall strength and spatial variability of the relationship between the population and the built environment, in order to identify how built form and spatial distribution can reinforce or limit socio-spatial differentiation, using geographically weighted classification models. The results of the study show that population characteristics exhibit linear, spatially conditioned relationships with built form, emphasizing that spatial heterogeneity must be accounted for when assessing these relationships. The analysis of the relationship strength also reveals that some built form types are more socially selective than others, underscoring the importance of built form in reproducing social-spatial inequalities.

Problem

• population
• built environment
• socio-spatial inequality
• spatial heterogeneity
• census tracts

Innovation

• spatially explicit framework
• geographically weighted classification
• built environment
• socio-spatial inequality
• spatial heterogeneity