RT journal article
T1 UrbanIneq: an open framework for urban accessibility datasets with potential socio-spatial inequality patterns
A1 Jiménez Revuelta, José Carlos
A1 Montero Lopez, José Ismael
A1 Ramírez Cobo, Josefa
A2 Estadística e Investigación Operativa
K1 Socio-spatial inequalities
K1 Open urban data
K1 Urban analytics
K1 Accessibility
K1 Algorithmic fairness
K1 Urban data science
K1 Geographic Information Systems (GIS)
AB Urban planning increasingly relies on data-driven approaches to support decision-making. However, the growing adoption of computational and machine learning methods in urban contexts also raises important concerns regarding the reproduction and amplification of existing socio-spatial inequalities, particularly when datasets contain historical biases affecting vulnerable population groups. At the same time, openly accessible and harmonized urban datasets integrating socioeconomic information with spatial accessibility indicators remain scarce in the literature, hindering reproducible urban accessibility and socio-spatial inequality studies.This paper presents UrbanIneq, an open-source platform designed for the automated retrieval, integration, and analysis of urban datasets across municipalities in Andalusia, Spain. The framework combines publicly available spatial and socioeconomic data with GIS-based accessibility measures to Urban Green Spaces (UGS) and Healthcare Facilities (HCF) at census-section level. UrbanIneq integrates R-based geospatial analysis, a Python FastAPI backend, and a React-based web interface within a fully reproducible and containerized workflow. By providing harmonized and research-ready urban datasets through an interoperable infrastructure, the platform is intended to support researchers and policy makers in the analysis of urban inequalities affecting disadvantaged population groups.
YR 2026
FD 2026
LK http://hdl.handle.net/10498/39696
UL http://hdl.handle.net/10498/39696
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026