Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities

arXiv:2403.12074v1 Announce Type: cross
Abstract: The objective of this study is to characterize inequality in infrastructure quality across urban areas. While a growing of body of literature has recognized the importance of characterizing infrastructure inequality in cities and provided quantified metrics to inform urban development plans, the majority of the existing approaches focus primarily on measuring the quantity of infrastructure, assuming that more infrastructure is better. Also, the existing research focuses primarily on index-based approaches in which the status of …

abstract arxiv beyond cities cs.cy cs.lg development importance inequality infrastructure literature machine machine learning metrics quality study type urban