Esin Ayşe Zaimoğlu

The Impact of Crime and Spatial Features on Housing Prices: An Explainable AI Approach in New York City

This study presents a machine learning–based framework that integrates spatially linked real estate transaction data and crime records to predict residential property prices in the New York City (NYC) housing market over the period 2010–2024. The motivation stems from the limitation of traditional valuation approaches,...