B1137
Title: On track to a green future: New insights on the impact of train transport on Warsaw suburban real estate market
Authors: Piotr Wojcik - University of Warsaw (Poland) [presenting]
Abstract: The aim of the research is to study how accessibility to rail transport affects Warsaw's suburban real estate market. A large, unique dataset of individual geolocated transactions for 2008-2020 is used to quantify the effect of the distance from rail stations and other real estate characteristics on its price. Machine learning and XAI methods are used to identify non-linear relationships. It was found that rail accessibility has a significant impact on real estate prices. Proximity to the station increases the price of all properties except for those closest to the station, indicating overall that people want to live near train transport hubs. Furthermore, it is proven that ML and XAI tools can successfully identify nonlinearities and, more precisely, describe the relationship between the price and its predictors.
