Nowy termin - “On track to a green future: new insights on the impact of train transport on Warsaw suburban real estate market”- seminarium QFRG i DSLab [05.02.2024]

Serdecznie zapraszamy do wzięcia udziału w kolejnym seminarium organizowanym przez Quantitative Finance Research Group i Data Science Lab.

Podczas najbliższego spotkania wyniki swojego badania zaprezentuje Paweł Sieczak – student Międzykierunkowych studiów ekonomiczno-matematycznych WNE UW.

Spotkanie odbędzie się 5 lutego 2024 r. od godz. 17:45 online, za pośrednictwem platformy Zoom. Link do spotkania: https://uw-edu-pl.zoom.us/j/93090802007?pwd=TDk5anU2SzBqaSs0QzYreDhQcEErZz09.

Spotkanie będzie prowadzone w języku angielskim.

Prosimy o zalogowanie najpóźniej o godz. 17:40.

Abstrakt:

In this article, we study how accessibility to rail transport affects Warsaw’s suburban real estate market. A large, unique dataset of individual geo-located transactions for 2008-2020 is used to quantify the effect of the distance from rail stations and other real estate characteristics on its price. We use machine learning and XAI methods to identify that rail accessibility has a non-linear and even non-monotonic impact on real estate prices. We found that 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, we prove that ML and XAI tools can successfully identify nonlinearities and more precisely describe the relationship between the price and its predictors than traditional linear models.