Akademik Veri Yönetim Sistemi
MEGARON, cilt.19, sa. 2, ss.259-274, 2024 (ESCI)
Earthquakes have a significant impact on the real estate sector. Damage caused by earthquakes
leads to an imbalance in the supply and demand for housing, thus temporarily causing
stagnation in the real estate sector. Two earthquakes occurred in the Pazarcık and Elbistan
districts of Kahramanmaraş on February 6, 2023, at 04:17 am with a magnitude of 7.7 and at
13:24 pm with a magnitude of 7.6. A machine learning-based model was created to analyze
the change in house prices and the variables affecting the price during the earthquake, which
is called "the Disaster of the Century." After the earthquake, the prices of houses for sale in the
central districts of Adana province (Seyhan, Yüreğir, Sarıçam, and Çukurova), where there was
the least damage, were collected from the relevant website with a web scraper. These data were
classified as categorical and numerical datasets, and the necessary pre-processing stage for
machine learning algorithms was performed. The characteristics that change and are effective
in housing preferences before the earthquake (February 2022) and after the earthquake
(February 2023) were determined by the decision tree method, which is one of the machine
learning algorithms. In this context, it is aimed to determine the housing variables that are
effective in before- and after-earthquake pricing in the central districts of Adana province.
In the study, while 'Building Age and Number of Rooms' are effective in determining the
price in 2022, 'Housing Shape and Facade' features come to the fore in 2023. The housing
characteristics that affect the price change in two years. The change in housing preference
criteria after the earthquake shows that the lifestyle in cities has also changed. According to
this change, it requires the development of new approaches in urban design and planning
approaches and is expected to be a reference for future studies.