ANALYSIS OF APARTMENTS FOR SALE IN TURKEY BASED ON CITY AND REGION BY USING BIG DATA TECHNOLOGIES
Abstract
Nowadays different forms of building production
and housing presentations have been developed according to the economic
development, political and cultural structures of the countries and different
housing requirements of the households. When the lifestyle and the requirements
are considered there is a difference in the demand for housing compared to
past. In addition to housing demand for a typical household for consumption
purposes, investment demand is also very important. In this context, housing
supply should also have the flexibility to meet these changes in demand. In
this study, the distribution of the number of rooms, declared sales price, unit
sales price per square meter of 407.660 apartments were analyzed based on the
city and districts of Turkey. All apartments for sale on the Internet for 81
cities of Turkey for the first six months of 2017 were included in the study.
Also, the number of student quotas and dormitory capacities for higher
education for each city in Turkey were compared with the number of one-bedroom
apartment buildings for sale in the corresponding cities. Big data technology
was utilized for retrieving, storing, calculating and analyzing the data in
this study.
Keywords
Housing demand,Housing preferences,Housing features,Big Data
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