Paper Info
Title
Land Price Forecasting Research By Macro And Micro Factors And Real Estate Market Utilization Plan Research By Landscape Factors: Big Data Analysis Approach
Abstract
In real estate, there are various variables for the forecasting of future land prices, in addition to the macro and micro perspectives used in the current research. Examples of such variables are the economic growth rate, unemployment rate, regional development and important locations, and transportation. Therefore, in this paper, data on real estate and national price fluctuation rates were used to predict the ways in which future land prices will fluctuate, and macro and micro perspective variables were actively utilized in order to conduct land analysis based on Big Data analysis. We sought to understand what kinds of variables directly affect the fluctuation of the land, and to use this for future land price analysis. In addition to the two variables mentioned above, the factor of the landscape was also confirmed to be closely related to the real estate market. Therefore, in order to check the correlation between the landscape and the real estate market, we will examine the factors which change the land price in the landscape district, and then discuss how the landscape and real estate can interact. As a result, re-explaining the previous contents, the future land price is predicted by actively utilizing macro and micro variables in real estate land price prediction. Through this method, we want to increase the accuracy of the real estate market, which is difficult to predict, and we hope that it will be useful in the real estate market in the future.
Year
DOI
Venue
2021
10.3390/sym13040616
SYMMETRY-BASEL
Keywords
DocType
Volume
landscape, micro factor, macro factor, real estate market, Big Data analysis, Big Data, land price, R and Python, land Big Data
Journal
13
Issue
Citations 
PageRank 
4
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Sang-Hyang Lee100.34
Jae-Hwan Kim200.34
Jun-Ho Huh300.68