*2.5. Real Estate Market Big Data Analysis System and Technique*

As a recent example of public data use, Ziptoss has become popular as an on- and offline-owned real estate brokerage service without fees. As one of its advantages, if the customer receives information directly from the landlord and makes the quality of the information transparent, and a customer makes an online inquiry, there is no fee for anyone who connects to a direct store to obtain a room, and only the person who sells the product is charged a fee. Ziptoss operates the building register, road name address information Supreme Court, land use regulation system, and road condition public data to receive information about the building and information related to the rent, building price, and actual trading price. *2.5. Real Estate Market Big Data Analysis System and Technique*  Real estate big data analysis systems need to analyze using models, integrate predicted results, and perform optimization simulations in order to be utilized as a real estate policy tool. In addition, through the visualization process, the demand of the real estate market displays information such as supply and land price, and an algorithm for the analysis and accuracy of the result is required. In particular, the collection and real-time mon-Real estate big data analysis systems need to analyze using models, integrate predicted results, and perform optimization simulations in order to be utilized as a real estate policy tool. In addition, through the visualization process, the demand of the real estate market displays information such as supply and land price, and an algorithm for the analysis and accuracy of the result is required. In particular, the collection and real-time monitoring of unstructured data such as SNS (Social Network Service) media and newspaper articles should be reflected. This allows you to extract useful information, manage the real estate market in real time through a refining process, and actively manage it on a regular basis in order to stabilize the real estate market and exert policy effects. It is necessary to prepare a compatible system. Then, research using market analysis and prediction models through big data technology which can be applied to various real estates should be continued. Based on these technologies, the technology for analyzing real estate prices of public and private institutions introduced in Section 2.4 was created [7]. In addition, technologies used in real estate-related analysis technologies are being studied through regression analysis [19–22], artificial neural networks [23], data mining [24], predictive modeling [25,26], and machine learning [27]. Research should be conducted based on accuracy and efficiency.

#### itoring of unstructured data such as SNS (Social Network Service) media and newspaper *2.6. The Possibility of Using Real Estate Big Data*

articles should be reflected. This allows you to extract useful information, manage the real estate market in real time through a refining process, and actively manage it on a regular basis in order to stabilize the real estate market and exert policy effects. It is necessary to prepare a compatible system. Then, research using market analysis and prediction models through big data technology which can be applied to various real estates should be continued. Based on these technologies, the technology for analyzing real estate prices of public and private institutions introduced in Section 2.4 was created [7]. In addition, technologies used in real estate-related analysis technologies are being studied through regression analysis [19–22], artificial neural networks [23], data mining [24], predictive modeling [25,26], and machine learning [27]. Research should be conducted based on accuracy and In the real estate market, Big Data is a suitable technology for approaching current issues and policies. It is believed to be able to support real-estate–related activities through the use of Big Data, and to respond to future problems through future prediction [28]. Therefore, real estate Big Data should be derived to reflect the various factors comprehensively and proceed to the best process. Currently, the Korean market is preparing for difficult or unpredictable situations, such as going back and forth between cold and hot water like riding a roller coaster. It is expected to be effective in solving the problems for the purpose. Therefore, it is necessary to find a way to graft into the real estate market by referring to the use cases of Big Data technology and recent trends [14]. Figure 3 shows the real estate Big Data in the STEEP (Social, Technological, Economic, Ecological, and Political) type.

Political) type.

*2.6. The Possibility of Using Real Estate Big Data* 

In the real estate market, Big Data is a suitable technology for approaching current issues and policies. It is believed to be able to support real-estate–related activities through the use of Big Data, and to respond to future problems through future prediction [28]. Therefore, real estate Big Data should be derived to reflect the various factors comprehensively and proceed to the best process. Currently, the Korean market is preparing for difficult or unpredictable situations, such as going back and forth between cold and hot water like riding a roller coaster. It is expected to be effective in solving the problems for the purpose. Therefore, it is necessary to find a way to graft into the real estate market by referring to the use cases of Big Data technology and recent trends [14]. Figure 3 shows

**Figure 3.** Real estate Big Data utilization plan system. **Figure 3.** Real estate Big Data utilization plan system.

## **3. Real Estate Market After Land Price Prediction Study 3. Real Estate Market after Land Price Prediction Study**

The real estate market belongs to a typical area in which it is difficult to predict the 'after' situation. As a result, even experts agree that the area of interest is likely to skyrocket. There are various factors for investigating the 'after' of real estate, in addition to macro and micro variables [29]. In this paper, however, we examined the factors for forecasting real estate land prices through macro variables and micro variables. If we look at the entire real estate market over the long term, the macro perspective has a great influence. Likewise, in the short term, the micro perspective has a high impact. Nonetheless, it is necessary to consider both, because their effects may be intertwined. Therefore, the re-The real estate market belongs to a typical area in which it is difficult to predict the 'after' situation. As a result, even experts agree that the area of interest is likely to skyrocket. There are various factors for investigating the 'after' of real estate, in addition to macro and micro variables [29]. In this paper, however, we examined the factors for forecasting real estate land prices through macro variables and micro variables. If we look at the entire real estate market over the long term, the macro perspective has a great influence. Likewise, in the short term, the micro perspective has a high impact. Nonetheless, it is necessary to consider both, because their effects may be intertwined. Therefore, the research focused on two factors in the ground prediction.

search focused on two factors in the ground prediction. Currently, the center of real estate investment in the Republic of Korea has changed from 4,50 to 2,30. The reason for the high number of housing transactions for the 20th and 30th generations is that the supply of employment and restrictions on housing construction have been relaxed. If this continues, however, not only will speculation overheating be a concern, but investment risks will increase. That is why real estate transactions are very important to the macro economy. Still, the micro economy is just as important as the macro economy. Just as stock in the 'after' value and credibility of a company, real estate must also look at the location and current situation. Therefore, this paper seeks to confirm Currently, the center of real estate investment in the Republic of Korea has changed from 4,50 to 2,30. The reason for the high number of housing transactions for the 20th and 30th generations is that the supply of employment and restrictions on housing construction have been relaxed. If this continues, however, not only will speculation overheating be a concern, but investment risks will increase. That is why real estate transactions are very important to the macro economy. Still, the micro economy is just as important as the macro economy. Just as stock in the 'after' value and credibility of a company, real estate must also look at the location and current situation. Therefore, this paper seeks to confirm that some factors have a high influence on land prices aside from the two factors [30].

that some factors have a high influence on land prices aside from the two factors [30]. Figure 4 is a blueprint of how big data is analyzed in the real estate market, and how to organize it before getting the result. The target area for the analysis is Gangnam-gu, and the data collection is based on information provided by public data portals and public institutions. Subsequently, through multiple regression analysis and correlation analysis, as a result, we seek out the most influential factors for real estate market prices.

as a result, we seek out the most influential factors for real estate market prices.

as a result, we seek out the most influential factors for real estate market prices.

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Figure 4 is a blueprint of how big data is analyzed in the real estate market, and how to organize it before getting the result. The target area for the analysis is Gangnam-gu, and the data collection is based on information provided by public data portals and public institutions. Subsequently, through multiple regression analysis and correlation analysis,

Figure 4 is a blueprint of how big data is analyzed in the real estate market, and how to organize it before getting the result. The target area for the analysis is Gangnam-gu, and the data collection is based on information provided by public data portals and public institutions. Subsequently, through multiple regression analysis and correlation analysis,

**Figure 4.** Real estate market future land price forecast research flow chart system. **Figure 4.** Real estate market future land price forecast research flow chart system. **Figure 4.** Real estate market future land price forecast research flow chart system.

#### *3.1. Macroscopic View of the Real Estate Market 3.1. Macroscopic View of the Real Estate Market*

*3.1. Macroscopic View of the Real Estate Market*  The macro view is that the social structure dominates an individual's thinking, and assumes that the individual acts in a structured manner under the influence of the social structure. [31–33]. Figure 5 explains the factors of the macroscopic data. The macro view is that the social structure dominates an individual's thinking, and assumes that the individual acts in a structured manner under the influence of the social structure [31–33]. Figure 5 explains the factors of the macroscopic data. The macro view is that the social structure dominates an individual's thinking, and assumes that the individual acts in a structured manner under the influence of the social structure. [31–33]. Figure 5 explains the factors of the macroscopic data.

**Figure 5.** Macroscopic factors in the real estate market system. **Figure 5.** Macroscopic factors in the real estate market system. **Figure 5.** Macroscopic factors in the real estate market system.

## 3.1.1. Growth Rate of Young People Participating in the Company 3.1.1. Growth Rate of Young People Participating in the Company

3.1.1. Growth Rate of Young People Participating in the Company Currently, as Korea approaches the age of ultra-aging like its neighbor, Japan, the population of the elderly is increasing, and the proportion of the youth is decreasing. Nevertheless, as of 2018, the value of the real estate market is not falling, but is currently on the rise. As such, what is the biggest reason the land price is not falling when the fertility rate is decreasing and the economic situation is not as good as it was in the past? The value of the real estate market cannot depreciate because they are entering the real estate market due to the increase in the number of young adults owing to the baby boomers from the Currently, as Korea approaches the age of ultra-aging like its neighbor, Japan, the population of the elderly is increasing, and the proportion of the youth is decreasing. Nevertheless, as of 2018, the value of the real estate market is not falling, but is currently on the rise. As such, what is the biggest reason the land price is not falling when the fertility rate is decreasing and the economic situation is not as good as it was in the past? The value of the real estate market cannot depreciate because they are entering the real estate market due to the increase in the number of young adults owing to the baby boomers from the Currently, as Korea approaches the age of ultra-aging like its neighbor, Japan, the population of the elderly is increasing, and the proportion of the youth is decreasing. Nevertheless, as of 2018, the value of the real estate market is not falling, but is currently on the rise. As such, what is the biggest reason the land price is not falling when the fertility rate is decreasing and the economic situation is not as good as it was in the past? The value of the real estate market cannot depreciate because they are entering the real estate market due to the increase in the number of young adults owing to the baby boomers from the early 90s to the mid-90s. When the fertility rate reaches a number similar to the present by the 2030s beyond the 2020s, the analysis of statistical institutions confirms that house prices will change significantly from the present. As a result, from a macroscopic point of view, the future situation is not good. The following Figure 6 shows the participation rate of young adults in economic activities, where young people are between 15 and 39 years old.

old.

old.

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Meanwhile, the macroscopic and microscopic numerical data in Chapter 3 were created using data provided by public data portals, and data provided by public institutions Meanwhile, the macroscopic and microscopic numerical data in Section 3 were created using data provided by public data portals, and data provided by public institutions [34–37]. ated using data provided by public data portals, and data provided by public institutions [34–37].

early 90 s to the mid-90 s. When the fertility rate reaches a number similar to the present by the 2030s beyond the 2020s, the analysis of statistical institutions confirms that house prices will change significantly from the present. As a result, from a macroscopic point of view, the future situation is not good. The following Figure 6 shows the participation rate of young adults in economic activities, where young people are between 15 and 39 years

early 90 s to the mid-90 s. When the fertility rate reaches a number similar to the present by the 2030s beyond the 2020s, the analysis of statistical institutions confirms that house prices will change significantly from the present. As a result, from a macroscopic point of view, the future situation is not good. The following Figure 6 shows the participation rate of young adults in economic activities, where young people are between 15 and 39 years

#### [34–37]. 3.1.2. Economic Growth Rate/Unemplyoment Rate 3.1.2. Economic Growth Rate / Unemplyoment Rate

3.1.2. Economic Growth Rate / Unemplyoment Rate As the economy grows, the value of stocks, real estate, and existing goods rises as inflation progresses rapidly when people's income and corporate capital investment increase [38]. If the economic growth rate decreases compared to the present, the demand for and value of real estate and stocks will decrease. Moreover, as the income and corporate investment of the people decrease, the growth rate decreases as the number of sales providers increases. Figure 7, below, shows the figure of the economic growth rate, which means the rate of GDP (Gross Domestic Product) growth, and the unemployment rate for As the economy grows, the value of stocks, real estate, and existing goods rises as inflation progresses rapidly when people's income and corporate capital investment increase [38]. If the economic growth rate decreases compared to the present, the demand for and value of real estate and stocks will decrease. Moreover, as the income and corporate investment of the people decrease, the growth rate decreases as the number of sales providers increases. Figure 7, below, shows the figure of the economic growth rate, which means the rate of GDP (Gross Domestic Product) growth, and the unemployment rate for 15 to 39 year-olds. As the economy grows, the value of stocks, real estate, and existing goods rises as inflation progresses rapidly when people's income and corporate capital investment increase [38]. If the economic growth rate decreases compared to the present, the demand for and value of real estate and stocks will decrease. Moreover, as the income and corporate investment of the people decrease, the growth rate decreases as the number of sales providers increases. Figure 7, below, shows the figure of the economic growth rate, which means the rate of GDP (Gross Domestic Product) growth, and the unemployment rate for 15 to 39 year-olds.

**Figure 7.** Economic growth rate and unemployment rate. **Figure 7.** Economic growth rate and unemployment rate.

#### **Figure 7.** Economic growth rate and unemployment rate. 3.1.3. Interest Rate

The interest rate is a rate expressed as the interest rate per period applied to the principal. The interest rate wields various influences on our lives. If the interest rates rise, the method of depositing in the bank is appropriate, but buying a house by borrowing is burdensome. As a result, the real estate price falls. In this case, the method of depositing in the bank will lower the value; thus, it is effective to buy a house with a loan; of course, this will increase the value of real estate due to the high demand. When a crisis comes, like the current coronavirus situation, if the interest rate falls outside the normal range, the real estate market will overheat or cool down rapidly. Moreover, unlike foreign countries, there is a system called a *jeonse* system. Thus, if the interest rate goes down, the value of the charter decreases for the landholder, resulting in an increase in the value of the *jeonse*. To explain by example, the price of an apartment in Daechi-dong, Gangnam-gu, before the coronavirus incident occurred was 2.215 billion won. The coronavirus pandemic caused the demand for real estate to diminish as the interest rate fluctuated, with trading at 1950 million won. On the other side, the charter price has increased by 100 million won. Currently, apartment prices in Seoul have fallen by 0.02%, but charter prices have risen 0.03%. Figure 8 shows the interest rates from 15 to 18 years. tries, there is a system called a *jeonse* system. Thus, if the interest rate goes down, the value of the charter decreases for the landholder, resulting in an increase in the value of the *jeonse*. To explain by example, the price of an apartment in Daechi-dong, Gangnam-gu, before the coronavirus incident occurred was 2.215 billion won. The coronavirus pandemic caused the demand for real estate to diminish as the interest rate fluctuated, with trading at 1950 million won. On the other side, the charter price has increased by 100 million won. Currently, apartment prices in Seoul have fallen by 0.02%, but charter prices have risen 0.03%. Figure 8 shows the interest rates from 15 to 18 years.

The interest rate is a rate expressed as the interest rate per period applied to the principal. The interest rate wields various influences on our lives. If the interest rates rise, the method of depositing in the bank is appropriate, but buying a house by borrowing is burdensome. As a result, the real estate price falls. In this case, the method of depositing in the bank will lower the value; thus, it is effective to buy a house with a loan; of course, this will increase the value of real estate due to the high demand. When a crisis comes, like the current coronavirus situation, if the interest rate falls outside the normal range, the real estate market will overheat or cool down rapidly. Moreover, unlike foreign coun-

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3.1.3. Interest Rate

**Figure 8.** Standard interest rate status. **Figure 8.** Standard interest rate status.

## 3.1.4. Comprehensive Real Estate Tax Charge 3.1.4. Comprehensive Real Estate Tax Charge

Comprehensive real estate tax is the tax that is levied on the excess if the total amount of publicly-announced prices exceeds a certain standard amount by dividing the homes and lands of each country by type. The comprehensive real estate tax is imposed on highvalue real estate holders, which is based on equity in the tax burden of the people on real estate holdings, and it aims to stabilize real estate prices and contribute to the balanced development of local governments, and the economic development of the Republic of Korea. The base date for taxation is June 1. Figure 9 shows the history of change in the overall real estate tax. Comprehensive real estate tax is the tax that is levied on the excess if the total amount of publicly-announced prices exceeds a certain standard amount by dividing the homes and lands of each country by type. The comprehensive real estate tax is imposed on high-value real estate holders, which is based on equity in the tax burden of the people on real estate holdings, and it aims to stabilize real estate prices and contribute to the balanced development of local governments, and the economic development of the Republic of Korea. The base date for taxation is 1 June. Figure 9 shows the history of change in the overall real estate tax.
