• Journal of the Korean Institute of Landscape Architecture International Edition
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• no.1
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• pp.192-201
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• 2001

Today, the availabity of usable pieces of land in urbanized areas is very limited. Specifically, it is very difficult to secure a piece of land to be used as a park for the public, mainly due to the high price of land in cities. However, the City of Seoul has carried out three action plans to secure land deemed for insufficient parks and to vitalize these small piece of land in downtown areas such as following: 1. Ssamzie-park(Korean version of a 'vest pocket park') Development Plan in 1990 through 1991. 2. Modernization Plan for Children's Parks since 1994. 3. Maeul-madang (Korean version of 'community garden')Development Plan since 1996. The purpose of this study was to present some design approaches for practical use of small urban spaces by articulating the concepts of Modernization Plan for Children's Park and Maeul-madang Development Plan of the winning entries and by describing how the concepts were actualized in reality.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.1
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• pp.13-22
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• 2014

Recently, many civil appeals have been occurred in land management work because of discord between cadastral records and actual land use pattern. it is important to select parcels for land alternation exactly using land information and to evaluate compensation cost according to scenarios for advancing this problem. This study operated GIS spatial overlay based on serial cadastral maps and actual-width of the road and analyzed the number and area of the parcels for land alternation by the land classification and ownership applying fuzzy membership function according to occupation ratio to road. Also compensation cost was calculated according to scenarios using individual public land price information of the parcels for land alternation and was arranged by district as Eup and Myeon according to land classification and ownership. This study can efficiently support the work of the parcels for land alternation complying with the financial condition of local government, by supplying compensation cost according to scenarios to the parcels of land alternation by district as Eup and Myeon.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.367-372
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• 2004

비교표준지를 이용하여 개별공시지가를 산정하는 우리나라 제도 하에서 가장 중요한 문제는 개별필지 주변의 표준지 중에서 어떤 표준지를 선택ㆍ이용하여 지가를 산정해야 하는가이다. 그러나 지침상에서는 비교표준지 선정시 중요 요인으로 작용하고 있는 유사가격권에 대하여 수치적인 기준이 아닌 모호한 개념상으로 규정하고 있어 비교표준지 선정에 있어 부정확성을 초래하고 있다. 따라서, 본 연구에서는 객관적인 기준과 수치적인 기준의 부재로 많은 문제점을 발생시키고 있는 유사가격권 설정의 문제를 해결하고자 K-평균 군집화 기법을 활용하여 가격권을 설정하고 이에 대한 타당성을 제시하고자 한다.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.238-244
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• 2022

Civil projects are associated with many uncertainties because they involve a long duration, many resources, a large area, and many supply chains. Therefore, the price of a civil project is not simply proportional to the quantity and unit price of the item but has a variable value, including uncertainty risk. This study investigates the influence of the uncertainty factors in the pre-bid clarification document on bid price formation during the project bidding phase. To this end, civil projects from the California Department of Transportation (Caltrans) were used as research data. This study randomly selected fifty sample data from each of twelve counties from 2008-to 2020: six hundred. The authors observed that each project sample had 0 to n query cases due to uncertainty. Then, this study examined the project uncertainty cases and categorized them into the following four uncertainty factors: 'conflict' (UF1), 'impossibility' (UF2), 'lack' (UF3), and 'missing' (UF4). Under the extracting process, the cases are classified into four uncertainty factors. With the project not containing any uncertainty factors as a control group, the project containing these uncertainty factors was designated as an experimental group. After comparing the bidder's price, the experimental group's bid price was higher than the control group's. This result suggests that uncertainty factors in bid documents induce bidders to set a high bid price as a defense against uncertainty.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• Journal of Korean Society of Rural Planning
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• v.30 no.2
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• pp.1-11
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• 2024

Farmland transaction prices are affected by various factors such as politics, society, and the economy. The purpose of this study is to identify multiple factors that affect the farmland transaction price due to changes in the actual transaction price of farmland by farmland unit from 2016 to 2020. There are several previous studies analyzed the determinants of farmland transaction prices by considering spatial dependency. However, in the case of land transactions where the time and space of the transaction affect simultaneously, if only spatial dependence is considered, there is a limitation in that it cannot reflect spatial dependence that occurs over time. In order to solve these limitations, To address these limitations, this study builds a spatio-temporal autoregressive model that simultaneously considers spatial and temporal dependencies using farmland transactions in Jinju City as an example. As a result of the analysis, it was confirmed that there was significant spatio-temporal dependence in farmland transactions within the previous 30 days. This means that if the previous farmland transaction was carried out at a high price, it has a spatio-temporal spillover effect that indirectly affects the increase in the price of other nearby farmland transactions. The study also found that various location attributes and socioeconomic attributes have a significant impact on farmland transaction prices. The spatio-temporal autoregressive model of farmland prices constructed in this study can be used to improve the prediction accuracy of farmland prices in the farmland transaction market in the future, and it is expected to be useful in drawing policy implications for stabilizing farmland prices

• Journal of Korean Society of Transportation
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• v.14 no.1
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• pp.7-27
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• 1996

It is very costly to construct transportation facilities such as roads, bridges, tunnels, and public parking lots mainly because land price is very high in metropolis like Seoul. Private car oweners use these facilities more extensively than public transportation users. However, the government does not impose proper charges for using these facilities. Such improper charge causes traffic congestion and then decreases social welfare in efficiency and equity. To solve problem, many traffic demand management policies are used. Traffic management policies which are currently used or under consideration by the City Government of Seoul include the imposition of road tolls, increase of parking fees in public parking lots, increase of gasoline taxes, expanded implementation of bus only lanes, and shippujae, which requires one(1) non-driving day for 10 calendar days. This study examined the impacts of such policies on the different income classes using simulation analysis. We found that the impacts of market-oriented policies such as the imposition of road tolls and the increase of gasoline taxes is regressive. Also, we found that while the low and middle income private car users have incentive have incentive for public transportation use, the high income private car users have no incentive for public transportation use in many cases.

• Journal of Navigation and Port Research
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• v.27 no.3
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• pp.345-349
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• 2003

A theme park is a tourism destination attracting a lot of tourists. Many local authorities establish theme parks within their own territory. Busan Metropolitan City tries to host an attractive theme park, and to make the city known as the tourism destination for 21st century. The purpose of this paper is to suggest a policy and management strategy of theme park based on questionnaire analysis for international tourists visiting Busan. First, it is needed to supply low land price to reduce construction cost and to attract investors from the public and private sectors. Second, the theme park has to have attractive themes and new events for repeaters. Third, infra structures related to the theme parks should be provided for the easy accessibility. Finally more emphasis should be placed on public relation and service education for employees.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.3
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• pp.92-106
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• 2017

This paper examines the validity of issuing municipal bonds for land compensation of long-term unexecuted urban parks and greenbelts. Then it suggests that municipal bonds should be issued for compensation priority areas with high rising prices. By conducting correlation analysis and PLS(Partial Least Squares) regression for 32 long-term unexecuted urban parks and greenbelts, the factors were identified that affected 'rising prices of IAPLP(Individually Announced Public Land Price) after seven years'. According to the analysis results, Variable Importance in the Projection in PLS regression was higher in 'IAPLP of base year(1.919)' and 'Accumulated rising Rates of average IAPLP in the borough(1.176).' The implications of this study are as follows. In Seoul, the accumulated rising rates of average IAPLP over the past 12 years is higher than the accumulated interest rates for seven years of urban planning facility bonds, which means that IAPLP have risen more than the interest payments due to the issuance of municipal bonds. In addition, since the actual compensation is three times that of IAPLP, it is judged that the land price is actually much higher than the interest payments. This shows that issuing municipal bonds and preferentially compensating for areas like high rising land prices can increase the economic efficiency of the budget execution. Also, for economic efficiency of budget execution, it is necessary to propose an 'area with high IAPLP' or 'a part in the borough with high rising rate of average IAPLP,' which is expected to have a high rising land price as criteria for compensation priority areas. In the future, when issuing municipal bonds to compensate long-term unexecuted urban parks and greenbelts, variousresearch on financing for municipal bonds repayment should be conducted.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.6
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• pp.507-516
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• 2019

The investigation of land characteristics is an important task for the calculation of officially land prices and standard comparison table of land price. Therefore, it should be done objectively and consistently. However, the current investigation system is mainly done by researcher's subjective judgment. Therefore, the objectivity and consistency of this investigation is not guaranteed and questionable. In this study, we first defined the problem by analyzing the current land topography investigation method. In addition, in order to investigate the land topography, the geometry of the parcel is quantified by spatial information and applied to the decision tree based method(C4.5) to produce the final result. This study intended to extract the parcel characteristics data of the topographic by the use of spatial information and to apply the information to the C4.5, there by suggesting a method for addressing the problems. The findings showed approximately 93.5% between the results of topography classification estimated with rules learned by C4.5.