• Journal of Korean Society of Forest Science
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• v.101 no.1
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• pp.46-52
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• 2012

The purpose of this study is to give ROI informations about management status and investment returns to someone who will newly cultivate lycium chinese miller or expand area of its cultivation. In this study, IRR, B/C Ratio and NPV is used for ROI analysis. We basically surveyed fifty two among Lycium Chinese Miller cultivation farmhouses in chief producing districts Chungnam Chungyang, Jeonnam Jindo in Korea from May until September in 2009. Hence, this study surveyed these farmers about production cost, management cost, input labors and materials, land price and etc. by working process to calculate production and operation cost. As the result of farm survey, average selling price of Lycium Chinese Miller is 15,000 won per kg at locals for five years. However, when 3% discount rate is applied, the result of the analysis is B/C Ratios 0.89, which shows unprofitable. Therefore, it is a possible baseline that price of Lycium Chinese Miller is at least 16,800 won per kg with 3.00% IRR and B/C Ratio is 1.00. It could be profitable with about 21.75% income ratio when price of Lycium Chinese Miller is 16,800 won per kg.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.15-20
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• 2020

Recently, the real estate is of high interest. This is because real estate, which was considered only a residential environment in the past, is recognized as a stable investment target due to the ever-growing demand on it. In particular, in the case of the domestic market, despite the decrease in the number of people, the number of single-person households and the influx of people to large cities are accelerating, and real estate prices are rising sharply around the metropolitan area. Therefore, accurately predicting the prospects of the future real estate market becomes a very important issue not only for individual asset management but also for government policy establishment. In this paper, we developed a program to predict future real estate market prices by learning past real estate sales data using machine learning techniques. The data on the market price of real estate provided by the Korea Appraisal Board and the Ministry of Land, Infrastructure and Transport were used, and the average sales price forecast for 2022 by region is presented. The developed program is publicly available so that it could be used in various forms.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.3
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• pp.229-235
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• 2011

Traffic noise pollution is a growing problem that highly affects the health of people in urban areas. In order to implement effective measures against traffic noise the noise mapping about its distribution is imperative. Urban traffic noise maps will help to establish the existing baseline so that we will be able to look for the effective way to control the noise. They will also let us see in an understandable and visual way how noise spreads from roads into residential areas. In this paper we considered three development types between roads and residential areas, and applied the interpolation of ArcGIS for noise attenuation with distance from the roads to find the noise level at the parcels positions in residential areas, and then generated the noise map using the interpolated results. Therefore we present results that the traffic noise level within residential areas exceed the national noise standard and also can estimate the noise level of individual parcels. These results can be used for traffic noise control planning or assessment of officially assessed land price in near future.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.147-153
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• 2017

The mortality rate in industrial accidents in South Korea was 11 per 100,000 workers in 2015. It's five times higher than the OECD average. Economic losses due to industrial accidents continue to grow, reaching 19 trillion won much more than natural disaster losses equivalent to 1.1 trillion won. It requires fundamental changes according to industrial safety management. In this study, We classified the risk of accidents in industrial complex of Ulju-gun using spatial analytics and data mining. We collected 119 data on accident data, factory characteristics data, company information such as sales amount, capital stock, building information, weather information, official land price, etc. Through the pre-processing and data convergence process, the analysis dataset was constructed. Then we conducted geographically weighted regression with spatial factors affecting fire incidents and calculated the risk of fire accidents with analytical model for combining Boosting and CART (Classification and Regression Tree). We drew the main factors that affect the fire accident. The drawn main factors are deterioration of buildings, capital stock, employee number, officially assessed land price and height of building. Finally the predicted accident rates were divided into four class (risk category-alert, hazard, caution, and attention) with Jenks Natural Breaks Classification. It is divided by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the other groups. As the analysis results were also visualized on maps, the danger zone can be intuitively checked. It is judged to be available in different policy decisions for different types, such as those used by different types of risk ratings.

• Land and Housing Review
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• v.14 no.4
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• pp.39-46
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• 2023

This study explores the interrelationship between 'KRX Construction' and 'Business Survey Index'. KRX Construction is a leading economic indicator of construction industry, implying the potential interdependence with BSI Construction. Previous papers have investigated the relationship between the released stock price index and BSI. Using Granger causality tests, this study investigates how the BSI Construction is associated with the trend and noise-trading components of KRX Construction, respectively. The decomposition of KRX Construction of trend and noise-trading is based on the state-space model. The results document unilateral Granger causalities from released KRX Construction, trend component, noise-trading component to BSI Construction. In sum, this study demonstrates that construction company CEOs view stock price index as a leading economic indicator.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.16-27
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• 2015

The parcels of land alteration by existing manual work was very inefficient in terms of time and costs. Especially it caused many difficulty in estimating compensation since the work didn't take into account the range of adjoining zone to road. This study selected Gimje City of Jeollabuk-Do as a study site and could analyze the numbers and areas of parcels of land alteration considering the range of adjoining zone to road based on cadastral maps and wide road layers from new address system. Also this study applied a fuzzy membership function according to occupation ratio to road, and analyzed compensation by the range of adjoining zone to road using individual public land price information of the parcels for land alternation. Especially, the change aspect of public and private parcels could be investigated by the range of adjoining zone to road according to the fuzzy membership function. And this study could provide very efficient data in determining the priority of the parcels for land alternation through calculating compensation of the parcels for land alternation by Eup Myeong Dong according to the range of adjoining zone to road.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5207-5215
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• 2010

Selecting proper location for complex facility with special purpose need comprehensive consideration on the condition and surrounding environment. Especially, in case of living space for human, lighting, ventilation, efficiency in land use, etc. are important elements. Diverse 3D analysis through 3D topography modeling and virtual simulation is necessary for this. Now, it can be processed with relatively inexpensive cost since high resolution satellite image essential in topography modeling is provided with domestic technology through Arirang No. 2 satellite (KOMPSAT2). In this study, several candidate sites is selected for complex planning with special purpose and analysis on proper location was performed using the 3D topography modeling and land information. For this, land analysis, land price calculation, slope analysis and aspect analysis have been carried out. As a result of arranging the evaluation index for each candidate site and attempting the quantitative evaluation, proper location could be selected efficiently and reasonably.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 1997.11a
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• pp.145-159
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• 1997

Cheju Island is the most attractive resort area in Korea for its exotic landscape, natural beauty, and traditional culture which is quite different from that of the mainland. Until now, most of the recreational facilities and accomodations have been constructed along the coastal areas. Recently, mid-mountain area has been under very heavy development pressure because it is suitable for new sites for tourism facilities and the land price in the coastal area is very high. The mid-mountain area is the land located 200-600m above the sea level. It is a major source of water supply for the island and has exotic scenic beauty, which cannot be found in mainland but it is the area very vulnerable to water pollution Therefore, it is very important to manage this area based on the concept of environmentally sound and sustainable development in order to meet ever increasing demand for the land development The purposes of this project are: 1) to establish Geographic Information System for the whole island, 2)to formulate environmentally sound landuse plat However, There has been accuracy of the original map, defining criteria of analysis, updating of the data were identified for future tasks to be studied.

• The Journal of the Korea Contents Association
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• v.11 no.2
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• pp.457-465
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• 2011

This research, which was started with a need for constant monitoring to find out urban societies and spacial effects by urban railway after the opening, was intended to empirically explore urban and social changes by the opening of Daejeon City metro line 1st which would greatly affect the spacial structure of the city. For this goal, we expected the effect of urban subway on the city with academic consideration and precedent study. Monitoring results of the subway station areas of Daejeon City metro line 1st showed the opening of urban railway had an influence on the flow of urban plan and urban space structure through population, land use, total-developing areas, and land price change. In other words, as urban railway opens the number of population and population activities centered on the subway station areas, and these movements led to the expansion of the commercial areas. Finally, they caused the average land prices to rise. Likewise, urban monitering is significantly useful comprehending the generally time-periodic changes of cities and even conceiving the present cities.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.436-440
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• 2008

Complete consideration on condition and surrounding environment shall be performed to select proper location for complex planning or establishment of facility with special purpose. Especially, in case of living space for human, lighting, ventilation, efficiency in land use, etc. are important elements. Diverse 3D analysis through 3D topography modeling and virtual simulation is necessary for this. Now, it can be processed with relatively inexpensive cost since high resolution satellite image essential in topography modeling is provided with domestic technology through Arirang No. 2 satellite (KOMPSAT2). In this study, several candidate sites is selected for complex planning with special purpose and analysis on proper location was performed using the 3D topography modeling and land information. For this, land analysis, land price calculation, slope analysis and aspect analysis have been carried out. As a result of arranging the evaluation index for each candidate site and attempting the quantitative evaluation, proper location could be selected efficiently and reasonably.