• Journal of the Economic Geographical Society of Korea
• /
• v.17 no.3
• /
• pp.482-501
• /
• 2014

Most textbooks of urban geography explain that land value drops down with distance from the Peak Land Value Intersection of urban center. However, There is little rigorous empirical work supporting this belief. Using the publicly notified individual land price data of 2013, this paper examines the structure of land value in urban center with a focus on spatial distribution of land value by land use. As an analytic result, the structure of land price varies between land uses, significantly being different from the classical model of land value in urban space. In residential lands and mixed-use lands for residence and commerce, land price gradient as a function of distance from PLVI is positive and a crater phenomenon even is identified in spatial distribution of land value. The classical model coincides only with land for commerce and office. Nonetheless, predict of land uses by land value function fairly corresponds to Alonso's model.

• Land and Housing Review
• /
• v.2 no.4
• /
• pp.479-489
• /
• 2011

This study aims to suggest the method to enhance the value of public construction project during contract review process considering budget reduction for project profit and public interest enhancement simultaneously. The main results of this study are as follows: (1) Current method are considered to be improved from the point that cost reduction through current method could influence performance of the object of contract without conforming to user requirements or facilities' function. (2) In order to supplement current process, the method to evaluate the variation of performance and value was established based on facility type, participants on each phase, and their requirement. (3) Case study was conducted to verify suggested method, and showed the successful application in enhancing the value of construction projects on public sector.

• Land and Housing Review
• /
• v.2 no.4
• /
• pp.491-501
• /
• 2011

This study estimated economic value and benefits of Yongsan National Park, which will be constructed by financial investment of the government and objectively estimated the real value of it by understanding the value of the park from a user's view of the park. For this, the value of Yongsan National Park is divided into using value such as carbon reduction and the function of relieving urban heat island as an environmental material and non-using value based on willingness to pay of the public according to the construction of the park. As a result of the analysis, it was found out that the using value of Yongsan National Park would reach 130 million won up to maximum level of 450 million won per year, and the non-using value was analyzed to be worthy of 2,344 won per capita every month. Besides, economic ripple effect that can be expected in the process of the park construction project was analyzed to be a national policy that creates effect on production inducement of 2.6 trillion won and value added of 809.6 billion won and new jobs for 25,620 persons. Considering the value of Yongsan National Park and the effect of the project based on the result of this study, it was found that it could sufficiently secure the validity of implementing the project compared to the financial investment by the government. Therefore, it must be emphasized that diffusion strategy is necessary for national understanding and for a nation to make it understood its appropriateness widely in respect to the construction of Yongsan National Park for the successful construction of Yongsan National Park and to raise its using value in the future.

• 한국공간정보시스템학회:학술대회논문집
• /
• 2000.06a
• /
• pp.93-105
• /
• 2000

GIS is a powerful toolbox in managing spatial data associated with attribute data. However GIS is short of spatial analysis function and graphic user interface(GUI) function in dealing with dynamic planning problems. Decision Support Systems(DSS) make up for the shortage of GIS by providing GUI function, modeling function and database function. Spatial Decision Support Systems(SDSS), a new kind of DSS, incorporate display function, basic spatial analysis function and manipulation function of spatial data and attribute data of GIS and GUI function, modeling function and database function of DSS in dealing with spatial planning problems. Planning Support Systems(PSS) add more advanced spatial analysis function and intertemporal function to the functions of SDSS. This study focuses on the modeling of a PSS for capacity expansion of water-distribution network depending upon land use planning by using GIS, value engineering(VE) and life cycle costing(LCC). The PSS shows a guideline about the investment of water-distribution networks related to urban growth management through generating certain numbers of dynamic alternatives to supply the amount of water caused by land use planning.

• Journal of Digital Contents Society
• /
• v.4 no.2
• /
• pp.147-155
• /
• 2003

The problem of the objective adequacy on land estimation has been seriously discussed with the Issue of paradigm conversion on land policy as the economy situation has been worse enough to be confused due to the sale price which could not be predicted in Korea. Especially as the data of the government land value is not recognized as the official one, the separate alternation has been adopted to calculate the value of land compensation or development allotment. Rather it has raised a question in argument that the system of the declared value does not accomplish its basic function properly on the contrary of the original purpose to unify the computation of the government land value. To reconsider the adequacy of government land value, the most crucial factor is to select the items of land estimation reasonably. In addition, it is urgently required to develop the system of digital contents to provide the data of land evaluation which most of people could trust, who are facing of the flood of information through internet.

• Journal of Korean Society of Rural Planning
• /
• v.20 no.4
• /
• pp.13-24
• /
• 2014

The pond wetlands in agricultural landscape are important natural resources that carry out the function of bio-diversity conservation. However, recently, those have been gradually embedded as their utility value were disappeared. And, the assessment methods used for pond wetlands are insufficient. Therefore, this study was conducted to examine the conservation value of pond wetlands by using the modified RAM, and present the improvement of assesment methods. The study sites, a total of 32 pond of 4 types by land use, were selected on the basis of Ramsar Convention. Through the analysis of precedent studies, the weighted 8 functions were adjusted. According to the assessment results, pond wetlands made the largest contribution to Fishery and Herpetile Habitat function. In addition, it also made large contribution to Floral Diversity, Wildlife Habitat, and Water Quality Protection function. On the other hand, it made a small contribution to Aesthetics and Recreation, Runoff Attenuation, Shoreline /Stream Bank Protection, and Flood/Storm Water Storage function due to the characteristics of small-scale pond wetlands. In the assessment of 8 functions, house type showed the worst assessment result, and mountain type showed the best assessment result. It is thought that those are due to land use type in terms of vicinity. 10 items among 52 of the modified RAM showed the same assessment results in all land use types. Accordingly, it is required to be deleted and modified the assessment method. On the other hand, it is required to add age, interference, and water use to the assessment method. It is thought that these results can be utilized for the development and modification of assessment methods focused on pond wetlands in rural area.

• Journal of Korean Society on Water Environment
• /
• v.27 no.1
• /
• pp.9-18
• /
• 2011

In this study the optimal volume for non-point source control retention is estimated considering spatio-temporal variation of land surface. The 3-parameter mixed exponential probability density function is used to represent the statistical properties of rainfall events, and NRCS-CN method is applied as rainfall-runoff transformation. The catchment drainage area is divided into individual $30m{\times}30m$ cells, and runoff curve number is estimated at each cell. Using the derived probability density function theory, the stormwater probability density function at each cell is derived from the rainfall probability density function and NRCS-CN rainfall-runoff transformation. Considering the antecedent soil moisture condition at each cell and the spatial variation of CN value at the whole catchment drainage area, the ensemble stormwater capture curve is established to estimate the optimal volume for an non-point source control retention. The comparison between spatio-temporally varied land surface and constant land surface is presented as a case study for a urban drainage area.

• Korean Journal of Remote Sensing
• /
• v.28 no.3
• /
• pp.287-296
• /
• 2012

Although low spatial resolution satellite images like MODIS and GOCI can be important to observe land surface, it is often difficult to visually interpret the imagery because of the low contrast by prevailing cloud covers. We proposed a simple and adaptive stretching algorithm to enhance image contrast over land areas in cloudy images. The proposed method is basically a linear algorithm that stretches only non-cloud pixels. The adaptive linear stretch method uses two values: the low limit (L) from image statistics and upper limit (U) from low boundary value of cloud pixels. The cloud pixel value was automatically determined by pre-developed empirical function for each spectral band. We used MODIS and GOCI images having various types of cloud distributions and coverage. The adaptive contrast stretching method was evaluated by both visual interpretation and statistical distribution of displayed brightness values.

• Korean Journal of Agricultural Science
• /
• v.24 no.1
• /
• pp.63-74
• /
• 1997

This study is aimed at identifying the value of marginal products(VMP) of agricultural labor, capital and land. The resources are the major portion of input costs of agricultural projects. To appraise economic feasibility of agricultural projects, the real value of the resources would be estimated by VMP of the inputs rather than by distorted actual market prices such as rural wages, rent and interest. To convert the market wage rate into shadow wage rate, covertion factor of 0.90 would be appicable based on the study results. To evaluate the right of way and compensation, VMP of land is recommendable to apply in land pricing rather than actural land rent prevailing in rural area which has been underrated on account of labor shortage and difficulty of farming. Discount rate as a opportunity cost of capital should be applied 7-8% considering the VMP of capital and interest rate of foreign loan from IBRD and ADB. For the successful appraisal of the agricultural projects, the recommendation of this study would be applied in the future.

• Economic Analysis
• /
• v.27 no.2
• /
• pp.71-123
• /
• 2021

In this study, we present a methodology and model to estimate land prices and the value of land assets in North Korea in the absence of any data about land characteristics from North Korean authorities. Using this framework, we experimentally make market price-based estimates for land assets across the entire urban area of North Korea. First, we estimate the determinants of land prices in South Korea using data on market prices of land from the late 1970s, when it was estimated that the income level gap between South Korea and North Korea wasn't relatively large, and from the early 1980s, when urbanization levels in both of them were similar. Second, we calculate land prices and their relative ratios for each city and urban area in North Korea around 2015 by substituting proxy variables of determinants of land prices derived through a geographic information analysis of North Korea into the function of land prices that we have already estimated. Finally, we estimate the value of land assets in urban areas across North Korea by combining the ratio of housing transaction prices surveyed in several cities in North Korea with the relative prices estimated in this research. As a result, land prices in urban areas in North Korea, looking at the relative ratio of price by city, are estimated to be the highest, at 100.00, in Tongdaewon district of Pyongyang, and to be the lowest, at 1.70, in Phungso county, Ryanggang Province. Meanwhile, the value of land assets in urbanized areas was estimated at $21.6 billion in 2015, which was 1.2 to 1.3 times the GDP of North Korea that year. This ratio is similar to South Korea's in the 1978-1980 period, when the South Korean economy grew at an average rate of 6%. Considering North Korea's growth rate of about 1% in the 2013-2014 period, its ratio of land assets to GDP appears very high.