• The Korean Journal of Applied Statistics
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• v.24 no.3
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• pp.465-475
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• 2011

In this paper, we have considered the problems of the estimation of the gross areas of a factory site relating to the areas of industrial complex lands based on a statistical forecasting model and the results of a sampling survey. In respect to the data of a gross areas of a factory site, we have only the sizes from 1981-2003. In 2009, the Korea Industrial Complex Corp. conducted a sampling survey to estimate its bulk size, and investigate the demands of its sizes for the next five years. In this study, we have adopted the sampling survey results, and have created a statistical growth model for the gross areas of a factory site to improve the prediction for the areas of a factory site. The three-different parts of data: the results of areas of a factory site by Korea National Statistical Office, imputation results by the statistical forecasting model, and sampling survey results have used as the basis for analysis. The combination of the three-different parts of data has created a new forecasting value of the areas of a factory site through the spline smoothing method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1490-1499
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• 2015

The purpose of this study is to improve Biotope Area Ratio(BAR) systems used in the various fields. Recently, there has been increasing demand in urban agriculture as well as more residents cultivating farms on a small scale. However, there are few measures in terms of architecture and urban planning to respond to this trend. In this sense, this research is effective as it can respond to these demands by using BAR systems. Yet, the environmental indexes are not enough since BAR systems only take account of vegetation. Therefore, this study proposes an alternative way that includes the capacity factor of the plant growth by expanding the existing BAR systems. Thus, the study analyzes the complementary possibility of BAR systems, including elements of daylight, planting interval, area and soil depth with existing BAR elements.

• 농업기술회보
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• v.49 no.6
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• pp.34-34
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• 2012

녹비작물은 화학비료를 대 체하여 친환경 농산물 생산이 가능한 식물자원이다. 최근 친환경농산물에 대한 수요가 많아지면서 녹비작물의 재배면적 또한 증가하고 있다. 국립식량과학원에서는 녹비작물 헤어리베치의 재배면적을 확대하고자 다양한 파종방법을 개발하였다.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2002.11a
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• pp.86-128
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• 2002

1. 채소류 수출확대방안 가. 생산 및 수출동향 1). 생산동향 o 채소류 면적은 정체상태에 있으나 수출되는 시설채소 면적은 소비자의 고품질 채소수요 증가에 힘입어 재배면적이 매년 증가추세에 있음 - 시설채소 재배면적 : (90) 40 $\longrightarrow$ (00) 91천ha(128%↑) o 시설채소 생산량은 재배면적의 증가와 재배기술의 발전으로 생산량이 대폭 증가하였음 - 시설채소 생산량 : (90) 1,017 $\longrightarrow$ (00) 3,247천톤(219%↑) (중략)

• Management & Information Systems Review
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• v.36 no.3
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• pp.185-202
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• 2017

This study suggests the estimation of the demand for the exhibition center in Busan and to valid reasons for the establishment of the 2nd Convention Center in Busan. The validity for the estimated demand is acquired by examining the studies conducted by the Ministry of Commerce Industry and Energy. The qualitative data for the phased establishment of the area is suggested in accordance to the results of the demand estimation. From previous study(Oh, 2017), Kangseo-gu, Busan has been evaluated to be the final candidate for building a new convention center in the city of Busan. The potential synergy effects of on-going developmental projects in Kangseo region is one of the influential factors for the MICE professionals' opinion in the qualitative analysis. Moreover, the region has available land to hold the facility of more than 100,000 square meter to overcome the current drawback of BEXCO, insufficient space to hold large events. Lastly, the expansion of Gimhae International Airport would bring an increased international flights that would also lead to an increase in MICE industry for the region. The virtual effect of the more than one million $m^2$-sized oconvention center is examined via Huff Model and the results suggests a logical estimated data for further demand needed for the south east regions, not just within the city of Busan.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.44-53
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• 2023

Recently, serious parking problems are occurring due to the difficulty of securing sufficient parking space, and it may lead to other traffic or social problems. In order to solve the parking problem in areas and districts beyond a certain range, a study on-roads and off-street parking lots reflecting regional characteristics is necessary. Therefore, this study establishing a parking demand calculation model for use as a basic study in establishing on-road and off-road characteristics. In order to conduct the study, Dong-fu, Daegu Metropolitan City was divided into dongs, and parking facilities and parking demand were investigated. The survey time was divided into daytime and nighttime on weekdays, and the types of vehicles were divided into three types: passenger car, small trucks and buses, large trucks and buses. As explanatory variables for calculating parking demand, the total floor area of buildings for each of six purposes was used, including detached houses, apartment houses, neighborhood living facilities, cultural and assembly facilities, business facilities, and sales facilities. As a result of the correlation analysis, among the six explanatory variables, the total area of neighborhood living facilities showed a significant correlation with on- and off-street parking demand. A regression analysis model was constructed using the total area of neighborhood living facilities as an explanatory variable, and statistically significant results were obtained.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.4
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• pp.261-273
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• 2022

This study aims to predict the land use demand of Seongnam-city using system dynamics and to simulate the effect of changes in family structure and land use density adjustment policy on land use demand. This study attempted to construct causal loop diagrams and an analysis model. The changes in land use demand over time were predicted through simulation results. As a result of the analysis, as of 2035, an additional supply of 2.08 km² for residential land and 1.36 km² for commercial land is required. Additionally, the current supply area of industrial land can meet the demand. Three policy experiments were conducted by changing the variable values in the basic model. In the first policy experiment, it was found that when the number of household members decreased sharply compared to the basic model, up to 7.99 km² of additional residential land were required. In the second policy experiment, if the apartment floor area ratio was raised from 200% to 300%, it was possible to meet the demand for residential land with the current supply area of Seongnam-city. In the third policy experiment, it was found that even if the average number of floors in the commercial area was raised from four to five and the building-to-land ratio in the commercial area was raised from 80% to 85%, the demand for commercial land exceeded the supply area of the commercial area in Seongnam-city. This study is meaningful in that it proposes a new analytical model for land use demand prediction using system dynamics, and empirically analyzes the model by applying the actual urban planning status and statistics of Seongnam-city.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.07a
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• pp.102-107
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• 2002

최근 국민의 식생활이 향상되면서 신선채소류의 수요가 날로 증대되어 국내 부추의 재배 면적도 '92년 199㏊, '94년 729㏊ '99년 1,073㏊로 꾸준히 재배면적이 증가되고 있으며, 부추의 재배면적 확대와 집중출하 등으로 인한 가격의 등락이 심한 편이어서 부추생산의 안정적 기반을 위해서는 기계화를 통한 생산비 절감, 출하시기 및 출하량 조절을 통해 가격의 안정을 도모해야 한다. (중략)

• Environmental and Resource Economics Review
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• v.14 no.2
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• pp.475-491
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• 2005

This study reviews various problems associated with the method of estimating the demand for industrial water that was employed in the Water Vision 2020 and it suggests an alternative econometric method. Comparing with the data cited in the Report on Industrial Census, estimates obtained by employing the concept of demand function are more exact compared to those offered by the Water Vision 2020. The amount of industrial water in 1998 was estimated at 2.8 billion tons decreasing by 2003. By employing the concept of demand function, this study shows that the amount of industrial water was 2.1 billion tons in 2003 while according to the Water Vision 2020 it amounted to 3.3 billion tons in 2001. Thus, it appears that the amount of industrial water in the Water Vision 2020 has been overestimated. This study also shows that the industrial water demand can be controlled by means of certain pricing policies. Finally, we argue that the demand for industrial water should be estimated by taking account of economic variables such as water price and output.

• Agrochemical news magazine
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• v.24 no.8 s.191
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• pp.22-25
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• 2003