• Journal of the Korean Regional Science Association
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• v.8 no.1
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• pp.31-50
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• 1992

The aim of this paper is to define major factors influencing land development of each of major uses (residential, commercial, industrial) in the process of rapid urban expansion. The main hypothesis of this study is that land use changing patterns are directed by supply side of land managed to public policies rather than demand side. The graphic analysis is applied to relationships between urban growth and land development process of each use and between land development project managed to public policies and land development process. Public and land development projects and zonning protection seem to be major roles of land supply and main determinants of urban spatial structure. Location factors for land development of each uses are selected in 23 variables. Factor analysis is applied to test correlation between variables in 1971 and 1981. Factor structure between two years is similar, but progressive processing of functional separation is derived such as intensive land use is grouped, different location between residential and industrial use is deep. Dependent variables are standardized to logarithm of land development of each use per unit vacant land in two periods, between 1971 and 1980 year and between 1981 year. Correlation analysis between 6 dependent variables and 23 location factors in each years are applied. Major factors of each use are selected in criteria such as high correlation with dependent variables, low correlation between independent variables and common application in two periods. As the result, major factors for residential land development are Land Readjustment Project (LRP), percent of total zoned area in residential zone, residential floor space density per available area, percent of total area in industrial use; for commercial development is distance to CBD, percent of total area in commercial use, residential floor space density per available area in each year, and volumn rate of industrial use; for industrial use is percent of total area of industrial use is percent of total area of industrial use, Industrial Estate Project (IES), LRP, and distance from CBD. Land development pattern of each use between two periods are slightly different. So 6 equation is derived from appling backward method of regession. Adjusted multiple R squares of all is more than 0.5 and those equation is statistically significant and valuable to assist urban land use forecasting.

• Journal of Korean Society of Rural Planning
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• v.14 no.3
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• pp.37-51
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• 2008

This study aims to build a model dealing with the location decision of new manufacturing firms and their land demand. The model is composed with 1) the binary logit model structure identifying a future probability of manufacturing firms to locate in a city and their land demand; and 2) the land use suitability of the land demand. The model was empirically tested in the case of Anseong City. We used establishment-level data for the manufacturing industry from the Report on Mining and Manufacturing Survey. 48 industry groups were scrutinized to find the location probability in the city and their land demand via logit model with the dependent variables: number of employment, land capital, building capital, total products, and value-added for a new industry since 2001. It is forecasted that the future land areas (to 2025) for the manufacturing industries in the city are $5.94km^2$ and additional land demand for clustering the existing industries scattered over the city is $2.lkm^2$. Five industrial complex locations were identified through the land use suitability analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.2D
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• pp.303-314
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• 2011

This paper proposes a differential pricing model for industrial land based on locational characteristics, using Support Vector Regression (SVR) as a land pricing methodology. The initial selling price of industrial land is set based on the total cost of site development that comprises the land acquisition cost and tax, land development expense, infrastructure installation cost, labor cost, migration expense, selling and administrative expense, capital cost, and so on. However, the current industrial land pricing method unreasonably applies the same price per square meter to all parcels within an industrial complex without considering differences in price depending on the location of each parcel. Therefore, this paper proposes an empirical land pricing model to solve this irrationality and verifies its validity and applicability.

• Journal of Korea Planning Association
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• v.54 no.7
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• pp.58-69
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• 2019

This study suggested the necessity of introducing the future-oriented new industrial complex as a way to enhance the competitiveness of the industrial complex in response to the industrial ecosystem change caused by the 4th industrial revolution. To evaluate the location suitability for the new industrial complex, location indices were developed in this study. The flexibility of location and connectivity to neighboring areas of the future-oriented new industrial complexes were the focused subjects of this study. In-depth expert consultation and Delphi survey were conducted to construct an index system and to measure the indices. Afterwards, the AHP analysis was conducted to elucidate the weighting by indicators. As a result, the indicators of industrial innovation environment were the most important in the major category. In addition, the convenience of workers, especially urban environment, was analyzed as an important factor for success of the future-oriented new industrial complex. The indicators which are closely related to the concept and purpose of the future-oriented new industrial complex turned out to have the higher weight compared to other indicators. From the point of view of the developers of the industrial complexes or tenant companies, the implications for deriving suitable locations for development of industrial complexes among urban under-utilized sites are suggested. Furthermore, It is expected that the government will be able to apply the development system to stimulate the development of these new industrial complexes and to prepare guidelines for selecting locations.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.214-223
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• 2022

The purpose of this study is to present a new industrial land demand prediction method that can consider external economic factors. The analysis model used ARIMA-X, which can consider exogenous variables. Exogenous variables are composed of macroeconomic variable, Business Survey Index, and Composite Economic Index variables to reflect the economic and industrial structure. And, among the exogenous variables, only variables that precede the supply of industrial land are used for prediction. Variables with precedence in the supply of industrial land were found to be import, private and government consumption expenditure, total capital formation, economic sentiment index, producer's shipment index, machinery for domestic demand and composite leading index. As a result of estimating the ARIMA-X model using these variables, the ARIMA-X(1,1,0) model including only the import was found to be statistically significant. The industrial land demand forecast predicted the industrial land from 2021 to 2030 by reflecting the scenario of change in import. As a result, the future demand for industrial land was predicted to increase by 1.91% annually to 1,030.79 km². As a result of comparing these results with the existing exponential smoothing method, the results of this study were found to be more suitable than the existing models. It is expected to b available as a new industrial land forecasting model.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.4
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• pp.522-535
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• 2017

It is necessary to develop a new location model to support the application of smart technology and confluence in the 4th industrial revolution era. In this study, we propose 'network-type industrial complex' as a method to link several industrial integrated spaces which are dispersed in an area. As a result of conducting a survey of companies in order to develop a new location model, about 89% of companies recognized the necessity of network-type industrial complex. As a condition for activation of the industrial complex, 'complementary function formation', and 'convenience of nodular transportation' were selected. It is expected that it will be possible to supply low-cost, high-efficiency industrial complexes through opening and linking with urban space and infrastructure sharing.

• Journal of Environmental Science International
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• v.30 no.2
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• pp.109-118
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• 2021

Due to changes such as those stemming from the onset of the fourth industrial revolution, it is expected that industrial complexes will transform from being spacious structures into smaller, integrated complexes. Green parks, which are also a type of infrastructure within industrial complexes, also require planned direction suited to the changing environment. The planned directions of green parks in new industrial complexes were examined and surveys were conducted on industrial complex workers. Preferred functional arrangement, importance, and satisfaction levels of green ratios, preference of compound facilities linked to parks, appropriate dimensional greening methods were all surveyed across 1,035 businesses. Results of the survey exhibited that there was high awareness on the importance of building green areas, but it was found that current greenery levels were insufficient. There was a high rate of responses indicated that dimensional greening is required in building-type industrial spaces, and preferences for rooftop greenery, stair-type greenery, and atrium greenery were also high. There were many opinions that it is necessary to integrate cultural facilities, exhibition and educational facilities, commercial facilities, parking lots in parks. Furthermore, it was found that it is necessary to provide pathways for bikes and pedestrians, rather than those for vehicles, and to connect them with the green parks. This study stopped short of exploring the directions for which green parks should aim in new industrial complexes with changes in the industrial environment. In the future, more concrete plans on green park planning techniques according to the spatial characteristics and structures of new industrial complexes will be necessary.

• Land and Housing Review
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• v.11 no.1
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• pp.11-19
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• 2020

This paper proposed an effect analysis method that meets the characteristics and purposes of the revitalization project for old industrial complexes, and quantified the economical effects about the project in Jeollabuk-do by case analysis. The problems on the existing effect analysis about revitalization project for old industrial complexes, estimated as transportation benefits on the main entrance roads plan and the increased rent benefits on the internal roads and other plans, were examined. In addition, the land use plan ratio on the old industrial complexes compared to the averages, and the surveys to the residential company were conducted. And this paper finally proposed an effect analysis methodology for the revitalization project for old Industrial Complexes in consideration of the increase in the operation rate and the added values through the conversion to high value-added industrial sectors. It was analyzed that new value added of KRW 743,278 million can be generated for next 30 years when the revitalization project for old Industrial Complexes in Jeollabuk-do is implemented.

• Advances in environmental research
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• v.3 no.4
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• pp.321-335
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• 2014

Eight trace metals, Cd, Co, Cr, Cu, Mn, Ni, Pb and Zn, were measured in the urban soil of Guwahati City, Assam, India from 31 sites representing five different types of land use, residential, commercial, industrial, public utilities, and roadside. Cd and Co occurred in very low concentrations (Cd << Co) in all types of land use without any significant variation from one type of land use to another. Ni concentrations were more than those of Co, and the concentrations depended on land use pattern. Average Cr and Cu concentrations were ${\geq}100mg/kg$, but Cr had a significantly higher presence in industrial land use. Pb concentrations showed similar trends. The two metals, Mn and Zn, were present in much larger amounts compared to the others with values ${\geq}300mg/kg$. Industrial and roadside soil contained much more Mn while commercial soil was enriched with Zn. Toxicity Characteristic Leaching Procedure (TCLP) was used for elucidating the mobility characteristics of the eight heavy metals. Mn suffered the highest leaching from commercial land (9.9 mg/kg on average) and also from other types of land. Co, Cu and Pb showed higher leachability from commercial soils but the leached concentrations were less than those of Mn. The two metals, Zn and Ni, were leached from residential land in considerable amounts. The TCLP showed Mn to be the most leachable metal and Cr the least.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1277-1283
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• 2006

The demand of urban land in the Capital Region will be increased by the national economic growth of Korea. However, the available land for residential, commercial, and industrial should be limited in Capital Region, and the system of land supply for the urban land doesn't work effectively in the Capital Region. This research aims to forecast land demand in Capital Region based on the analysis of number of residents as well as housing units, and to suggest desirable land supply directions based on the analysis of land supply regulations and controls. This research concludes that it is demanded $293km^2$ of residential site for the construction of 1.27 million housing units by the year of 2010, and the change of land use from agricultural to residential is very restricted so that it may not supply urban land flexibly and appropriately. Thus, it is necessary to improve not only the system of land use controls but also cooperation among public agencies for the rational operation of land supply system.