• Title/Summary/Keyword: Industrial Estate Area

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A Comparative Study on Aging Characteristics in Metropolitan Area New Towns of Korea and Japan Specifically on Bundang and Tama New Town (한일 수도권 교외 신도시 고령화 특성 비교 연구 - 분당신도시와 다마뉴타운을 중심으로)

  • Kim, Seong-Hee;Kim, Joong-Eun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.6
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    • pp.710-719
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    • 2017
  • This study conducted a survey on the time serial change in the aging ratio and population structure in new towns and their housing complex of Korea and Japan, and revealed the differences in the factors that affect the aging ratio in new towns of Korea and Japan through a comparison of the housing provision of housing complex with a high aging ratio. Rapid aging is underway around the housing complexes that were developed in the beginning of Tama new town in Japan. Agingtends to increase in proportion to the opening time of the housing complex. Rental housing residents of early migration households showed rapid aging because they had generation separation early due to narrow housing. On the other hand, Bundang new town maintains a lower aging ratio and speed than Seoul and Seoul metropolitan area due to the constant influx of student population. On the other hand, aging is more likely to increase in large houses due to the depression of the real estate market.

Spatial Division of Labor in Korea and The Characteristics of Kumi Local Labor Market (공문적 분업과 지방 노동시장의 특성에 관한 연구 -구미공업단지 섬유.전기전자산업을 중심으로-)

  • 박원석
    • Journal of the Korean Regional Science Association
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    • v.6 no.1
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    • pp.11-38
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    • 1990
  • The purpose of this thesis is, first to present the spatial division of labor in Korea and its mechanism, and second, to elucidate the organic integral relation between local labor market and local community by studing the mechanism that the spatial division of labor is projected into the individual lacal labor marker, and reproduction of labor force process in this local labor market. According to this purpose, the theoretical frame of this analysis is done, the positive analysis is made and Kumi is choosed as its analysis case area. The main data is from 'Survey Report on Manufacturing Idustry Wage Conditions' published by Minimum Wage Council, Ministry of Labour and from the questionnaires and interview on textile industry and electric electronics industry firms in Kumi Export Industrial Estate. The following are the results of this study. 1. The mechanism of spatial division of labor in Korea, seen through the employment structure index, is accelerating the regional discrimination by fixing the regional hierarchisation between Seoul (or Seoul Metropolitan Area as expanded Seoul) and other areas. But it is also developing highly the regional employment structure at the level of technical division of labor, since the spatial division of labor in Korea is leaded by large firms and influenced by the policy for regional development. 2. Local labor market is formed in Kumi area and its delimitation is Kumi city. The employment structure of Kumi local labor market is occupying lower hierarchy division at management hierachical level and occupying upper hierarchy division at the level of technical division of labor, and brand plants of large firs are determinating and dominating this emplogment structure. These bdranch plants of large firs are forming more favorable and stabel labor marker than locally controlled ploants in Kumi local labor market. But the reproduction of labor force process in Kumi local labor market is not fully carried out and leaked into central city, therefore Kumi is now becoming an unstable local community, suffering from large movement of population. This is because Kumi local labor market is found not for itself, but by the state policy and externally controlled plants of large firms, and therefore no potentiality to control and to absorb the exterior influences is built in Kumi local labor market. 3. The case firms A, B have spatial division of labor between decision-making function and production function, and between upper management hierachical labor force and lower management hierachical labor force in internal labor market.

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Effect of Air Pollution on the Primary Production of Pinus thunbergii Forest (대기오염(大氣汚染)이 곰솔림(林)의 물질생산(物質生産)에 미치는 영향(影響))

  • Kim, Tae Wook;Lee, Kyong Jae;Park, In Hyeop
    • Journal of Korean Society of Forest Science
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    • v.71 no.1
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    • pp.33-39
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    • 1985
  • This study was performed to investigate the damage to the primary production of Pinus thunbergii forest from air pollution around the Yeochon Industrial Estate. The data were observed at 6 sites in the vicinity of the above area. The vitality of pine trees and the accumulation of the soluable sulfur and the fluorine were analyzed. Their value was generally increased near the source of air pollutants. The biomass density and annual net production were $1.01kg/m^3$, 5.90 t/ha/yr in the stand 4 respectively and $0.66kg/m^3$, 0.32t/hr/hr in the stand 3 respectively. The net assimilation rate was 0.4 - 1.6 kg/kg/yr and the efficiency of leaf to produce stem was 0.3 - 1.3 kg/kg/yr. The annual growth percentage of volume was 16.0% at the slightly damaged area and 4.0% at the severly damaged area. The maximum mean annual increment per tree was $0.0040m^3$ and $0.0008m^3$ in same order.

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The Influence of the Influential Factors on the Invigoration of the Traditional Market Places in Seoul through Urban Regeneration upon the Awareness on Invigoration: the Mediating Effect of Expectation (도시재생을 통한 서울지역 전통시장 활성화 영향 요인이 활성화 인식에 미치는 영향: 기대감의 매개효과)

  • CHOI, Jae-Hyun;LEE, Myeong-Hun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.4
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    • pp.248-258
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    • 2020
  • In this study, an empirical analysis was performed with regards to traditional markets in Seoul, South Korea to find which physical maintenance elements, such as facility improvement for successful urban restoration, have greater effects on the expectation and activation awareness of successful urban restoration. This study targeted traditional markets located at the center of Seoul, which are visited by many domestic and international tourists as well as general consumers and are revitalizing the downtown area. A survey was conducted to collect a total of 515 completed questionnaires. Data analysis was performed using SPSS 23.0 and AMOS 22.0. The results of the analyses in this study indicate relevant urban invigoration factors (psychological, physical, diversity, functional, and stability factors), and it was observed that the expectation of urban regeneration was under the direct influence of the invigoration factors. Such a finding is meaningful in that it suggests a set of criteria to evaluate the concept of traditional markets in a comprehensive manner for successful urban regeneration while highlighting relevant invigoration factors for traditional marketplaces for the purpose of urban regeneration.

An Analysis of Index for Gentrification occurred in Urban Regeneration Projects (도시재생사업에서 젠트리피케이션 발생 요인 분석)

  • Lee, Jeong-Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.187-194
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    • 2019
  • The purpose of this study was to review the Gentrification and Development Index in terms of domestic and foreign gentrification. Based on the important indicators of the Gentrification index through previous research, the four evaluation areas were divided into structure and subject, production and consumption, supply and demand, and capital and culture. Looking at the importance of each area, the production and consumption aspects were highest as the important index of the occurrence of gentrification, followed in order by the supply and demand, the structure and subject, and the capital and culture order. From the detailed factors, the report revealed the changes in sales to structure and subject matter, increases in franchises to production and consumption, rises in rent to supply and demand, and transient population to capital and culture to be important items. In addition, an analysis of the gentrification occurrence indicators in urban regeneration project areas revealed high weight in terms of production and consumption, supply, and demand, including the increased franchises, one-person start-ups, higher rents and higher real estate values. In other words, the occurrence of gentrification in urban regeneration areas produces the largest portion of the increases in franchises and rent. Therefore, step-by-step measures are needed through monitoring.

Suggestion of Urban Regeneration Type Recommendation System Based on Local Characteristics Using Text Mining (텍스트 마이닝을 활용한 지역 특성 기반 도시재생 유형 추천 시스템 제안)

  • Kim, Ikjun;Lee, Junho;Kim, Hyomin;Kang, Juyoung
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.149-169
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    • 2020
  • "The Urban Renewal New Deal project", one of the government's major national projects, is about developing underdeveloped areas by investing 50 trillion won in 100 locations on the first year and 500 over the next four years. This project is drawing keen attention from the media and local governments. However, the project model which fails to reflect the original characteristics of the area as it divides project area into five categories: "Our Neighborhood Restoration, Housing Maintenance Support Type, General Neighborhood Type, Central Urban Type, and Economic Base Type," According to keywords for successful urban regeneration in Korea, "resident participation," "regional specialization," "ministerial cooperation" and "public-private cooperation", when local governments propose urban regeneration projects to the government, they can see that it is most important to accurately understand the characteristics of the city and push ahead with the projects in a way that suits the characteristics of the city with the help of local residents and private companies. In addition, considering the gentrification problem, which is one of the side effects of urban regeneration projects, it is important to select and implement urban regeneration types suitable for the characteristics of the area. In order to supplement the limitations of the 'Urban Regeneration New Deal Project' methodology, this study aims to propose a system that recommends urban regeneration types suitable for urban regeneration sites by utilizing various machine learning algorithms, referring to the urban regeneration types of the '2025 Seoul Metropolitan Government Urban Regeneration Strategy Plan' promoted based on regional characteristics. There are four types of urban regeneration in Seoul: "Low-use Low-Level Development, Abandonment, Deteriorated Housing, and Specialization of Historical and Cultural Resources" (Shon and Park, 2017). In order to identify regional characteristics, approximately 100,000 text data were collected for 22 regions where the project was carried out for a total of four types of urban regeneration. Using the collected data, we drew key keywords for each region according to the type of urban regeneration and conducted topic modeling to explore whether there were differences between types. As a result, it was confirmed that a number of topics related to real estate and economy appeared in old residential areas, and in the case of declining and underdeveloped areas, topics reflecting the characteristics of areas where industrial activities were active in the past appeared. In the case of the historical and cultural resource area, since it is an area that contains traces of the past, many keywords related to the government appeared. Therefore, it was possible to confirm political topics and cultural topics resulting from various events. Finally, in the case of low-use and under-developed areas, many topics on real estate and accessibility are emerging, so accessibility is good. It mainly had the characteristics of a region where development is planned or is likely to be developed. Furthermore, a model was implemented that proposes urban regeneration types tailored to regional characteristics for regions other than Seoul. Machine learning technology was used to implement the model, and training data and test data were randomly extracted at an 8:2 ratio and used. In order to compare the performance between various models, the input variables are set in two ways: Count Vector and TF-IDF Vector, and as Classifier, there are 5 types of SVM (Support Vector Machine), Decision Tree, Random Forest, Logistic Regression, and Gradient Boosting. By applying it, performance comparison for a total of 10 models was conducted. The model with the highest performance was the Gradient Boosting method using TF-IDF Vector input data, and the accuracy was 97%. Therefore, the recommendation system proposed in this study is expected to recommend urban regeneration types based on the regional characteristics of new business sites in the process of carrying out urban regeneration projects."

Medical Accessibility Analysis by Optical Store and Ophthalmic Clinic Distribution (Centering on Special and Metropolitan Cities) (안경원과 안과의원 분포에 따른 의료접근도 분석 (특별시와 광역시 중심으로))

  • Ye, Ki-Hun;Lee, Wan-Seok
    • Journal of Korean Ophthalmic Optics Society
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    • v.21 no.3
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    • pp.159-171
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    • 2016
  • Purpose: This study investigated medical accessibility on optical stores and ophthalmic clinics of Seoul Special City and six other metropolitan cities. Methods: By using a number of households, population, optician stores, ophthalmic hospitals, and real estate (apartments) standard market price of Seoul Special City and six other metropolitan cities provided by the Commercial District Information System (2016.6) of Small Enterprise & Market Authority, we analyzed the level of healthcare accessibility and business area zones, Statistical analyses were performed with SPSS 18.0. Results: Inchon (household 2,227/population 5,723) had the highest household and population rate per optical store, and Gwangju (1,146/2,979) had the lowest. Gwangju (24,612/63,987) had the highest household and population rate per optical store, and Seoul (10,021/24,432) had the lowest. From the consumer and patient's point of view, lower household rate per optical store is a city with good accessibility to healthcare, but from an optical store and ophthalmic clinic's view, it will have great difficulty due to issues of competition. Conclusions: Consumers and patients should be the center of healthcare. A healthcare system that can provide smooth service anywhere anytime should be constructed. However, most metropolitan cities, including Seoul, have optical stores and ophthalmic clinics densely populated where profitability and liquidity are ensured and causing unbalanced distribution of healthcare. To solve such problems, we need proper distribution of optician stores according to the population proportion and industrial-educational research to find balance point of local healthcare.