• Journal of the Korean association of regional geographers
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• v.19 no.4
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• pp.641-653
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• 2013

This study analyzed the location of manufacturing industries and works' residence in Yangsan city of which large part of industries were relocated from Busan metropolitan area along the industrial suburbanization process. Through the field survey, in-depth interview, and analysis of statistical data, the study tried to describe the relocation characteristics of manufacturing industries in Yangsan city. The results of the analysis are as follows: 1. The relocation rate of manufacturing industries from Busan to Yangsan was very high in 1980s. As a result of analysis, the first prime factor on relocation was the site problem for industrial land use. But for the newly starting industries, the most important factor was the subcontract networks among industries which differed from relocated ones. 2. The industrial suburbanization process influenced on the industrial structure strongly, as the compositional weight of rubber and plastic industries in Yangsan became greater and the size of the major plants got larger. 3. The manufacturing industries in Yangsan city were widely distributed on the main national industrial districts. Also, they were diffused out to the other places beyond the boundary of industrial districts. 4. The commuting workers' residence in Busan, employed by the plants of Yangsan marked 44.5%. That confirmed the strong influence of Busan labor market.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.1-17
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• 2020

The study aims to identify economic interdependencies between regions and define functional economic areas of Korea by analyzing inter-firm transaction networks. Previous research has relied on pre-given administrative boundaries or cultural homogeneity and used data such as commuting, population movement, and cargo flows which could not fully explain economic activities. To overcome the limitations, this study applies a community detection method to inter-firm transaction networks derived from the CRETOP+ database of Korean corporate data. The novel dataset and the network analysis enables us to identify Korea's functional economic areas based on actual inter-firm linkages. The result shows that there are six to seven economic blocs in the networks as of 2018. In particular, one huge economic bloc is formed integrating the Seoul metropolitan area, Chungcheong, and Gangwon provinces. Meanwhile, North Jeolla and South Jeolla provinces form two economic blocs separately rather than being tied up in one bloc due to the low frequency of transactions between each other. The two big economic blocs of Daegu-Gyeongbuk and Busan-Gyeongnam exist, and interestingly, Ulsan, Gyeongju, and Pohang form a separate middle-sized bloc across the administrative boundaries. The results reveal that the future balanced national development policies should be implemented based on functional economic areas derived from empirical data.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.21-27
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• 2020

This paper studies the impact of domestic and foreign economic activity on mobility among regions. The shortage of human resources and demand continues in Eastern Europeans. Especially Ukrainians, have entered the Polish labor market to make up for the scarce areas. As a result, Poland's supply and demand in Ukraine is disproportionate. Minimum wage increases are putting continued pressure on employers. Therefore, the regression equation in the form of job-seeker's economic activity ratio, y= AX²+B,(x=settlers) can be used to grasp the relationship between curves. According to the domestic and foreign workers who migrated, economic activities was rather than increasing the local population, the settlers of nearby large cities is more proportional. Empirical analysis has shown that the human resource hub has increased migration to large cities and industrial. The hub 'A'nation has been created for mobility in 4th wave re-industry, and the same re-industrialization (N₂) in other cities has attracted nearby human resources, but not settle. After all, the hub relationship between N₁ and N₂ is a mobile relationship. Due to wage inequality or a positive wellbeing chasm, workers are not settled plant area but a nearby city, or commuting between borders is easy to go into the hub central city. However, this proved on emerging from the relatively temporary settlers in the AI era.

• Journal of dental hygiene science
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• v.2 no.2
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• pp.115-119
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• 2002

This study was carried out to evaluate the status of oral health in physically or mentally handicapped students. The status of oral health in 597 handicapped students of six special education institutes and 731 normal students in Chonbuk province were inspected by a dental hygienist from August to November of 1999. 1) The DT index(Decayed Teeth index) was significantly higher in handicapped students comparing with those of normal students. The proportions of children having gingivitis and malocclusion were also significantly higher in handicapped group (p<0.01). 2) The incidences of dental caries, gingivitis and malocclusion were significantly higher in mentally retarded students comparing with those of physical or sensory impairment groups(p<0.01). 3) Handicapped students participating in the regular school teeth-control program showed significantly low incidences of gingivitis and malocclusion comparing with non-participants. However, dental caries had no relationships with teeth control program. There were no differences between commuting and domitory-resident students in the incidences of dental caries, gingivitis and malocclusion.

• Journal of Preventive Medicine and Public Health
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• v.27 no.3 s.47
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• pp.475-486
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• 1994

In order to provide necessary information for better health of workers through understanding the actual status of the industries adopting shift systems. The data were gathered from a stratified random sample of 347 (0.5%) firms selected out of about 70,000 manufacturing industries throughout the nation in 1993. Stratification during sampling was by industrial group and number of workers. The major findings obtained from 288 firms surveyed completely were as follows : 1. About 20.2% of the 288 firms were adopting shift systems and shirtworkers accounted for about 25.1% of the total work force in 288 firms. 2. The bigger number of workers was, the higher the adopting rate of shift system was. 3. The rate of having welfare facilities such as dining room, commuting bus, washing facilities, and health care room etc. was higher in the industries adopting shift systems. 4. The major industrial groups adopting shift systems were the rubber a: plastic goods manufacturing industry (54.1 per 100 firms) and the textile manufacturing industry (44.8 per 100 firms). However, the proportion of shiftworkers was higher in the textile manufacturing industry (70.5 per 100 firms) and the electronics industry (57.9 per 100 frms). 5. The most predominant work schedule was the weekly rotating, semi-continuos 2-crew 2-shift system (47.5%). 6. In the industries adopting shift systems, shiftworkers had an adjusted average of 0.29 spells per 100 workers ($0.14{\sim}0.45$ in 95% C.I.) compared to 0.23 spells per 100 nonshift dayworkers ($0.15{\sim}0.31$ in 95% C.I.) for 1 month. 7. Also, in the industries adopting shift systems, the adjusted average annuel turn-over rate of shiftworkers was 13.07 per 100 workers ($12.03{\sim}14.12$ in 95% C.I.) compared to 10.18 per 100 nonshift dayworkers ($9.53{\sim}10.82$ in 95% C.I.).

• Journal of the Korean Institute of Rural Architecture
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• v.1 no.1
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• pp.3-14
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• 1999

It is a important problem that the adjustment of a rural settlementas a unit of rural community, and many number of researcher tackled its. The aim of this paper is to verificate the process of rural con-struction, that is applied the regional resources, and to introduce the situation of attending inhabitants, and their employments as a results of this planning. We chose Odaira hamlets in Oomama town, it is located in Gunma prefecture as an object of this study. Odaira is a small village in the mauntain, and it is composed only 135 families. Odaira is an underpopulated hamlet. It is engaged no lively farming and forestry. Most of inhabitants are commuting to the cities around here. Inhabitants of Odaira who are conscious of the conditions of declining hamlet organized a group to improve it. This group have investigated all around the hamlet as a system of workshop. And they found the resources for sight-seeing, crops as the regional products, and other resources for rural planning under three keywords ; resources for the sight-seeing, the rigional products, and theimprovement of environments. In many resources, most important thing was the existens of a stalactite cave come down as a legend from old time. Local government of Oomama town and the inhabitants tried to explorate of stalactite cave and succesed to excavate it. They have constructed two facilities for management, parkaround the stalactite cave and these have been a new place of work for inhabitants. Arrangement of the rural constructions developed to other items schemed acording to the master plan, like as a camping ground, bungalows, a wet botanical garden, and a park beside a river. These also produced the new places of work for 54 people as a result of this rural planning. The most of them were the aged peoples and the women of farmer. The highest age was 83 years old, he is working at the camping ground. In the employment system at Odaira, people who desire to work and desire to employ both registrate to a commission of management of Odaira, and this commission arrange them in case of needs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.576-584
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• 2017

Traffic demand prediction result is a primary factor for decision making such as the traffic planning and operation. The existing traffic demand prediction 4-step model only covers the trip between the origin and the destination, and not the demand followed by the accessibility improvement, due to the characteristic of this model. Therefore, the purpose of this research is to improve the limitations of the existing model by developing the inter-city trip generation and trip distribution model with more accessibility. After calculating of the trip generation and trip distribution model with more accessibility, the sign of the accessibility coefficient was positive. Commuting was the most insensitive indicator, affected by external factors among the other trip purposes. The leisure trip was the most sensitive, affected by the trip fee. According to the result of comparison with each of estimated model and observational data, it was certain that the reliability and assumption of the model have been improved by discovering the reduced weighted average error rate, Root Mean Square Error (RMSE) and total error through the model with more accessibility compared with the existing one.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.5
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• pp.595-603
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• 2019

To alleviate the demand on private car that is constantly increasing, Busan Metropolitan City (BMC) has established Bus Rapid Transit (BRT) to revitalize public transportation. But there are no unified lane system between BRT and general bus stations, which makes off-lane turning general bus to contribute to congestion. And as the bottleneck phenomenon at entrance/exit accelerates the congestion, there has been huge dissatisfaction among commuting drivers. Therefore, this study identifies efficient methods to operate better through measuring civilian awareness. We evaluate both satisfaction and drawbacks on BRT service with Importance-Performance Analysis (IPA). We first distinguish the groups by the awareness on BRT and their main transit usage, and then clarify the difference between the groups. And as a result, the group who is positive to BRT and uses buses often demands improvement in bus indoor comfort and curbing jaywalking. On the other hand, group who is negative to BRT and uses private cars often demands improvement in lane changing and the moving speed of private cars. We next examines the groups with MDPREF, one method of Multidimensional Scaling (MDS). And we have clarified that the evaluating criteria and the individual attributes of the groups corresponds very well.

• Journal of Climate Change Research
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• v.3 no.4
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• pp.225-234
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• 2012

This study analyzes domestic and overseas companies' Scope 3 verification, level of management, source and industry characteristics based on the responses of domestic excellent companies and rated 90 points or more global excellent companies which are included in CDP Korea 200 and CDP Global 500. The result of analysis conveys that global excellent companies' Scope 3 management source achieved the average of 2.7 which is one more than domestic excellent companies', according to the Scope 3 guideline of World Resource Institute and World Business Council of Sustainable Development. For domestic companies are tend to focus on business travel, employee commuting, etc. but didn't manage capital goods, leased assets and investments. Global companies' Scope 3 source is similar to domestic companies but shows more actively managing on investment and use of sold products. It seems that domestic companies should actively develop Scope 3 source especially for the capital related items and respond to the future regulations on inter-enterprise management through the Scope 3.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.2
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• pp.40-51
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• 2021

The purpose of this study is to diagnose urban spatial structures using spatial modeling techniques for balanced urban development as part of sustainable urban growth management. Since urban spatial structure is an interaction of various activities, it is necessary to interpret the analysis results in conjunction with the analysis of changes in spatial structural elements. In this study, population and transportation were approached for research purposes. Population data were applied to the Getis-Ord G_i^* method, a spatial statistical technique, to analyze the concentration-decreasing region of the population. Traffic data analyzed the trend of centrality change by applying commuting traffic O-D data to Social Network Analysis techniques. The analysis showed that urban imbalance was growing, and the centrality of transportation was changing. The results of the analysis of spatial structure elements could be interpreted by linking the results of each factor to each neighborhood unit, predicting changes in urban spatial structure and suggesting directions for sustainable urban growth management.These results could also be used as a decision-making tool for various urban growth management policies introduced to cope with rapid urban development and uncontrollable development in many cities around the world.