• Journal of the Korean Regional Science Association
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• v.39 no.1
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• pp.3-20
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• 2023

This study aims to categorize the 14 major gentrified commercial areas of Seoul and analyze their characteristics based on their sense of place. To achieve this, we conducted hierarchical cluster analysis using text data collected from Naver Blog. We divided the districts into two dimensions: "experience" and "feature" and analyzed their characteristics using LDA (Latent Dirichlet Allocation) of the text data and statistical data collected from Seoul Open Data Square. As a result, we classified the commercial districts of Seoul into 5 categories: 'theater district,' 'traditional cultural district,' 'female-beauty district,' 'exclusive restaurant and medical district,' and 'trend-leading district.' The findings of this study are expected to provide valuable insights for policy-makers to develop more efficient and suitable commercial policies.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.101-109
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• 2023

According to data released by the Covid 19 Self-Employed Emergency Response Committee, 95.6% of small business sales due to Covid 19 have decreased over the past two years, and the damage has further increased due to social distancing for quarantine. However, as all social distancing guidelines have rebeen lifted, and the commercial district has been revitalized, the Seoul Metropolitan Government is pushing for a project to foster local brand commercial districts so that small business owners or prospective founders who have closed their businesses due to the prolonged COVID-19. Therefore, this study propose the model that recommends alley commercial districts suitable for founders among the five alley commercial districts selected for the project to foster local brand commercial districts in Seoul. The Seoul Metropolitan Government's local brand alley commercial recommendation system recommends major population age groups and major industries in the commercial district by combining the population perspective model using Xgboost and the commercial district characteristic model using Decision Tree.

• Journal of Cadastre & Land InformatiX
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• v.45 no.1
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• pp.225-240
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• 2015

The effect of passing pedestrians'characteristics on locational goodwill was empirically modeled and tested. The theoretical basis for the study was central place theory, bid rent and, agglomeration theory, and demand externality theory. The data included information on goodwill, retail rents and passing pedestrians' characteristics in 100 retail trade areas in Seoul. The empirical model was tested with the sample of 1,307 retail units in Seoul, South Korea. The data set was analyzed with the Classification and Regression Tree software. As the results, using the regression tree method, the variables does affect locational goodwill in the each retail trade area were the volume of pedestrians around 2:00 pm on weekdays, volume of pedestrians around 4:00 pm on weekdays, and volume of pedestrians around 8:00 pm on weekdays. In summary, not only the economic base in the retail trade area but also the volume of passing pedestrians should be considered to determine the locational goodwill.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.175-186
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• 2023

In this paper, we aim to build a gentrification analysis model and examine its characteristics, focusing on the point at which rents rose sharply alongside the recovery of commercial districts after the gradual resumption of daily life. Recently, in Korea, the influence of social distancing measures after the pandemic has led to the formation of small-scale commercial districts, known as 'hot places', rather than large-scale ones. These hot places have gained popularity by leveraging various media and social networking services to attract customers effectively. As a result, with an increase in the floating population, commercial districts have become active, leading to a rapid surge in rents. However, for small business owners, coping with the sudden rise in rent even with increased sales can lead to gentrification, where they might be forced to leave the area. Therefore, in this study, we seek to analyze the periods before and after by identifying points where rents rise sharply as commercial districts experience revitalization. Firstly, we collect text data to explore topics related to gentrification, utilizing LDA topic modeling. Based on this, we gather data at the commercial district level and build a gentrification analysis model to examine its characteristics. We hope that the analysis of gentrification through this model during a time when commercial districts are being revitalized after facing challenges due to the pandemic can contribute to policies supporting small businesses.

• Korean small business review
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• v.41 no.1
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• pp.53-73
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• 2019

Recently, as the number of shopping facilities has increased, such as complex shopping malls, warehouse type superstores, large fashion outlets, and so on, the conflicts over the opening of large stores between neighboring municipalities are increasing. However, current regulations on the opening of large-scale stores, such as the impact analysis on commercial area, do not adequately reflect the characteristics of new type shopping facilities. In this study, we tried to suggest a rational policy alternative with more realistic suitability by analyzing the characteristics of 'regional shopping facilities' beyond the scope of the municipalities, and analyzing the impact on the regional merchants. The main results of the study are summarized as follows. First, unlike previous researches, which are limited to small business sector, this study presents the results of comprehensively comparing and analyzing the impact on the detailed sectors of the whole distribution market, including the large distribution sector and online distribution sector. Second, in this study, we calculated the total (average) amount of market penetration rate of existing shopping facilities by the entire regional shopping facilities in the Seoul metropolitan area, and this is considered to be of great value in relation to the recognition of problems at the whole level of the metropolitan area and the search for alternative solutions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.175-177
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• 2015

One of the basic things in the process of startup business may be the clear analysis and understandings on commercial sites. In this point, this study is to analysis the system of commercial power analysis provided in Small Business Portal and to suggest additional specific needs and the function of decision making support which users can easily use and understand. been used for various purposes such as advertisement and marketing in various businesses.

• Journal of Cadastre & Land InformatiX
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• v.45 no.2
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• pp.217-235
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• 2015

The study has analyzed the determinants of retail rents for the franchised coffee shop with the Multi-Regression analysis in Seoul. Central place, agglomeration, and demand-externality theories provide the basis for empirical models. The data used in this study consisted of 2,000 retail units in Seoul. As the results, the results show that coffee shop of retail sales per $3.3m^2$ and characteristic of retail trade-areas, and characteristic of coffee shop affects on the coffee shop's rents per $3.3m^2$. Coffee Shop's sales are the major determinant of coffee shop's rents. Also, coffee shop's goodwill per $3.3m^2$ and rental bond per $3.3m^2$ are positively correlated with a coffee shop's rents. Additionally, number of wholesale company and manufacturers in the retail trade-areas influences coffee shop's rent per $3.3m^2$. In summary, the study shows that coffee shop's brand identity, location and retail mix in the retail trade areas affects a coffee shop's rent per $3.3m^2$.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.177-192
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• 2014

The factors that affect on the ratio of monthly rent to total rents in commercial real estate lease contract was empirically investigated. The theoretical basis for the research was location theory, retail trade-area analysis, bid rent, agglomeration theory, and demand externality theory. The data used in this study included information on goodwills per 3.3 square meters, deposit money per 3.3 square meters, retail rents per 3.3 square meters, and passing pedestrians' characteristics in 96 retail trade areas in South korea. As the results, using the hedonic price functions and multi-regression analysis, the independent variables does affect the ratio of monthly rent to total rents in the each retail trade area were goodwills per 3.3 square meters, deposit money per 3.3 square meters, retail rents per 3.3 square meters, and the number of Small Wholesale Retail Trade Firms at the level of nation. also, the results show goodwills per 3.3 square meters and the number of Small Wholesale Retail Trade Firms are important factors in determining the ratio of monthly rent to total rents in commercial real estate lease contract in seoul. In summary, not only the economic conditions in the retail trade area but also the passing pedestrian count should be considered to determine the ratio of monthly rent to total rents in commercial real estate lease contract.

• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.483-484
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• 2015

본 논문에서는 새로운 형태의 철도 차량용 추진 시스템인 리니어펄스모터의 구조적 특징을 분석하고 그 구조적 특징으로 발생하는 문제점의 해결방안을 제시한다. 따라서 지상에 포설되는 2상의 고정자 상권선 중 A상 권선 상부에 B상 권선이 적층되어 포설되는 특징으로 인하여 발생하는 일종의 토크 리플 성분을 저감하기 위한 기법을 제시하며 모의실험 및 실제 실험을 통하여 제시한 토크 리플 저감 기법의 타당성을 검증한다.

• Journal of the Korean Society for Heat Treatment
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• v.18 no.2
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• pp.119-125
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• 2005