• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.5-20
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• 2020

This study analyzed the effect of social, economic, and physical improvement in urban regeneration projects using difference in difference method in Busan and Cheongju City, utilizing population, regional economic, and old building data. The results of analysis indicated that the urban regeneration project had no effect on the social, economic, and physical improvement of the project area comparing the neighboring areas. In other words, at the end of the urban regeneration project, the business performance was not evident. Therefore, it is difficult to expect social, economic, and physical improvement if the urban regeneration project does not consider the linkage with the detailed project composition. In particular, it is necessary to carefully select detailed projects that meet the purpose of the project when establishing urban regeneration plans in the future.

• Land and Housing Review
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• v.5 no.4
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• pp.281-290
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• 2014

This comparative analysis on the project scheme of property-led regeneration of UK and Japan aimed to suggest the implications for economy-based urban regeneration of Korea. Property-led regeneration attract private capital by deregulation and public investment since 1980s' neoliberalism. Its effectiveness for creating job and economic growth is demonstrated through last decades. The cases of property-led urban regeneration of 2000s, such as Stratford, King's Cross, Otemach and Shinonome, show decrease of public direct investment, promoting deregulation. It also proved that property-led urban regeneration has a great ripple effect to local economy. And the partnership among central and local governments, public development corporations, private developers and other local interest groups is emphasized for delivering successful urban regeneration. Especially, human empowerment of local government and responsibility of public organization are also required to deliver urban regeneration.

• Land and Housing Review
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• v.7 no.4
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• pp.239-249
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• 2016

This study aims to find implications for urban economic regeneration strategies of local initiative by analyzing of promoting regional strategic industries, both Seongnam and Goyang in terms of regional industrial policy, institution and specialized service agency. The main results based on the case studies are as follows. First, It is a top priority to formulate the policy direction, such as selecting strategic industries and prepare means for improving it. It should keep reliability and continuity for inducing economic units. Second, It is necessary to consider the effectiveness and diversity of institutions. The institutions to be formalized by municipal ordinance and rules for making the successful implementing system of policies. It is necessary to implement strategic industry policy linked with the central government or public organizations for expanding of a diversity of policies. It is necessary to change in viewpoint on the deregulation and tax break for the private sectors as inducements to achieve the regional economy activation. Third, It is necessary to introduce the specialized service agency to improve an effectiveness and efficiency of institutions and accelerate a network within economic units.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.147-148
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• 2010

낙후된 도시를 정비하는 방법으로 새로이 등장한 거점확산형 주거환경개선사업은 전면철거방식인 주택재개발사업이내 공동주택 건설방식과 비교하여 지역주민의 재정착 비율이 높고, 기존 도시 조직을 고려하며 점진적으로 개발할 수 있는 기성시가지 정비수법으로 주목받아 왔다. 또한 지역의 침체된 경제를 활성화시키고 황폐화된 구시가지를 회복시키기 위하여 정부에서는 도시의 새로운 경쟁력을 찾고 지역 주민의 삶의 질을 보장하기 위해 지역 주민의 삶의 질을 보장하기 위해 지역 커뮤니티를 근간으로 하는 도시재생사업을 추진하게 되었다. 효과적인 거점확산형 주거환경개선사업을 위해서는 주민참여가 중요하며, 현재에 이르러서는 필수적인 요건이 되었고, 도시계획 역시 주민과 함께 하는 방향으로 변화하게 되었다. 이에 따라 GIS도 주민과 같은 비전문가의 의사결정을 지원하기 위한 도구로 확대되어 활용되고 있다 하지만, 현행 주민참여 방식은 형식적인 수단에 불과하며, 주민 참여도를 높일 수 있는 획기적인 방법은 아직도 연구해야할 과제이다. 따라서 본 연구에서는 커뮤니티의 재생을 목적으로 하는 거점확산형 주거환경개선사업에서 능동적 주민참여를 좀 더 효율적으로 이끌어 내고자 사업정보제공서비스, 주민의사반영 서비스, 쌍방향적 의견교환서비스, GIS 서비스를 제공하는 커뮤니티 재생을 위한 앱 기반 PPGIS 모델을 제안하였다. 최근 스마트폰의 보급률이 급증함에 따라 스마트폰의 활용은 주민들의 관심과 참여 비율의 변화를 크게 가져올 수 있을 것으로 기대되며, 커뮤니티 재생을 위한 스마트폰의 앱 기반 PPGIS 모델은 정책결정자, 전문가 그리고 주민이 서로의 생각을 교환하고 이해하는데 또 다른 유용한 의사소통 도구가 되어 주민의 참여도를 높여 줄 것이라 기대된다 특히, 스마트폰을 많이 사용하고 있는 젊은층의 흥미를 유발하여 참여도가 낮은 젊은층의 참여도를 높이는데 기여할 것이라 여겨진다,

• Korea Real Estate Review
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• v.28 no.1
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• pp.23-37
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• 2018

The genetic algorithm (GA) and branch and bound (B&B) methods are the useful methods of searching the optimal project combination (combinatorial optimization) to maximize the project effect considering the budget constraint and the balance of regional development with regard to the Urban Regeneration New Deal policy, the core real estate policy of the Moon Jae-in government. The Ministry of Land, Infrastructure, and Transport (MOLIT) will choose 13 central-city-area-type projects, 2 economic-base-type projects, and 10 public-company-proposal-type projects among the numerous projects from 16 local governments while each government can apply only 4 projects, respectively, for the 2017 Urban Regeneration New Deal project. If MOLIT selects only those projects with a project effect maximization purpose, there will be unselected regions, which will harm the balance of regional development. For this reason, an optimization model is proposed herein, and a combinatorial optimization method using the GA and B&B methods should be sought to satisfy the various constraints with the object function. Going forward, it is expected that both these methods will present rational decision-making criteria if the central government allocates a special-purpose-limited budget to many local governments.

• 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."