• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.282-291
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• 2010

This study is carried out in order to suggest the effective method to enhance the resettlement of natives for re-maintenance promotion district of Asansi. This study is carried out through current status survey, native survey, and examining related laws, and the result of study is as follows. First, as a result of examining the intention of resettlement for the residents and merchants who live in the project district, 84% of residents and 80% of merchants wish to resettle. Second, in order to enhance the rate of resettlement, driving project to satisfy the demands of residents and merchants is needed. For this, house supplying policy and complex design technique for corresponding this tendency is needed because they prefer to live a single houses or housing attached to shopping street of 100 million won valued below as well as apartments,. And new types of business which can activate the function of the old city are needed, but making commercial space where current merchants can constantly do business activities is demanded. Third, the expansion of urban regeneration concept which have economics, society, culture, welfare and community as well as physical environment improvement are emphasized is needed. Fourth, the role of government for urban regeneration should be strengthened, and institutional improvement should be supported. Government needs to constantly support including financial supporting in order for the regeneration of regional city, and especially should scout for the policies which community can be maintained and should support first. For this, utilizing public lands inside project district into leading project, government should utilize into "constructing rental houses for natives", inducing the leading key facilities. Fifth, various plan techniques for the resettlement of natives of other advanced countries should be examined and be achieved.

• Journal of the Korean association of regional geographers
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• v.8 no.3
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• pp.295-313
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• 2002

While the growth of Taegu has occurred through the land readjustment project, the public sector development project and the construction of roads, its growth pattern has been shaped by physical constraints such as mountains, streams and rail roads. The processes of urban growth of Taegu are classified into four stages: the stage of urban embryo in the Chosun Era; the formation stage of the basic urban system after the Japanese Colonial Era up to 1960; the stage of urban growth in the industrialization period from 1960s to 1980; and lastly, the stage of urban expansion and maturation, with construction of extensive newly developed districts, after the 1980s. Since its promotion to a metropolitan city with the inclusion of Seongseo, Wolbae, Gosan, Ansim and Chilgok in 1981, those regions have grown into newly developed residential districts, with its accompanying high density and high rise apartments complexes, through the public sector development project. These newly developed districts are located about six to seven kilometers away from CBD of the city along with main radial roads. The sites are also located on the route of the fourth belt way of the city. While the Sangin, Seongseo and Jisan Beommul newly developed districts have developed contiguously with the existing built-up areas, the Siji and Chilgok districts have developed separately by the green belt and the Geumho River, respectively.

• Korean Journal of Remote Sensing
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• v.35 no.5_2
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• pp.819-829
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• 2019

In the disaster of collapse, an immediate response is needed to prevent the damage from worsening, and damage area calculation, response and recovery plan should be established. This requires accurate detection of the damage affected area. This study performed the detection of the damaged area by using UAV which can respond quickly and in real-time to detect the collapse accident. The study area was selected as B-05 housing redevelopment area in Jung-gu, Ulsan, where the demolition of houses and apartments in progress as the redevelopment project began. This area resembles a collapsed state of the building, which clear changes before and after the demolition. UAV images were acquired on May 17 and July 9, 2019, respectively. The changing area was considered as the damaged area before and after the collapse of the building, and the changing area was detected using CVA (Change Vector Analysis) the Representative Change Detection Technique, and SLIC (Simple Linear Iterative Clustering) based superpixel algorithm. In order to accurately perform the detection of the damaged area, the uninterested area (vegetation) was firstly removed using ExG (Excess Green), Among the objects that were detected by change, objects that had been falsely detected by area were finally removed by calculating the minimum area. As a result, the accuracy of the detection of damaged areas was 95.39%. In the future, it is expected to be used for various data such as response and recovery measures for collapse accidents and damage calculation.