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pISSN : 1229-8638

2020 KCI Impact Factor : 1.5
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2020, Vol.106, No.

  • 1.

    An Analysis of the Status of Open Space and Improvement Plan for the Disaster Prevention Park in Pohang City

    Jeong Seongjin | JUNG Tae-Yeol | 2020, 106() | pp.3~18 | number of Cited : 0
    Abstract PDF
    After the Great East Japan Earthquake 2010, earthquakes of magnitude 5.0 or higher occurred in Gyeongju and Pohang, shocking the public, and residents near the epicenter suffered great confusion and inconvenience in evacuating due to the unannounced earthquake. In the case of open spaces, such as parks and green areas, disaster prevention capabilities shall be established that can be used as a place of evacuation in the event of a disaster. But in Korea, which is perceived as relatively safe from natural disasters, most of them perform only basic functions such as rest, entertainment and health care. Therefore, It will analyze the status of the open space in Pohang, which was severely damaged by the earthquake, and conduct a survey on citizens who have had evacuation experience in the event of the actual Pohang earthquake, to analyze whether the open space served as a shelter in the event of a disaster, and suggest supplementary measures. In addition, the study highlighted the disaster prevention function when establishing the park green area policy in Pohang, suggesting and proving that the park green area is an essential urban infrastructure to protect the lives and safety of citizens in the event of a disaster.
  • 2.

    Firm Size, Networks, and Product Innovation: Evidence from Korean Manufacturing Firms

    Ye Seul Choi | Up Lim | 2020, 106() | pp.19~39 | number of Cited : 2
    Abstract PDF
    Technological innovation is crucial to the long-term survival of firm, regions and country. Among various factors that affect a product innovation, a substantial body of literature have highlighted the contribution of networks to product innovation in large-sized firms as well as small- and medium-sized firms. However, although the role and importance of networks driving product innovation by firm size are different, researchers that have investigated the relationship among innovation, networks and firm size are very few. In this study, we empirically analyze the effects of networks on product innovative outputs in manufacturing firms using negative-binomial regression model. Regression analysis is conducted separately for manufacturing firms by firm size and we use the 2010 Korea Innovation Survey data. Moreover, we explore the spatial structure of product innovation networks across regions using social network analysis. As a result of analysis, networks have a positive effect on product innovative outputs in large- and small-sized firms. In large and small firms, product innovation networks are mainly concentrated in Seoul, Gyeonggi and Gyeongnam, while Jeju and Gangwon are alienated from the network.
  • 3.

    Political Effects of Countermeasures Against Heat Wave Using System Dynamics Method: Case Study in Daegu Metropolitan City

    Kwon Yongseok | Ahn Yoojeong | 2020, 106() | pp.41~64 | number of Cited : 3
    Abstract PDF
    The heat wave is already a serious natural disaster that has been selected as a major threat to the world by 2020 at the World Economic Forum. As a result, a amount of public funds have been invested for the purpose of countering the heat wave, but it is not reasonable since it has not been closely reviewed for its effectiveness. In this study, Daegu Metropolitan City was set as a pilot system, and among the various heat wave measures, especially focused on the heat wave vulnerable class support project, we analysed using System Dynamic method how the pattern of occurrence of heat sickness, which can be seen as the effect of the policy, changes as the rate of support for the vulnerable class fluctuates. In addition, in terms of the complex prescription of the policy, we also examined the effect of the mixed prescription for the support policies for the vulnerable groups and eco-friendly policies. As a result of the analysis, strengthening the support for the vulnerable groups was confirmed to reduce the number of patients with thermal diseases, and to increase the GRDP and revitalize the local economy. High synergies are expected when supporting eco-friendly policies such as fossil energy reduction along with supporting the vulnerable groups in the heat wave. It is expected that the results of this study will be utilized as a basis for determining the priority of the heat wave countermeasures, thereby contributing to improving the efficiency of the heat wave countermeasures.
  • 4.

    Simulation Analysis of Assessing Land Subject to Purchase by the Change of Criteria for Land Purchase in Urban Natural Park Areas

    Joong-Eun KIM | Gu Jiyeong | 2020, 106() | pp.65~81 | number of Cited : 0
    Abstract PDF
    This research investigates the current operating land purchase system in urban natural park areas and derives its limits. Since the criteria for land purchase based on 「ENFORCEMENT DECREE OF THE ACT ON URBAN PARKS, GREEN AREAS, ETC.」 has been changed, this research intends to support the local countermeasure by analysing how distribution and scale of the land claim changes and how much the individual land price increased in local areas. According to the data from KLIS (Korea Land Information System) operated by Ministry of land, Infrastructure and Transport, we simulated 22,620 fields in nationwide urban natural park area (178㎢) with the average officially assessed individual land price among the criteria for land purchase. Applying the ratio less than 50%, 70% and 100% individually in the same land use and same administrative districts Eup・Myeon・Dong, the purchasable land areas increased from 43.5% to 60.7% after amending statute. Also, total amount of the officially assessed individual land price of claimed land increased from 5.9% to 14.6% of the total land price for the entire urban natural park area. In case that local governments issue municipal bonds and purchase the land in urban natural park area, it was analysed that the ratio of the officially assessed individual land price in total is also increased from at least 0.1%p to up to 40.3%p for each city and province, compared to the estimated amount of local bonds.
  • 5.

    A Study on the Spatial Factors Affecting Restaurants’ Survival Rates in the Gentrification Issue Area: Focused on the City of Seoul

    lee yong baek | Jangik Jin | 2020, 106() | pp.83~106 | number of Cited : 1
    Abstract PDF
    The objective of this study is to investigate how spatial factors affect the survival rate of restaurants in the gentrification area. In particular, this study explores the spatial characteristics of factors affecting survival rate of restaurants between regions and industrial sectors in gentrificiation areas of Seoul. For this, using survival analysis model, we focus on six commercial gentrification areas with the 2010-2018 business license data from the Ministry of Public Administration and Security. Our results show that growth in housing prices and franchise firms negatively affect survival rates of restaurants in gentrification areas. We also found that the better the access to public transportation (especially access to the subway), the lower the survival rate of restaurants in the gentrification area, and the survival rate are different by region and by industry. Our results suggest that local planning for reducing gentrification problem should be connected to commercial building rent policies and the transportation plan. Moreover, findings suggest that differentiated policies considering regional characteristics can be more effective rather than the identical policies as a way to resolve the gentrification problems in Seoul.
  • 6.

    Classification of Forest Fire Damage Grade Using Machine Learning and Sentinel-2

    Youn Hyoungjin | Jeong, Jong Chul | 2020, 106() | pp.107~117 | number of Cited : 0
    Abstract PDF
    This study applies machine learning techniques to forest fire damage area. The study area was Sokcho, Gangwon-do, which occurred forest fire damage on April 4, 2019. We used Sentinel-2 images for detecting forest fire area. We adjusted four cases for train model based on the dNBR severity level classes. We used 4 SVM kernels, because the accuracy may vary depending on the structure of the data to learning. The training results showed that in all four cases, the SVM RBF model showed the highest accuracy. The SVM RBF model with the highest training accuracy was used in the test area classification process. During the verification process, we created 300 GTP using KOMPSAT-3 for verification. Verification results show that the test results using the SVM RBF model classified (82.67%) was more affected than dNBR classification result (80.67%). The results of the study suggested a direction to incorporate mechanical learning in the analysis process for detecting and classifying forest fire damage areas.