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pISSN : 1229-8638

2020 KCI Impact Factor : 1.5
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2019, Vol.103, No.

  • 1.

    The Analysis on Research Trend of Territorial and Urban Planning for Mack Joong Choi Through Text Mining: Focused on His Academic Papers

    Hyungun Sung | In Kwon Park | kyu hyun Ji and 5other persons | 2019, 103() | pp.3~26 | number of Cited : 6
    Abstract PDF
    This study is aimed at identifying the research trend of Mack Joong Choi on territorial and urban planning through text mining on his academic papers published in both domestic and international journals. The study employs text mining methodologies, specifically using a word frequency analysis and a bi-gram language modeling for the titles and topic modeling for abstract contents. Analysis results by the word frequency method demonstrate that his major research topic had been focused on housing-related topics based on empirical evidence. Analysis results by the bi-gram language modeling does not only indicate that his major research topic is housing-related study based on empirical evidence, but also suggest that he had focused on such other research topics as urban development, residential location, social mix, and rail station area development. Analysis results on the topic modeling would identify that his research trend would be categorized into housing market and urban development and planning, which they can be named as private and public sector of the territorial and urban planning field, respectively, if it would be divided into two topics. The topic modeling analysis also informs us that his research could be more specifically classified into 13 topics. Lastly, analysis results on yearly research trend demonstrate that he dealt with emerging issues at that time while researching with more diverse issues such as leisure at recent years.
  • 2.

    Automatic Detection of the Access-restricted Sections based on Geographic Characteristics of At-grade Intersections in High Definition Maps

    Lee Junhyung | Chi-Hyun SHIN | Kim Youngjin and 1other persons | 2019, 103() | pp.27~39 | number of Cited : 1
    Abstract PDF
    This study focuses on the algorithm which can automatically detect the access restricted sections based on geographic characteristics of at-grade intersections in high definition maps. Some pre-works such as classification of intersection type, defining the geometrical boundary of intersection and measuring the threshold distance are necessary to detect access restricted section. The high definition map includes the lane, link, stop line and node information which are the base information to determine access-restricted sections. The geometrical boundary of intersection is defined as the cross, diverge and merge conflict area. The acceleration and deceleration lane is vertically separated from the mainline or channelized lane by the traffic island or painted island. The maximum length of the acceleration and deceleration lane is defined as 400m based on the merging and diverging influence area in highway capacity manual. The access-restricted section detection algorithm is designed based on the layer attribute data of a high definition map. The algorithm validation results show a 86.8% accuracy in the 61km long study site. Due to the high definition map error and complicated field conditions, there were some errors in the result. Nevertheless, the high definition map still the most suitable map to detect the access restricted section. The accuracy of this access restricted section detecting algorithm can be improved under the following conditions; Expand the coverage of high definition map, increase the accuracy of high definition map data and introduce a live high definition map.
  • 3.

    A Study on Dynamic House-Rent Relationship through Jeonse-to-Rent Ratios

    Hyun-Tak Lee | 2019, 103() | pp.41~60 | number of Cited : 0
    Abstract PDF
    This paper develops a new present-value framework in rental housing markets in Korea. To implement the model precisely, I use Seoul apartment data and devise a log price-rent ratio that is a linear combination of home prices, Jeonse, monthly deposits, and Jeonse-to-rent conversion rates. I show that the ratios strongly predict one-period-ahead conversion rates, not the long-term ones. This finding points out that the conversion rate is so transient that its shock could hardly cumulate over time, thereby little affecting the home prices in the long run. In contrast, I find that the ratios strongly forecast long-term deposit growth, not its short-term growth. The rationale behind this is that its shock is so persistent as to build up over time, which affects the home prices significantly in the end. The implication is that we should monitor an irrational swing of the deposit behavior to attenuate the excess volatility of the apartment lease market.
  • 4.

    Analysis of Changes in Degree Centrality According to Changes in Major Participants by Time in Urban Regeneration Project : Focusing on the Suncheon City

    Gim, Eo-Jin | Koo, Ja-Hoon | 2019, 103() | pp.61~78 | number of Cited : 2
    Abstract PDF
    The purpose of this study was to analyze the characteristics of change in the connection center of participants by period, centering on the urban regeneration project of Suncheon city. The results of the analysis are as follows. First, the city's urban regeneration project was led by the public, but had unique characteristics of governance closely related to the private sector. Second, six small cultural hubs were dispersed in the region, attracting experts to the cultural centers, and people were coming to the vicinity to form a strong network. Third, as the urban regeneration project was promoted, the social network expanded, but the changes of the network were analyzed except for the main influencers such as civil servants and intermediary support organizations, but the network did not change significantly. By subcategory, information sharing and opinion sharing are maintained, but friendship and trust have changed. Since this is not a role that the public can play, it is necessary to expand the network in the private sector. Through the analysis of this study, Suncheon City Regeneration Project can be defined as a private diffusion urban regeneration project through a small cultural base led by public.
  • 5.

    The Meaning of Social Capital and Its Link to Regional Innovation

    PARK, JONG HWA | 2019, 103() | pp.79~98 | number of Cited : 2
    Abstract PDF
    This research examines the relationship between social capital, regional innovation capability, and regional innovation, and emphasizes the complexity and reciprocal circularity of the relationship. In contrast to the conventional linear innovation approach that emphasizes unidirectional innovation process in the regional development model, it emphasizes a dynamic approach that more comprehensively examines the impact of social capital on regional innovation capability or regional innovation. The analysis shows that the dual aspect of social capital as a resource and result of regional innovation is prominent. Social capital can, among other things, contribute to the formation of regional innovation capability and regional innovation. Moreover, social capital needs to be examined as a result of regional innovation along with its role as a ‘hidden link’ of regional innovation capability. Here, for the role of social capital as a resource of regional innovation, this research has, first of all, analyzed the connection between the components of regional innovation and social capital, illuminated the two aspects of social capital using contradicting empirical analysis results, and analyzed the function of social capital as a 'hidden link' of regional innovation capability. In terms of core components and circular processes, this research has, for the aspects of social capital as a result of regional innovation, revealed the formation and operation of cooperation norms and participation networks, the reinforcing aspects of the virtuous circle of collective actions, and the emergence and flow of new equilibrium.
  • 6.

    Land Use Changes according to Recent Land Use Policy in the Greenbelt of Seoul Metropolitan Area

    Yun, Seung-Yong | Son, Yong-hoon | 2019, 103() | pp.99~114 | number of Cited : 0
    Abstract PDF
    The development of the Greenbelt policy has diversified the land-use. However, the recent issue is that the green area is damaged by maldevelopment in the Greenbelt area. The paper explores the land-use changes under a greenbelt policy using the spatio-temporal analysis method in the Greenbelt in Seoul Metropolitan. The results show that the maldevelopment of green areas has been a notable problem after the amendment of the Greenbelt policy in 2000. First, land cover changes represent that the lack of land outside of the Greenbelt fostered the development in the Greenbelt area. Second, the number of buildings in Greenbelt for plants and animals sharply increased around the time of the Greenbelt policy amendment. This finding shows that these representative land-use changes occurred under the influence of Greenbelt policy. To prevent maldevelopment and efficiently manage the green area in the Greenbelt by reflecting changes in land-use, it is necessary to develop a green quality indicator, to promote awareness for green conservation.
  • 7.

    Reliability Evaluation of KOMPSAT-3A Training Data Automatically Selected Using Iterative Trimming Algorithm

    Cho, Ki-Hwan | Jeong, Jong Chul | 2019, 103() | pp.115~129 | number of Cited : 1
    Abstract PDF
    Image classification is one of the key issues of remote sensing technology and selecting training data is an essential process in supervised image classification. Dramatically increasing imagery data require more effective and automated classification techniques. The traditional process of selecting training data requires intensive manpower and, as a result, it has been costly and time-consuming. This study proposed an automatic training data extraction technique using outdated geographic information system (GIS) data and its applicability was tested. We used a high-resolution KOMPSAT-3A satellite image taken on July 7, 2018, and the land cover map in 2015 for the test of automated training data extraction based on the iterative trimming algorithm. First, the training data were extracted based on the polygon of the land cover map. Then, the probability distributions of each land cover class were estimated using kernel density estimation. The outliers were removed in the order of low probability. The bootstrap technique was used to determine the ratio of removing outliers. The ratios were different among the land cover classes. The removing ratio was 0.08 for the urbanized area, 0.16 for agriculture/land, 0.04 for forests, 0.16 for bare soil and 0.04 for water. With the refined training data, image classification was conducted. This approach allows automatic extraction of training data based on GIS data without manual digitizing. It is expected to contribute to an automatic and timely update of the urban land cover map with high-resolution imagery.