• Journal of the Economic Geographical Society of Korea
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• v.15 no.2
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• pp.304-313
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• 2012

Uncertainty increases as a result of environment change and change of individual decision-making in extreme weather. This study consider individual decision-making which has been not covered until now. The purpose of this study is making Agent-Based Model to predict it more accurate that how much change travel demand in heavy rain and heavy snow. Through this model, it can be utilized to forecast travel demand, changes in travel behavior and traffic patterns. It will be also possible to predict discomfort index and risk of accidents.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.262-274
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• 2013

Heavy rain and heavy snow as representative extreme weather are recently an issue in urban area. The paper aims at modeling the scenarios of evacuation that minimizes economic loss of the designated urban area with improving travel efficiency by providing road closure information facing an extremely heavy rainfall. The paper develops a model by using a NetLogo toolkit applied to the study area of Seocho-dong, Seocho-gu, Seoul. The model conducts a simulation of travel time under different scenarios of information provision. The simulation results show that it is efficient to provide the information of road closure to 20~40% of the drivers under the scenario of humid road or rainfall less than 20mm, whereas to 40~60% of the drivers under the scenario of heavy rainfall more than 20mm.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.2
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• pp.206-227
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• 2012

This study investigates the interaction mechanisms and processes between cyber space and real space. In particular, we analyze the relationships between changes on the economic landscape of the Bookchon region and the information supply and demand for this area on the Internet Blogs. In order to obtain the behavioral data about how people get information for Bookchon area and the reaction afterward, we perform questionnaire survey. The results of analysis reveal that there are significant connection between real space and cyber space, Internet Blog in particular. Internet Blog is the major media obtaining information about Bookchon area for major portion of people. Most people visit Bookchon after searching informations about it via Internet Blog. In particular, young generations who possess better capability to treat social media. At the same time, female, student, and office workers show these attitudes very strongly. We introduce a conceptual model for the interaction processes between cyber space and real space based on the survey data analysis, and propose a simple theoretical model for the dynamics of the total number of visitors about specific place with the experience of cyber space visit.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.2
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• pp.179-194
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• 2009

The spatial distribution of crime incidences in urban neighborhoods is a reflection of their socio-economic environment and spatial inter-relations. Spatial interactions between offenders and victims lead to spatial autocorrelation of the crime incidences. The spatial autocorrelation among the incidences biases the interpretation of the ecological model in OLS framework. This research investigates residential crimes using residential burglaries and robberies occurred in the city of Columbus, Ohio, for 2000. In particular, the spatial distribution of incidence rates of residential crimes are accounted in OLS framework using eigenvectors, which reflect spatial dependence in crime patterns. Result presents that handling spatial autocorrelation enhanced model estimation, and both economic deprivation and crime opportunity are turned out significant in estimating residential crime rates.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.189-213
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• 2017

This study seeks to critically examine the significance and limits of the cluster adaptive cycle model for analysis of cluster evolution and to propose research issues for future analysis of cluster evolution based on this critical examination. Until the 1980s, research on industrial complexes including clusters was based on a 'static perspective' that focuses on the aspect of economic space at a specific point in time, but the research paradigm has recently shifted to a 'dynamic perspective' focusing on 'evolution' of 'complex adaptive systems'. As a result, the adaptive cycle model has attracted attention as an analysis tool of dynamically evolving clusters. However, the cluster adaptive cycle model has emerged by being appropriately modified and expanded according to the properties of the cluster and its evolution. The cluster adaptive cycle model is a comprehensive analysis framework that identifies the characteristics of cluster evolution in terms of resource accumulation, interdependence, and resilience and classifies cluster evolution paths into six different categories. Nevertheless, there is still a need for further discussion and supplementation in terms of theoretical and empirical research to expand and deepen the model. Therefore, research issues for future analysis of cluster evolution are to specify and elaborate the cluster evolution model, to emphasize the concept of resilience, and to verify the applicability and usefulness of the model through empirical research.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.3
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• pp.482-501
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• 2014

Most textbooks of urban geography explain that land value drops down with distance from the Peak Land Value Intersection of urban center. However, There is little rigorous empirical work supporting this belief. Using the publicly notified individual land price data of 2013, this paper examines the structure of land value in urban center with a focus on spatial distribution of land value by land use. As an analytic result, the structure of land price varies between land uses, significantly being different from the classical model of land value in urban space. In residential lands and mixed-use lands for residence and commerce, land price gradient as a function of distance from PLVI is positive and a crater phenomenon even is identified in spatial distribution of land value. The classical model coincides only with land for commerce and office. Nonetheless, predict of land uses by land value function fairly corresponds to Alonso's model.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.4
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• pp.408-420
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• 2023

As the cultural industry might be regarded as the most intimate industry to the general public, it is relatively easy to be widely accepted. With the development of the internet, not only people in various countries have been closely connected, but production networks around the world might also be connected with each other. This article will use data and case studies to clarify how global production networks operate in the development of the cultural industry. By taking the relatively novel point of contact of connection between global production networks and the development of the cultural industry, it summarizes the development models of the film, television and music sectors in the Korean cultural industries. The study found that the development model of the film, television and music industry from the 1990s to the present could be divided into four phases, and most firms are now in the outsourcing and expansion phase. Relying on the huge production networks, these two industries are likely to be improving their popularity and added value through global cooperation.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.4
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• pp.458-476
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• 2023

This study analyzes previous research on 'The Self-Governance of the Commons' to overcome 'The Tragedy of the Commons', and derives elements for successful commons management. These factors are compared and analyzed with the social and economic attributes of the Jeju Haenyeo community, a successful community self-governance model. In addition, in the recently changing environment, it is revealed whether this internal community mechanism can be useful in the future. The goal is to reveal what social and economic factors will help the sustainability of the Jeju haenyeo community in the future. As a result of analyzing the internal operating mechanism of the Jeju haenyeo community, the production and distribution system that improves trust and reciprocity, the inherent sense of community, the division of roles between formal and informal organizations, and the institutionalized explicit and implicit norms within the organization served as internal and external strengths of community sustainability. However, the closure of the network, the crisis of productivity, the weakening of homogeneity, and the emergence of new subjects acted as internal and external weaknesses. In conclusion, for the sustainability of the Jeju Haenyeo community, it is necessary to reorganize the reproductive function of labor using the haenyeo school, to maintain clarity on the subject of livelihood and cultural transmission, and guarantee the income of Haenyeo.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.694-711
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• 2016

This study analyzes the spatial characteristics of knowledge industry which has shown relatively rapid growth in the low-growth economy situation in recent years. In particular, we catch hold of the locational characteristics of the knowledge service industry which occupies the highest ratio by professional-expert jobs favoured by young generations, as well as estimate their occupational employment opportunities. By applying Location Quotient(LQ) and LISA, we reveal the spatial distribution patterns of publishing business, information service business and education service business in the Seoul Metropolitan area, and examine the changes in the spatial patterns during the last ten years. In order to understand the socio-economic factors which explain their locations, we apply the stepwise multiple regression analysis. Furthermore, we predict the changes distribution of Knowledge service industrial employment by applying Markov Chain Model. As the result, we found their clusters at the specific locations, while there is the significant variations in the socio-economic variables related their locations respectively. The related job opportunities of the knowledge service businesses in the Seoul Metropolitan area are predicted steady growth trend for the next four years, even though dull or stagnant trend is expected for other industries. This study provides basic resources to the planning for young generation employment problem.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.4
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• pp.567-584
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• 2013

This study aims to explore an evolutionary path of the IT service industry in Fairfax County using the Cluster Adaptive Cycle model in economic geography. The analysis is based on detailed historical and industrial information obtained through a variety of data sources including local archival materials, economic census, and interviews. This study also performs a shift-share analysis during the period of 1990 to 2011. Using the adaptive cycle model, the local IT service industry is indicated by a trajectory of constant cluster mutation. The evolution of the local IT service industry has been closely related to federal government policy due to the regional specificity of the National Capital Region and the proximity of the Department of Defense. Although the economic downturn of the late 2000s, the local IT service industry has been notable resilience and adapted to a changing market and technological environment. This constant mutation of the local industry is resulted from not only high resilience which is based on the large government procurement market, the reinforcement of adaptive capacity of the local firms and the network of economic agents such as firm and supporting institutions, but also high flexibility of the knowledge-based service industry to a changing business environment.