• Journal of the Korean association of regional geographers
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• v.23 no.2
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• pp.376-387
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• 2017

This paper attempts to analyze the geographical characters of Twitter data and presents analysis potentials for social network analysis in geography. First, this paper suggests a methodology for a topic modeling-based approach in order to identify the geographical characteristics of tweets, including an analysis flow of Twitter data sets, tweet data collection and conversion, textural pre-processing and structural analysis, topic discovery, and interpretation of tweets' topics. GPS coordinates referencing tweets(geotweets) were extracted among sampled Twitter data sets because it contains the tweet place where it was created. This paper identifies a correlated relationship between some specific topics and local places in Jeju. This correlation is closely associated with some place names and local sites in Jeju Island. We assume it is the intention of tweeters to record their tweet places and to share and retweet with other tweeters in some cases. A surface density map shows the hotspots of tweets, detecting around some specific places and sites such as Jeju airport, sightseeing sites, and local places in Jeju Island. The hotspots show similar patterns of the floating population of Jeju, especially the thirty-year age group. In addition, a topic modeling algorithm is applied for the geographical topic discovery and comparison of the spatial patterns of tweets. Finally, this empirical analysis presents that Twitter data, as social network data, provide geographical significance, with topic modeling approach being useful in analyzing the textural features reflecting the geographical characteristics in large data sets of tweets.

• Journal of the Korean Regional Science Association
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• v.33 no.1
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• pp.29-41
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• 2017

This study proposes an integrated accessibility measurement algorithm, which is applied to the Seoul Metropolitan public transportation system consisting of bus and subway networks, and analyzes the result. We construct a public transportation network graph linking bus-subway networks and take the time distance as the link weight in the graph. We develop a time-distance algorithm to measure the time distance between each pair of transit stations based on the T-card transaction database. The average travel time between nodes has been computed via the shortest-path algorithm applied to the time-distance matrix, which is obtained from the average speed of each transit route in the T-card transaction database. Here the walking time between nodes is also taken into account if walking is involved. The integrated time-distance accessibility of each node in the Seoul Metropolitan public transportation system has been computed from the T-card data of 2013. We make a comparison between the results and those of the bus system and of the subway system, and analyze the spatial patterns. This study is the first attempt to measure the integrated time-distance accessibility for the Seoul Metropolitan public transportation system consisting of 16,277 nodes with 600 bus routes and 16 subway lines.

• Journal of the Korean association of regional geographers
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• v.3 no.2
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• pp.19-35
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• 1997

The purpose of this study is to find out the characteristics of landform in Geoje-Do using GIS and DTED data. The characteristics of landform in Geoje-Do are as follows; First, the height-range of Geoje-Do is $0{\sim}580m$, and the average elevation of it is 124m. Volcanic and granite region is mainly appeared at high elevation-region. But, we can't find out outstanding difference of elevation, according to its geology. The second. the slope-range of Geoje-Do is $0{\sim}52$ degree, and the average slope of it is 17.6 degree. The slope of volcanic and granite area is more steeper than any other region. But the results of analysis of the geology in Geojo-Do, don't show outstanding difference of the slope. The third, the area-rate of the aspect of Geoje-Do is almost same in all direction. And the area-rate of south-west direction is the highest. According to the geology of Geoje-Do, granite is distributed the most widely, and the area of volcanic and granite occupy 60% of entire island's area. According to analysis of influence of geology with elevation, geology has little relationship with elevation. According to analysis of geology and drainage network, streams are inclined to be developed well in Alluvium area. Drainage network is well developed throughout the entire island, except southeast area. The highest order of stream is 4 in 1:25,000 topographic map. The density of stream in Geoje-Do is very high, such as 1.6. The bifurcation-ratio of stream is also higher than 4 in all order. The length-ratio of stream is ranged from 1.24 to 3.25. According to the relationship between order and elevation. order is the greater, elevation is the lower. According to the relationship between order and slope, order is the greater, slope is the gentler. In this study, we use DTED Data, and compare it with topographic map data. According to the comparison, there is a little difference between DTED data and topographic map data. Therefore, to use DTED data in landform analysis, it is required coordinate matching process. This process is very important, and take very long time. Thus, if you use DTED in landform analysis, some processes are required. DTED data can be taken very easily, but its using is not simple. Because coordinate adjust is very hard work.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.319-343
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• 2009

This paper considers some kinds of socio-spatial constraints and strategies for overcoming them which immigrant workers in Korea have experienced in their work-place and life-space, with an analysis of questionnaire data and of direct interview materials on them. Though they appear somewhat satisfactory or positive with their work-place, this can be seen as a hypocritical or false attitude rather than a real one: they are forced to work with long hours (more than 70 hours per week) and rigid controls in the other' territory. Their daily life-spaces also are severe: they can be hardly embedded in an existing community with a sense of place due to serious institutional and interaction constraints, even though they seem to have a basic mobility to survive in life-spaces. In order to escape or alleviate such local constraints, they try to constitute multi-scalar (local, trans-regional, and transnational) networks, and to find informations and means to resolve or cope with them. However, this kind of endeavors of immigrant workers to make a trans-national network and social space has a limitation for them to be free entirely from constraints, which might be strengthened with a lack of geographical knowledge of them. Then immigrant workers in Korea live ineluctably with not only hybrid national identity but also with disturbed local identity in an aliened workplace and life-spaces.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.388-405
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• 2009

This paper examines the triple helix innovation system in the Oresund food cluster, considered as one of the most competitive food clusters in the globe. The result of the case study represents that the triple helix system of the Oresund food cluster is composed of three layers of triple helix spaces. Such three triple helix spaces play a crucial role in making the industry-university-government relationships interactive and dynamic. First, knowledge spaces in the Oresund food cluster are very strong and competitive in education and R&D capabilities in related to the food sector. 14 universities in the Oresund region are connected and coordinated by the integrated organization body, called the Oresund University. Second, the Oresund Food Network(OFN), as a central consensus space in the Oresund food cluster, functions as a pivotal organization that facilitates and coordinates cooperations between firms and universities. Third, most important innovation space in the triple helix system of Oresund food cluster can be science parks and business incubators such as Ideon Science Park, which contribute to linking, between research and commercialization, and between firms and universities in the region. In a nutshell, the Oresund food cluster has been evolved as an innovative regional cluster on the basis of well-established three-layered triple helix spaces of regional innovation system.

• Journal of the Korean association of regional geographers
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• v.22 no.2
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• pp.411-423
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• 2016

The purpose of this study is to analyze the specialist groups' perception and assessment on the urban development impacts by the EXPO 2012 Yeosu Korea, hosted from May 15 to August 15, 2012. In general, the specialist group positively evaluate about the urban development impacts of the 2012 Yeosu EXPO. They assess considerably positively, in particular on the enhancement of accessibility toward the capital region from Yeosu city, the vitalization of the local economy, the improvement of the city image, the invigoration of tourism resulted from the expansion of tourists accommodation facilities. In addition, they appraise that the urban development of Yeosu city would be advanced about 9.5 years in the wider transportation network and about 9.4 years the improvement of urban residential environment through hosting of the EXPO. They agree with that the image of Yeosu city as a site of marine tourism was significantly improved after the EXPO.

• Journal of the Korean Regional Science Association
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• v.36 no.4
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• pp.3-23
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• 2020

This study aims to conceptualize the settlement inclusivity for overcoming social exclusion and the decline in quality of life of older people and to examine its effects on their mental health. The concept of the settlement inclusivity for older people focuses on the immediate environment around the place where they live. We proposed two domains for the conceptual framework; social domain that provides opportunities for community cohesion; spatial domain that provides security of residential area and access to basic services within walking distance. The social domain was represented by participation and interdependence, while the spatial domain by security and accessibility in the settlement inclusivity. Zero-inflated negative binomial regression model was constructed with 2017 National Survey of Older Koreans data to analyze the factors influencing depressive symptoms of older adults. The empirical results demonstrate that increased level of neighborhood network and social participation is associated with a decrease in the number of depressive symptoms. In addition, higher satisfaction in neighborhood environment and good accessibility to public transport/stores are associated with fewer depressive symptoms. Finally, housing condition and home ownership have a moderating effect on the relationship between social network/participation and depressive symptoms level, whereas they have no direct effects on depressive symptoms. This study demonstrates multi-dimensionally and mutually significant associations between settlement inclusivity and depressive symptoms for older people providing implications for urban planning and policies to improve mental well-being of older population.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.193-200
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• 2021

Recently, posts and opinions on tourist attractions are actively shared on social media. These social big data provide meaningful information to identify objective images of tourist destinations recognized by consumers. Therefore, an in-depth understanding of the tourist image is possible by analyzing these big data on tourism. The study is to analyze destination images in Gangwon-do using big data from social media. It is wanted to understand destination images in Gangwon-do using semantic network analysis and then provided suggestions on how to enhance image to secure differentiated competitiveness as a destination for tourists. According to the frequency analysis results, as tourism in Gangwon-do, Sokcho, Gangneung, and Yangyang were mentioned at a high level in that order, and the purpose of travel was restaurant tour, gourmet food, family trip, vacation, and experience. In particular, it was found that they preferred day trips, weekends, and experiences. Four suggestions were made based on the results. First, it is necessary to develop various types of hotels, accommodation facilities and experience-oriented tour packages. Second, it is necessary to develop a day-to-day travel package that utilizes proximity to the Seoul metropolitan area. Third, it is necessary to promote traditional restaurants and local food. Finally, it is necessary to develop tourist package suitable for healing and family travel. Through this research, the destination image of Gangwon-do was identified and a tourism marketing strategy was presented to improve competitiveness. It also provided a theoretical basis for the use of the big data of tourism consumers in the field of tourism business.

• Analyses & Alternatives
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• v.2 no.1
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• pp.5-29
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• 2018

Models of South-North Korean economic integration have the problem of circular reasoning. While many studies argue that South-North Korean economic integration would contribute to alleviate security risks in the Korean peninsular, they emphasize the success of any economic model of inter-Korean economic integration is subject to favorable geo-political and security environment. It is a failure in distinguishing between goals and constraints. After identifying three major goals of South-North Korean economic cooperation, this study shows the trilemma among the goals; they are 1) formation of a complete economic community, 2) maintaining independent sovereignty of the two Koreas, 3) promotion of mutual economic interests. The trilemma suggests that it is theoretically impossible to achieve the above three goals at the same time. Only two goals are achievable simultaneously. This study argues that the most practical option is to pursue the combination of goals 2) and 3) considering the complex political and security environment around the Korean peninsular. Recognizing that North Korea is the least developed country in the Northeast Asia region, South Korea's initiatives for inter-Korean economic cooperation should focus on assisting industrialization and integration of the North Korea economy into the Northeast Asian regional production sharing structure. In view of the 'flying geese model' of the sequential industrialization in the region, the least developed economic status of North Korea can partially be explained by its failure to participate in the production network in the region as well as lack of effective implementation of appropriate industrial policy. Therefore, promotion of industrialization of North Korea should be the immediate goal of economic cooperation between North and South Korea. It is an interesting fact that North Korea has rapidly expanded its apparel exports in recent years. It could mean that the North Korean economy is actively responding to the dynamics of international comparative advantage structure, although the production activities are limited to exports to China since the closure of the Gaesung Industrial Complex. The recent increase in apparel export is a starting point for incorporating the Easy Import Substitution fulfilling both domestic and neighboring regional demand of North Korea. It could help integrate North Korea's industry into the production network of Northeast Asia. An immediate policy implication is that the economic cooperation between the two Koreas should focus on facilitating this process and supporting North Korea's industrial policy through South Korea's contribution of capital, technology, and service intermediary inputs.

• Journal of Korea Water Resources Association
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• v.43 no.1
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• pp.81-94
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• 2010

Input variable selection is one of the various techniques for improving the performance of artificial neural network. In this study, mutual information is applied for input variable selection technique instead of correlation coefficient that is widely used. Among 152 variables of RDAPS (Regional Data Assimilation and Prediction System) output results, input variables for artificial neural network are chosen by computing mutual information between rainfall records and RDAPS' variables. At first the rainfall forecast variable of RDAPS result, namely APCP, is included as input variable and the other input variables are selected according to the rank of mutual information and correlation coefficient. The input variables using mutual information are usually those variables about wind velocity such as D300, U925, etc. Several statistical error estimates show that the result from mutual information is generally more accurate than those from the previous research and correlation coefficient. In addition, the artificial neural network using input variables computed by mutual information can effectively reduce the relative errors corresponding to the high rainfall events.