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http://dx.doi.org/10.7851/ksrp.2021.27.3.103

Rural Tourism Image and Major Activity Space in Gochang County Shown in Social Data - Focusing on the Keyword 'Gochang-gun Travel' -  

Kim, Young-Jin (Interdisciplinary Program in Landscape Architecture, Seoul National University)
Son, Gwangryul (Interdisciplinary Program in Landscape Architecture, Seoul National University)
Lee, Dongchae (Graduate school of Environmental Studies, Seoul National University)
Son, Yong-hoon (Graduate school of Environmental Studies, Seoul National University)
Publication Information
Journal of Korean Society of Rural Planning / v.27, no.3, 2021 , pp. 103-116 More about this Journal
Abstract
In this study, the characteristics of rural tourism image perceived by urban residents were analyzed through text analysis of blog data. In order to examine the images related to rural tourism, blog data written with the keyword "Gochang-gun travel" was used. LDA topic analysis, one of the text mining techniques, was used for the analysis. In the tourism image of Gochang-gun, 9 topics were derived, and 112 major places appeared. This was divided into 3 main activities and 5 object spaces through the review of keywords and the original text of blog data. As a result of the analysis, the traditional main resources of the region, Seonun mountain, Seonun temple, and Gochang-eup fortress, formed topic. On the other hand, world heritage such as dolmen and Ungok wetland did not appear as topic. In particular, the farms operated by the private sector form individual topics, and the theme farm can be seen as an important resource for tourism in Gochang-gun. Also, through the distribution of place keywords, it was possible to understand the characteristics of travel by region and the usage behavior of visitors. In the case of Gochang-gun, there was a phenomenon in which visitors were biased by region. This seems to be the result of Gochang-gun seeking to vitalize local tourism focusing on natural, ecological, and scenic resources. It is necessary to establish a plan for balanced regional development and develop other types of tourism resources. This study is different in that it identified the types and characteristics of rural tourism images in the region perceived by visitors, and the status of tourism at the regional level.
Keywords
Ruralism; Rural Tourism; Topic Modeling; Text Mining; Rural Image; Rural Landscape;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 MAFRA(2014). Performance Analysis of Rural Center Development and Maintenance Projects and Future Strategy.
2 Kim, D.,(1989). A Contexual Understanding on the Recent Changes in the Rural Landscape of Korea: with Special Reference to 'Saemaul' Movement. Journal of Cultural and Historical Geography, 1, 23-38.
3 Kim, J., & Gim, U.(2013). Review and Proposal of Central place Improvement Project in Basic Settlement Area-Centered on Comprehensive Improvement Project of the Seat of Eup(Dong)Myon, JKRDA, 25(4), 133-152.
4 Kim, Y., & Son, Y.(2018). Features of the Rural Revitalization Projects in Jang-su County Using LDA Topic Analysis of News Data: Focused on Keyword of Tourism and Livelihood, KSRP, 24(4), 69-80.
5 Lucas, C., Nielsen, R. A., Roberts, M. E., Stewart, B. M., Storer, A., & Tingley, D.(2015). Computer-assisted text analysis for comparative politics. Political Analysis, 23(2), 254-277.   DOI
6 Sibella Kraus.(2006). A Call for New Ruralism. Frameworks.
7 Lee, S., & Son, Y.(2018). Identifying Landscape Perceptions of Visitors' to the Taean Coast National Park Using Social Media Data: Focused on Kkotji Beach, Sinduri Coastal Sand Dune, and Manlipo Beach. Journal of the Korean Institute of Landscape Architecture, 46(5), 10-21.   DOI
8 MAFRA(2016). A New Approach to Rural Development.
9 Kim, K., & Lee, S.(2004). A Study on the Change Process and Characteristics of the Development Policy in Rural Area. Journal of the Korean Institute of Rural Architecture, 6(3), 1-14.
10 RDA(2013). Conservation of Traditional Landscape in Rural Area: Guideline.
11 Kim, Y., & Son, Y.(2017). The Residents' Perceptions on the Revitalization Project of Rural Centers Utilizing IPA: The Case of Janggye-myeon of Jangsu-gun, KSRP, 23(3), 133-145.
12 Son, Y., & Kim, Y.(2019). The Image of Ruralism in Korea through a Text Mining for Online News Media analysis. KSRP, 25(4), 13-26.
13 Viviers, J., Cornelius, S.G. & Cilliers, E.J(2017). Considering New Urbanism, New Ruralism and Green Urbanism in Response to Multifunctionality: The Case of Verkykerskop, South Africa. WIT Transactions on Ecology and the Environment. 223, 73-87.
14 David Moffat.(2006). New Ruralism: agriculture at the Metropolitan Edge. Places. 18(2). 72-75.
15 Berkel, B. & Verburg, H.(2014). Spatial quantification and valuation of cultural ecosystem services in anagricultural landscape, Ecological Indicators. Ecological Indicator, 37, 163 - 174.   DOI
16 Kim, J., & Baek, S.(2016). Analysis of Issues on the College and University Structural Reform Evaluation Using Text Big Data Analytics, Asian Journal of Education, 17(3), 409-436.   DOI
17 Lee, D., Ok, J., Hong, k., Youn, S., Park, C., & Yoo, H.(2005). A study on assessment and classification about rural landscape resources: Centered on comprehensive development project of rural village, KSRP, 11(2), 21-34.
18 Carlow, VM(ed.).(2017). Ruralism: The Future of Villages and Small Towns in an Urbanizing World. Berlin: Jovis.
19 Chandra, Y., Jiang, L. C., & Wang, C.(2016). Mining social entrepreneurship strategies using topic modeling. PLoS ONE, 11(3), 1-28.
20 Kim, S., Choi, Y., & Yoon, H.(2019). The Analysis of the Visitors' Experiences in Yeonnam-dong before and after the Gyeongui Line Park Project: A Text Mining Approach. Journal of the Korean Institute of Landscape Architecture, 47(4), 33-49.   DOI
21 KTO(2021a). Data Lab, Retrieved August 24, 2021, from https://korean.visitkorea.or.kr/
22 RDA(2005). Rural Landscape Management Guidelines for Amenity Creation.
23 KTO(2021b). Visit Korea, Retrieved August 24, 2021, from https://datalab.visitkorea.or.kr/
24 Lee, J.(2013). A Study on the Micro-Discourse about Seoul Forest in Personal Media: Focused on Sense of Place. Master's Thesis, Seoun National University. Korea.
25 Newman, G. & Saginor, J.(2016). Priorities for Advancing the Concept of New Ruralism. Sustainability, 8(3), 269.   DOI
26 Shin, M., & Shin, J.(2015). A Study on Evaluation of the Rurality by the Distance of View. KSRP, 21(2), 63-77.
27 RRI(2018). A Study on the Development and Application of the Technology Elements for Residential Environment in Rural Area.
28 Son, J., Lee, Y., & Ryu, S.(2019). A Study on Intermediary Support Organization for Green Tourism Activation: Focus on Pyeong-Chang County. Tourism Research, 44(3), 107-125.   DOI
29 Lee, J., Jeong, Y., & Im, S.(2006). A Study on the Assessment of Rurality Characteristics in Rural Amenity Resources. Journal of the Korean Society of Rural Planning, 12(2), 1-9.
30 Son, E., Park, B., & Yoon, J.(2014). The Economic Impact Analysis of Rural Tourism Development Projects. Journal of Agricultural Extension & Community Development, 21(3), 155-179.   DOI
31 Binkley, D., Heinz, D., Lawrie, D., & Overfelt, J.(2014). Understanding LDA in source code analysis. In Proceedings of the 22nd Int'l Conf. on Program Comprehension, ACM. 26-36.
32 Son, Y., Lee, C. & Saito, Y.(2014). Research Paper: Landscape Changes in Suburban Villages Resulting from Plant Locations. Journal of Korean Society of Rural Planning, 20(1), 13-26.   DOI
33 Steyvers, M., & Griffths, T.(2007). Probabilistic topic models. In Landauer, T. K., McNamara, D. S., Dennis, S. & Kintsch, W.(Eds.), Latent Semantic Analysis: A Road to Meaning. (427-448). Mahwah, NJ, US: Lawrence Erbaum Associates Publishers.
34 Wiedemann, G.(2013). Opening up to big data: computer-assisted analysis of textual data in social science. Forum Qualitative Social Research, 14(2), Art.
35 Asuncion, A., Welling, M., Smyth, P., & Teh, Y. W. (2009). On smoothing and inference for topic models. In Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, AUAI Press. 27-34.
36 Azadi, H., Veronique, V., Acker, V., Zarafshani, K. & Witlox, F.(2012). Food systems: new-ruralism versus new-urbanism. J. Sci. Food Agric. 92, 2224-2226.   DOI
37 Baek, Y.(2017). Text-mining Using R, Hanul Academy.
38 Blei, D. M.(2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84.   DOI
39 Battisti, F. D., Ferrara, A., & Salini, S.(2015). A decade of research in statistics: a topic model approach. Scientometrics, 103, 413-433.   DOI
40 Blei, D.(2011). Introduction to probabilistic topic models. Communications of the ACM, 77-84.
41 Blei, D., & Jordan, M.(2003). Modeling annotated data. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval, ACM. 127-134.
42 Brauer, R. & Dymitrow, M.(2014). Quality of Life in Rural Areas: A Topic for the Rural Development Policy?. Bulletin of Geography. Socio-economic Series, 25, 25-54.   DOI
43 Ding, W., & Chen, C. (2014). Dynamic topic detection and tracking: A comparison of HDP, C-word, and cocitation methods. Journal of the Association for Information Science and Technology, 65(10), 2084-2097.   DOI
44 Han, J., & Kamber, M.(2011). Data Mining: Concepts and Techniques, 3rd ed, Morgan Kaufmann Publishers.
45 Gochang-gun(2021). Gochang-gun Culture Tour, Retrieved August 24, 2021, from https://www.gochang. go.kr/tour
46 Grant, S., Cordy, J. R., & Skillicorn, D. B. (2013). Using heuristics to estimate an appropriate number of latent topics in source code analysis. Science of Computer Programming, 78(9), 1663-1678.   DOI
47 Griffiths, T. L., & Steyvers, M.(2004). Finding scientific topics. Proceedings of the National academy of Sciences, 101(1), 5228-5235.   DOI
48 Jeollabuk-do(2021). Jeollabuk-do Total Tour, Retrieved August 24, 2021, from https://tour.jb.go.kr/
49 Jeong, H., & Jung, N.(2010). Research on a Modification of Rural Amenity Landscape Survey Table: Centered on 2008 Rural Amenity Selection 100, KSRP, 16(4), 171-178.
50 Karl, A., Wisnowski, J., & Rushing, W. H.(2015). A practical guide to text mining with topic extraction. Wiley Interdisciplinary Reviews: Computational Statistics, 7(5), 326-340.   DOI