Journal of the Korean Institute of Landscape Architecture (한국조경학회지)

The Korean Institute of Landscape Architecture (한국조경학회)
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Urban Landscape Image Study by Text Mining and Factor Analysis - Focused on Lotte World Tower -

텍스트 마이닝과 인자분석에 의한 도시경관이미지 연구 - 롯데월드타워를 대상으로 -

  • Woo, Kyung-Sook (Graduate School of Landscape Architecture, Kyung Hee University) ;
  • Suh, Joo-Hwan (Dept. of Landscape Architecture, Kyung Hee University)
  • 우경숙 (경희대학교 일반대학원 환경조경학과) ;
  • 서주환 (경희대학교 예술.디자인 환경조경디자인학과)
  • Received : 2017.06.15
  • Accepted : 2017.08.25
  • Published : 2017.08.31
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Abstract

This study compares the results of landscape image analysis using text mining techniques and factor analysis for Lotte World Tower, which is the first atypical skyscraper building in Korea, and identifies landscape images of the site to determine possibilities of use. Lotte World Tower's landscape image has been extracted from text mining analysis focusing on adjectives such as 'new', 'transformational', 'unusual', 'novelty', 'impressive', and 'unique', and phrases such as in the process of change, people's active elements(caliber, outing, project, night view), media(newspaper, blog), and climate(weather, season). As a result of the factor analysis, factors affecting the landscape image of Lotte World Tower were symbolic, aesthetic, and formative. Identification, which is a morphological feature, has characteristics of scale and visibility but it is not statistically significant in preference. Rather, the psychological factors such as the symbolism with characteristics such as poison and specialty, harmony with the characteristics of the surrounding environment, and beautiful aesthetic characteristics were an influence on the landscape image. The common results of the two research methods show that psychological characteristics such as factors that can represent and represent the city affect the landscape image more greatly than the morphological and physical characteristics such as location and location of the building. In addition, the text mining technique can identify nouns and adjectives corresponding to the images that people see and feel, and confirms the relationship between the derived keywords, so that it can focus the process of forming the landscape image and further the image of the city. It would appear to be a suitable method to complement the limitation of landscape research. This study is meaningful in that it confirms the possibility that big data can be utilized in landscape analysis, which is one research field of landscape architecture, and is significant for understanding the information of a big data base and contribute to enlarging the landscape research area.

본 연구는 텍스트 마이닝 기법과 인자분석를 활용하여 경관이미지 분석의 결과를 비교?분석하고, 텍스트 마이닝 기법이 경관이미지 연구에서 활용 가능성이 있는지 확인하고자 하였다. 롯데월드타워의 경관이미지는 텍스트 마이닝 분석 결과, 형용사 '새로운', '변화적인', '특이한', '신기한', '인상적인', '개성적인' 등이 도출되었으며, 롯데월드타워의 경관이미지가 변화하는 과정을 살펴보면, 사람들의 활동적인 요소(구경, 나들이, 프로젝트, 야경 등)와 미디어매체(신문, 블로그 등), 기후(날씨, 계절) 등이 경관이미지를 변화시키는 변동요인으로 도출되었다. 인자분석 결과, 롯데월드타워의 경관이미지에 영향을 미치는 요인은 상징성, 심미성, 조형성 순으로 나타났다. 형태적 특징인 식별성은 규모성, 가시성의 특징을 가지고 있는데, 통계적으로 유의하지 않았다. 오히려 독특성, 특별성 등의 특징을 갖고 있는 상징성과 주변 환경과의 특성과의 조화성, 아름다움의 특징을 갖고 있는 심미성 등 심리적인 요인이 경관이미지에 영향을 미치는 것으로 나타났다. 두 가지 연구방법에서 공통적으로 도출된 결과는 건축물의 장소나 위치 등 형태적 물리적인 특성보다 도시를 대표하고 상징할 수 있는 요소 등 심리적인 특성이 경관이미지에 영향을 미치는 것으로 나타났다. 또한, 텍스트 마이닝 기법은 사람들이 대상을 보고 느낀 이미지에 해당되는 명사 형용사를 파악할 수 있고, 도출된 키워드 간의 관계를 확인함으로써 경관이미지 형성 과정과 더 나아가 도시의 이미지까지 파악이 가능하므로, 조경분야에서 경관연구의 한계를 보완하기 위한 방안으로 적합한 것으로 사료된다. 본 연구는 조경의 연구 분야인 경관분석에서 빅데이터가 활용될 수 있는 가능성을 실제 실행을 통하여 확인하였다는 점에서 의의가 있으며, 추후 빅데이터 기반의 정보를 파악 분석하여 경관 연구 영역의 확대에 기여하기를 바란다.

Keywords

References

  1. Ahn, D. S.(1995) A comparative analysis of images for green spaces. Journal of Korean Institute of Landscape Architecture 23(3): 3155-3166.
  2. Ahn, D. S.(1999) A basic study on the management strategies of touristic site image -Focused on Kwanghallu Garden-. Journal of Korean Institute of Traditional Landscape Architecture 17(1): 69-79.
  3. Ahn, G. B. and J. W. Park(2015) Characteristics of national landscape image in Dokdo Island. Journal of Korean Institute of Traditional Landscape Architecture 33(4): 1-9. https://doi.org/10.14700/KITLA.2015.33.4.001
  4. Byeon, J. S.(2005) Landmark Model to Improve Urban Landscape and Image. Ph.D. Dissertation. University of Seoul National. Korea.
  5. Choi, K. O., K. J. Bang and J. Huh(1997) A study on the visual image assessment of interior landscaping plants. Journal of Korean Institute of Landscape Architecture 25(3): 101-110.
  6. Cho, H. J., K. J. Bang, N. H. Lee and Y. H. Lee(1997) A study on the utilization of interior landscape plant through the investigation of image -Focused on the tall trees-. Journal of Korean Institute of Landscape Architecture 25(3): 210-221.
  7. Eom, B. H. and G. Y. Kim(2013) Comparison of changes over time between in and outside the regional resident's cognition for image of Daegu city -Focused on representative image and environmental image-. Journal of Korean Institute of Landscape Architecture 41 (3): 12-21. https://doi.org/10.9715/KILA.2013.41.3.012
  8. Huh, J.(2001) A comparative analysis on the image of historical landscape -Focused on Mesa Verde National Park-. Journal of Korean Institute of Traditional Landscape Architecture 19(1): 87-95.
  9. Huh, J., K. C. Lee and Y. Kim.(2007) A study for spatial structure and visual image analysis of Baekyangsa-temple. Journal of Korean Institute of Traditional Landscape Architecture 25(4): 76-85.
  10. Huh, J.(2009) A visual image analysis of Byungsan-seowon by an attribute of view. Journal of Korean Institute of Landscape Architecture 37(4): 86-93.
  11. Hong, J. S. and I. K. Oh(2016) Image difference of before and after an incident using social big data analysis: Focusing on a ramp return of "K" airline. Korea Tourism Research Association 30(6): 119-133.
  12. Hu, Y. S.(2017) Lotte World Tower, a great landmark of Seoul. Korea Society of Civil Engineers 65(5): 98-99.
  13. Im, S. B.(1990) Landscape Analysis. Seoul National University Press.
  14. Im, S. B., H. S. Choe and J. S. Byeon(2004) A study on the analysis method of city image: Focusing on the image comparison between cities by MDS. Journal of Korean Institute of Landscape Architecture 32(1): 47-56.
  15. Jung, S. G. and J. Lee(1994) Analysis on the visual preference and image for the fence. Journal of Korean Institute of Landscape Architecture 22(3): 3065-3078.
  16. Joo, S. H. and S. B. Im(2003) A study on the landscape adjectives for urban landscape analysis. Journal of the Korean Institute of Landscape Architecture 31(1): 1-10.
  17. Joo, S. H.(2008) Assessment of contemporary urban parks in Korea -Satisfaction and landscape images-. Journal of Korean Institute of Landscape Architecture 36(4): 36-47.
  18. Jung, G. H.(2010) A Study of Foresight Method Based on Textminig and Complexity Network Analysis. KISTEP.
  19. Jung, C. W. and J. J. Kim(2012) Analysis of trend in construction using textmining method. Journal of Korea Digital Architecture. Interior Association 12(2): 53-60.
  20. Jung, S. G., J. Y. Shin, K. T. Kum and C. H. Choi(2012) Sensibility image and preference analysis of street tree species using 3D simulation -Focused on Tongdaeguro in Daegu Metropolitan City-. Journal of Korean Institute of Landscape Architecture 40(6): 47-59. https://doi.org/10.9715/KILA.2012.40.6.047
  21. Jang, M. J. and J. M. Choi(2014) The implication and recognition of international garden exposition Suncheon bay Korea 2013 on blogs. Journal of Korean Institute of Landscape Architecture 42(4): 60-75. https://doi.org/10.9715/KILA.2014.42.4.060
  22. Kwon, N. A. and S. B. Im(2008) Image and visual preference of the median bus stops -Focusing on Seoul city-. Journal of Korean Institute of Landscape Architecture 36(3): 85-95.
  23. Kim, D. C. and W. Ma(2010) An analysis of the image factor and combination of X'an castle park in China. Journal of Korean Institute of Traditional Landscape Architecture 28(4): 105-111.
  24. Kim, D. C., S. W. Kim and M. R. Kim(2012) A study on the image characteristics of visual perception in Bukchon-streetscape -Focusing on the Samchung-dong 35, Gahoe-dong 31, Gahoe-dong 11-. Journal of Korean Institute of Traditional Landscape Architecture 30(2): 110-118.
  25. Kim, C. J. and S. Y. Lee(2014) Visual image analysis on the types of natural funeral. Journal of Korean Institute of Landscape Architecture 42(1): 75-88. https://doi.org/10.9715/KILA.2014.42.1.075
  26. Kim, J. H.(2016) Structural design of complex-shaped super tall Lotte World Tower. The Architectural Institute of Korea 60(5): 11-15.
  27. Kim, Y. H., G. D. Kim, S. Y. Jun and J. H. Lee(2016) Design and construction of 2nd Lotte World & Lotte World Tower in Jamsil. Korean Society of Civil Engineers 64(2): 74-79.
  28. Kim, M. J. and C. J. Kim(2017) Analyzing architectural history terminologies by text mining and association analysis. Journal of Digital Convergence 15(1): 474-785.
  29. Lee, S. H., Y. I. Kim and J. H. Suh(1998) The image and visual preference for urban setting: Focused on outdoor spaces of urban office buildings. Journal of Korean Institute of Landscape Architecture 26(3): 134-142.
  30. Lee, J. and H. T. Lee(1999) Analysis on the investigation and visual image for the environmental sculptures in Taegu city Journal of Korean Institute of Traditional Landscape Architecture 17(2): 23-34.
  31. Lee, S. Y., W. Y. Oh and S. H. Cho(2002) An analysis on the image and landscape harmonization of urban bridges on Han - River, Seoul, Korea. Journal of Korean Institute of Landscape Architecture 29(6): 11-20.
  32. Lee, J. K.(2004) Empirical Analysis of the Performance of n-Gram Indexing Methods for Korean Text Retrieval. Master's Thesis, University of Chonnam. Korea.
  33. Lee, J.(2005) An analysis on the visual image and harmony of the construction method in the slope scene -A case on the Daejeon-Jinju Highway-. Journal of Korean Institute of Landscape Architecture 33(1): 33-48.
  34. Lee, J. I. and J. S. Sung(2015) A study on the micro discourse about urban parks in blogs - In the Case of the Seoul Forest -. Journal of Korean Institute of Landscape Architecture 43(1): 29-39. https://doi.org/10.9715/KILA.2015.43.1.029
  35. Lee, S. B.(2016) A Semiotic Analysis on the Structure of Meaning and the Emotion of Landscape Image -Focus on the Case of Slow City Joan -. Ph.D. Dissertation. University of Kyunghee. Korea.
  36. Nah, S. S.(1993) Studies on the analysis of super graphic image and preference -With visual design element-. Journal of Korean Institute of Landscape Architecture 20(4): 4054-4075.
  37. News Articles(2016.10.24.) http://isplus.live.joins.com/news/article/article.asp?total_id=20771543&cloc=
  38. News Articles(2015.12.23.)http://news.heraldcorp.com/view.php? ud=20151223000556
  39. Oh, K. Y., M. J. Lee, B. Y. Park, J. H. Lee and J. H. Yoon(2017) Analysis of the research trends by environmental spatial -Information using text- mining technology. Journal of the Korean Association of Geographic Information Studies 20(1): 113-126. https://doi.org/10.11108/kagis.2017.20.1.113
  40. Park, K. M. and K. B. Hwang(2011) A bio-text mining system based on natural language processing. KIISE Transactions on Computing Practices(KTCP) 17(4): 205-213.
  41. Park, S. H. and Y. G. Kim.(2011) The landscape of Seonyoo-do Park captured in one-person media focusing on blogs. Journal of Korean Institute of Landscape Architecture 39(3): 64-73. https://doi.org/10.9715/KILA.2011.39.3.064
  42. Park, J. M., T. W. Eom and H. J. Kim(2012) Study of big data analysis technology trend and activation task. Journal of The Korean Institute of Communication Sciences 29(11): 55-66.
  43. Rho, J. H.(2007) The image and preference comparison between "Opened Landscape" and "Filtered Landscape" -Focused on with and without parallax effect-. Journal of Korean Institute of Landscape Architecture 35(4): 98-106.
  44. Suh, J. H., H. S. Choi and J. W. Cha(2002) An analysis of night and day images of bridges over the han river in Seoul. Journal of Korean Institute of Landscape Architecture 30(5): 31-38.
  45. Suh, J. H., T. H. Park and J. Heo(2004) An analysis on the image and visual preference of the environmental sculpture in urban streetscapes. Journal of Korean Institute of Landscape Architecture 32(1): 57-68.
  46. Suh, J. H., S. B. Kim, J. H. Rho and J. Huh(2009) A comparative analysis on image structures of Jeju "Oreum" between Koreans and foreigners. Journal of Korean Institute of Landscape Architecture 37(1): 65-77.
  47. Shin, J. Y., S. G. Jung, K. T. Kim and W. S. Lee(2011) Evaluation of seasonal landscape images and preference of streetscapes -Focusing on street of prunus species-. Journal of Korean Institute of Landscape Architecture 39(3): 51-63. https://doi.org/10.9715/KILA.2011.39.3.051
  48. Sun, H. Y.(2011) Analysis of Landscape Image and Preferences Factor in Korea Contemporary Architecture: Focused on Seoul City Architectural Awards Winner. Master's Thesis, University of Hanyang. Korea.
  49. Sim, Y. S.(2016) A Study on the Determinants of Destination Image using Text Mining. Master's Thesis, University of Sejong. Korea.
  50. Sim, Y. S. and H. B. Kim(2016) A study of destination image and measurement using text mining. The Tourism Sciences Society of Korea 40(7): 221-245. https://doi.org/10.17086/JTS.2016.40.7.221.245
  51. Seo, J. A.(2016) Analyzing the Destination Image of Daegu from Onine Content through Social Network Anlaysis. Ph.D. Dissertation. University of Keimyung. Korea.
  52. Woo, K. S. and J. H. Suh(2016) A study on the contemporary definition of 'GARDEN' - Keyword analysis used literature research and big data -. Journal of Korean Institute of Landscape Architecture 44(5).
  53. Won, J. Y. and D. G. Kim(2014) Deduction of social risk issues using text mining. Crisisonomy 10(7): 33-52.