Evaluation of the Urban Regeneration Project: Land Use Transformation and SNS Big Data Analysis

Urban regeneration projects have been actively promoted in Korea. In particular, Jeonju Hanok Village is evaluated as one of representative cases in terms of utilizing local cultural heritage sits in the urban regeneration project. However, recently, there has been a growing concern in this area, due to the ‘gentrification’, caused by the excessive commercialization and surging tourists. This trend was changing land and building use and resulted in the loss of identity of the region. In this regard, this study analyzed the land use transformation between 2010 and 2016 to identify the commercialization trend in Jeonju Hanok Village. In addition, it conducted SNS big data analysis on Jeonju Hanok Village from February 14th, 2016 to March 31st, 2016 to identify visitors’ awareness of the village. The study results demonstrate that rapid commercialization was underway, unlikely the initial intention, so that planners and officials in city government should reconsider the project direction and rebuild deliberate management strategies. This study is meaningful in that it analyzed the land use transformation and SNS big data to identify the current situation in urban regeneration area. Furthermore, it is expected that the study results will contribute to the vitalization of regeneration area.

• Ju-Young Kim
• Tae-Heon Moon
• Jung-Hun Cho

• Land use
• SNS
• text mining
• urban regeneration.

[1] B. U. Mun, A Study on the Characteristics of Land Use Changes of the Surrounding Areas Due to the Activation of Traditional Residential Areas -Focused on the Jeonju Hanok Village-, Master Thesis, the University of Chonbuk, Korea, 2016.
[2] E. Kontopoulos, C. Berberidis, T. Dergiades, and N. Bassiliades, “Ontology-based sentiment analysis of twitter posts,” Expert Systems with Applications Journal, vol.40, 2013, pp. 4065-4074.
[3] J. Y. Choi, D. H. Kim, “A study about Land value of neighborhood influenced by Development of Old Downtown -the part of Jeonju Hanok Village-,” Journal of The Korea institute of Electronics Communication Science, vol. 6, no. 1, 2013, pp. 127-133
[4] Y. Liu, X. Huang, A. An, and X. Yu, “ARSA: A sentiment-aware model for predicting sales performance using blogs,” In Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval. Amsterdam, The Netherlands. July 2007, pp. 607–614.
[5] A. Moreo, M. Romero, J. L. Castro, and J. M. Zurita, “Lexicon-based comments-oriented news sentiment analyzer system,” Expert Systems with Applications, vol. 39, no. 10, 2012, pp. 9166–9180.
[6] M. Taboada, J. Brooke, M. Tofiloski, K. Voll, and M. Stede, “Lexicon-based methods for sentiment analysis,” Computational Linguistics, Vol. 37, No. 2, 2011, pp. 267–307.
[7] Korea National Spatial Data Intrastructure Portal official website, March 2016, retrieved from http://www.nsdi.go.kr/
[8] D. H. Lim, Big data analysis Using R. 2015, pp. 1-334.