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Construction Management

Model for predicting price change patterns in multi-family houses post renovation work in South Korea

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Pages 230-241 | Received 05 Jun 2019, Accepted 18 Jan 2020, Published online: 21 Feb 2020

References

  • Cho, H. H., D. S. Seo, and K. I. Kang. 2002. “Development of Building Construction Cost Forecasting Model Using Artificial Neural Networks.” Journal of the Architectural Institute of Korea Structure & Construction 18 (8): 107–114. http://www.dbpia.co.kr/Article/NODE00365731
  • Cho, J. Y., K. W. Lee, H. S. Yoo, and Y. S. Kim. 2012. “A Study on Vitalizing Plans of Extension Remodeling for Apartment Housings.” Korea Journal of Construction Engineering and Management 13 (4): 33–47. doi:10.6106/KJCEM.2012.13.4.033.
  • Cho, K., J. Kim, and T. Kim. 2019. “Decision Support Method for Estimating Monetary Value of Post-renovation Office Buildings.” Canadian Journal of Civil Engineering online published 46: 1103–1113. doi:10.1139/cjce-2017-0692.
  • Cho, K., and Y. Yoon. 2016. “Decision Support Model for Determining Cost-effective Renovation Time.” Journal of Management in Engineering, ASCE 32 (3): 04015051. doi:10.1061/(ASCE)ME.1943-5479.0000418.
  • Choi, Y. A., and B. H. Song. 2006. “A Study on the Characteristics of the Price Factors in Apartment Houses.” Journal of the Korean Housing Association 18 (2): 75–82. http://www.dbpia.co.kr/Article/NODE00780984
  • Han, J. Y., and D. W. Shin. 2012. “A Study on the Story Increase for Securing the Feasibility of Aged-housing Remodeling.” Korea Journal of Construction Engineering and Management 13 (3): 152–159. doi:10.6106/KJCEM.2012.13.3.152.
  • Hegazy, T., P. Fazio, and O. Moselhi. 1994. “Developing Practical Neural Network Applications Using Back-propagation.” Computer-Aided Civil and Infrastructure Engineering 9 (2): 145–159. doi:10.1111/j.1467-8667.1994.tb00369.x.
  • Jin, R., K. Cho, C. Hyun, and M. Son. 2012. “MRA-based CBR Model for Cost Prediction in the Early Stage of Construction Project.” Expert Systems with Applications 39 (5): 5214–5222. doi:10.1016/j.eswa.2011.11.018.
  • Kim, D. J., Y. J. Choi, and G. Y. Kim. 2010. “A Study on the Agreement Rate Encouraging Restriction Factor or Multi-family Housing Remodeling.” Korea Journal of Construction Engineering and Management 11 (1): 122–129. doi:10.6106/KJCEM.2010.11.1.122.
  • Kim, G.-H. 2004. “Construction Cost Prediction System Based on Artificial Intelligence at the Project Planning Stage.” PhD diss., Korea University.
  • Kim, J., K. Cho, and T. Kim. 2016. “Factors Determining the Price of Remodeled Multi-family Housing.” Korea Journal of Construction Engineering and Management 17 (3): 13–22. doi:10.6106/KJCEM.2016.17.3.013.
  • Kim, J., K. Cho, T. Kim, and Y. Yoon. 2018. “Predicting the Monetary Value of Office Property Post Renovation Work.” Journal of Urban Planning and Development, ASCE 144 (2): 04018007. doi:10.1061/(ASCE)UP.1943-5444.0000434.
  • Kim, K. H., and H. S. Baik. 2015. “Comparative Analysis between RSMeans and Standard Estimating System for Selective Finish Demolition in Remodeling Projects.” Journal of the Architectural Institute of Korea Structure & Construction 31 (3): 73–80. doi:10.5659/JAIK_SC.2015.31.3.73.
  • Kim, W. H., H. S. Cha, D. W. Shin, and K. R. Kim. 2013. “Profit/Cost Prediction Model for Economic Feasibility Assessment on Aged-housing Remodeling Projects.” Journal of the Architectural Institute of Korea Structure & Construction 29 (4): 85–92. http://www.dbpia.co.kr/Article/NODE02148676
  • Korea remodeling association. 2011. The Institutional Improvement Committee Seminar. Seoul: Republic of Korea.
  • Lee, J. B. 2005. “Economic Analysis and Preference Study on Apartments according to Business Method.” Journal of the Architectural Institute of Korea Structure & Construction 21 (8): 137–144. http://www.dbpia.co.kr/Article/NODE00618931
  • Lee, K. S., K. H. Kim., K. R. Kim., and D. W. Shin. 2007. “Profitability Influence Factor Analysis by Apartment Remodeling Case Study.” Korea Journal of Construction Engineering and Management 8 (2): 127–135. http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=JAKO200734515087128
  • Ministry of land, infrastructure and transport. 2016. “Declared Price of Real Estate in Korea Inquiry System.” Accessed January 2016. http://www.realtyprice.kr/notice/
  • Patel, D. A., and K. N. Jha. 2016. “Evaluation of Construction Projects Based on the Safe Work Behavior of Co-employees through a Neural Network Model.” Journal of the Safety Science 89: 240–248. doi:10.1016/j.ssci.2016.06.020.
  • Shenfield, A., D. Day, and A. Ayesh. 2018. “Intelligent Intrusion Detection Systems Using Artificial Neural Networks.” ICT Express 4 (2): 95–99. doi:10.1016/j.icte.2018.04.003.
  • Shim, J. H., C. H. Cho, and S. H. Lee. 2007. “The Industrial Land Price Appraisal Based on Artificial Neural Network.” Journal of the Korea Planning Association 42 (5): 223–232. http://www.dbpia.co.kr/Article/NODE00914539
  • Tserng, H. P., G. F. Lin, L. K. Tsai, and P. C. Chen. 2011. “An Enforced Support Vector Machine Model for Construction Contractor Default Prediction.” Automation in Construction 20 (7): 837–863. doi:10.1016/j.autcon.2011.03.002.
  • Yeon, J. H., H. S. Lee, M. S. Park, S. Y. Kim, and J. S. Ahn. 2014. “Feasibility Study on Remodeling Project by Using Real Option Model: Focusing on Apartment House Remodeling.” Korea Journal of Construction Engineering and Management 15 (1): 39–50. doi:10.6106/KJCEM.2014.15.1.039.
  • Yoon, Y. S., and S. W. Lee. 2012. “Report: System Improvement Plan for Revitalization Remodeling of the Aging Multi-Family Housing.” Construction & Economy Research Institute of Korea(CERIK).
  • Yu, X., C. Ye, and L. Xiang. 2016. “Application of Artificial Neural Network in the Diagnostic System of Osteoporosis.” Neurocomputing 214: 376–381. doi:10.1016/j.neucom.2016.06.023.