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http://dx.doi.org/10.5345/JKIBC.2016.16.5.437

Typhoon Path and Prediction Model Development for Building Damage Ratio Using Multiple Regression Analysis  

Yang, Seong-Pil (School of Architectural Engineering, University of Ulsan)
Son, Kiyoung (School of Architectural Engineering, University of Ulsan)
Lee, Kyoung-Hun (National 119 Headquarters, Ministry of Public Safety and Security)
Kim, Ji-Myong (Construction Science Department, Texas A&M University)
Publication Information
Journal of the Korea Institute of Building Construction / v.16, no.5, 2016 , pp. 437-445 More about this Journal
Abstract
Since typhoon is a critical meteorological disaster, some advanced countries have developed typhoon damage prediction models. However, although South Korea is vulnerable to typhoons, there is still shortage of study in typhoon damage prediction model reflecting the vulnerability of domestic building and features of disaster. Moreover, many studies have been only focused on the characteristics and typhoon and regional characteristics without various influencing factors. Therefore, the objective of this study is to analyze typhoon damage by path and develop to prediction model for building damage ratio by using multiple regression analysis. This study classifies the building damages by typhoon paths to identify influencing factors then the correlation analysis is conducted between building damage ratio and their factors. In addition, a multiple regression analysis is applied to develop a typhoon damage prediction model. Four categories; typhoon information, geography, construction environment, and socio-economy, are used as the independent variables. The results of this study will be used as fundamental material for the typhoon damage prediction model development of South Korea.
Keywords
typhoon; multiple regression analysis; building damage ratio; risk assessment;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 Climate Change 2014: synthesis report [Internet]. Switzerland: Intergovernmental Panel on Climate Change. 1990 - [cited 2014 Nov 1]. Available from: www.ipcc.ch.
2 National Disaster Administration [Internet]. Korea: Ministry of Public Safety and Security. 2003 - [cited 2015 May 3]. Available from: www.mpss.go.kr.
3 Han DW. Disaster Relief System in Korea: Problems and Tasks. Korean Review of Crsis & Emergency Management. 2006 Dec;12(2):36-51.
4 Moon JI, Lee SH. A case Study on the Typology of Temporary Housing According to Disasters. Journal of the Architectural Institute of Korea Planning & Design, Korea. 2006 Sep;22(9):141-8.
5 Shin SI. A study on Disaster Mental Health Social Work in Korea. Mental Health & Social work, Korea. 2000 Oct;10:61-83.
6 Park JG, Jeong WS, Kim JS, Kim EB. Scale typhoon damage analysis and trend analysis of typhoon forecasting models. Proceedings of the Korean Environmental Sciences Society Conference. 2012 Feb;21(1):38-40.
7 Park JG, Jeong WS, Kim EB, Kim JS. A Study on possible regional disaster prediction for the accompanying high winds in the storm. Asia-Pacific Journal of Atmospheric Science. 2011 Oct;10(1):306-7.
8 Ku HY, Lee SS, Lee YK, Kim HS. Statistical Model and Characteristics of Typhoon-Induced Rainfall around Korean Peninsular. Journal of Industrial Science Technology and Institute. 2007 Dec;21(2):85-95.
9 Shin HJ, Lee WJ, Byun GY, Kim JY, Jang KH, Lee JH. Hurricane path prediction models predict the performance evaluation considering the traveling speed and direction. Asia-Pacific Journal of Atmospheric Science. 2013 Dec;2013(10):372-3.
10 Chun JY, Lee KH, Kim JM, Kim DS. Inundation Analysis on Coastal Zone around Masan Bay by Typhoon Maemi(No. 0314). Journal of Ocean Engineering and Technology. 2008 Jun;22(3):8-17.
11 Lee YK, Lee SS, Kim HS. Expectation of Extreme Wind Speed due to Typhoon. Proceedings of WEIK Symposium. 2007 May;2007(10):20-6.
12 Jung WS, Park JG, Choi HJ. An Estimation of Amount of Damage Using the 3-second Gust When the Typhoon Attack. Journal of Environmental Science International, Korea. 2010 Jan;19 (3):353-63.   DOI
13 Shim JH, Kim JE. An Analysis on the Interrelationship between Land-use Characteristics and Damages caused by Natural Hazards. Journal of academia-industrial technology. 2012 Sep;13(9):4319-25.
14 Kim GY, Kim SW. Developing The Evaluation Approach for Flood-Disaster Safety of Korean Local Governments Using a Multi-Criteria Decision-Making Process. The Korean Regional Development Association. 2010 Jun;2010(6):33-44.
15 Jung YK, Chang BS, Shin CG, Lee YH, Park SK. The study of Cut-slop failure characteristics caused by typhoon MAEMI. Geotechnical Engineering, Korea. 2004 Mar;2004(0):643-50.
16 Burton C. Social Vulnerability and Hurricane Impact Modeling. Natural Hazards Review. 2011 May;11(2):58-68.   DOI
17 Park JG, Kim BS, Jung WS, Kim EB, Lee DG. Change n Statistical Characteristics of Typhoon Affecting the Korean Peninsula. Asia-Pacific Journal of Atmospheric Science. 2006 Mar;16(1): 1-17.
18 Kwon SH, Kim JH, Park HS, Chung GH. Snow Damage Estimation of Gangwon Province damages using Regression Analysis. Journal of Korean Society of Hazard Mitigation. 2016 Apr;16(2):437-43.   DOI
19 Lee J, Yoon CR, Y YM. A Study on Geographical Analysis of Natural Disaster and Disaster Risk Management in Vietnam on Viewpoint of International Cooperation. The Geographical Journal of Korea. 2011 Jun;45(2):265-78.
20 Toya H, Skidomore M. Economic development and the impacts of natural disasters. Economics letters. 2007 Sept;94(1):20-5.   DOI