Browse > Article
http://dx.doi.org/10.5762/KAIS.2020.21.9.238

An Analysis of Flood Damage Influence by Urban Spatial Factors  

Park, Kiyong (Urban and Regional Planning, Michigan State University)
Oh, Hoo (Department of Disaster Prevention Engineering, Chungbuk National University)
Jeon, Won-Sik (Division of Human & Environmental Design)
Lee, Eui Hoon (School of Civil Engineering, Chungbuk National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.9, 2020 , pp. 238-250 More about this Journal
Abstract
This study investigated the long-term measures to minimize flood damage in the event of flooding in urban areas. The relationship between urban spatial factors and the impact of flood damage was analyzed, focusing on non-structural measures. The urban spatial factors were categorized into three parts: open space, disaster prevention facilities, and urbanization sectors. Multiple regression analysis was used to investigate how urban spatial factors influence flood damage. As a result of the analysis, the crucial factors, such as the reduced green areas and parks included in the open space sectors, resulted in an increased flood damage potential. The posterior factors, such as the population density and GRDP included in the urbanization sector concurrently led to an increase in the flood damage potential. Therefore, to better adapt to climate change, it is necessary to establish urban spatial plans strategically, such as green areas and parks. Meanwhile, the population density and GRDP are also the main factors causing flood damage. Therefore, when used appropriately in terms of resilience, it will serve as adaptations and recovery.
Keywords
Urban Spatial Factor; Flood Damage; Urban Flood; Multiple Regression Analysis; Non-Structural Solution;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. E. Lee, S. H. Kim, "New water resource technology paradigm for the water generation", Korea Water Resources Association, Vol. 48, No. 1, pp. 68-75, 2015.   DOI
2 Q. Dihn, S. Balica, I. Popescu, A. Jonoski, "Climate change impact on flood hazard, vulnerability and risk of the Long Xuyen quadrangle in the mekong delta", International Journal of River Basin Management, Vol. 10, pp. 103-120, 2012. DOI: http://dx.doi.org/10.1080/15715124.2012.663383   DOI
3 B. K. Kim, D. W. Jang, N. Jang, D. M. Yang, "Derivation of risk factors for urban floods considering climate change", Crisisonomy, Vol. 7, No. 1, pp. 125-142, 2011.
4 K. Park, J. H. Won, "Analysis on distribution characteristics of building use with risk zone classification based on urban flood risk assessment", International Journal of Disaster Risk Reduction, Vol. 38:101192, pp. 1-10, 2019. DOI: https://doi.org/10.1016/j.ijdrr.2019.101192
5 T. Beatley, "Planning and sustainability: The elements of a new(improved?) paradigm", Joulnal of Planning Literature, Vol. 9, No. 4, pp. 383-395, 1995. DOI: https://doi.org/10.1177/088541229500900405   DOI
6 P. R. Berke, T. Beatley, "After the hurricane: Linking recovery to sustainable development in the caribbean", Disaster Prevention and Management, Vol. 8, No. 5, pp. 370-452, 1999. DOI: https://doi.org/10.1108/dpm.1999.8.5.370.8
7 K. Park, M. H. Lee, "The development and application of the urban flood risk assessment model for reflecting upon urban planning elements", Water, Vol. 11, No. 5, pp. 1-17, 2019. DOI: https://doi.org/10.3390/w11050920
8 S. Y. Shin, H. R. Kim, Analyzing Relationships between Land Use Characteristics and Flood Damage Areas, Seoul Development Institute, Korea, pp. 1-67, 2011.
9 C. Y. Park, S. Y. Shin, E. J. Son, "Classifying flood prone areas in Seoul using multivariate analysis", Korean Society of Hazard Mitigation, Vol. 13, No. 2, pp. 245-255, 2013. DOI: https://doi.org/10.9798/KOSHAM.2013.13.2.245
10 H. J. Lee et al., "A study on model of heavy rain risk prediction using influencing factors of flood damage", Korean Society of Hazard Mitigation, Vol. 16, No. 3, pp. 39-45, 2016. DOI: https://doi.org/10.9798/KOSHAM.2016.16.3.39   DOI
11 J. Foster, A. Lowe, S. Winkelman, The value of green infrastructure for urban climate adaptation, The Center for Clean Air Policy, Washington, DC 20002, 2011, pp. 1-35.
12 J. M. Shepherd, "Evidence of urban-induced precipitation variability in arid climate regimes", Journal of Arid Environments, Vol. 67, pp. 607-628, 2006. DOI: https://doi.org/10.1016/j.jaridenv.2006.03.022   DOI
13 R. C. Balling Jr, S. W. Brazel, "Recent changes in Phoenix, Arizona summertime diurnal precipitation patterns", Theoretical and Applied Climatology, Vol. 38, pp. 50-54, 1987. DOI: https://doi.org/10.1007/BF00866253   DOI
14 T. S. Oh, Y. I. Moon, "Effect analysis of precipitation events according to an urbanization", Korean Society of Civil Engineers, Vol. 30, No. 4, pp. 413-427, 2013.
15 G. Lindsey, G. Knaap, "Willingness to pay for urban green projects". Journal of the American Planning Association, Vol. 65, pp. 297-313, 1999. DOI: https://doi.org/10.1080/01944369908976059   DOI
16 C. Sebald, Towards an integrated flood vulnerability index : A flood vulnerability assessment, Master of Science (MSc), 2010. DOI: https://doi.org/10.13140/RG.2.1.4933.8000
17 R. A. Pielke, M. W. Downton, "Precipitation and damaging floods: trends in the United States, 1932-97". Journal of Climate, Vol. 13, No. 20, pp. 3625-3637, 2000. DOI: https://doi.org/10.1175/1520-0442(2000)013<3625:PADFTI>2.0.CO;2   DOI
18 Y. S. Kim, MRA Revision Model based on CBR for Cost Prediction in Early Stage, Master's thesis, University of Seoul, pp. 1-92, 2010.
19 T. K. Kim, U-can regression analysis, Human and Welfare, 2006, pp. 1-330.
20 W. K. Ko, An analysis of input social sciences data by step of the SPSS, Kyeungmunsa, 2011, pp. 1-461.
21 H. C. Kim, Statistical analysis completed by oneself, Hakjisa, 2013, pp. 1-460.
22 K. Y. Kwak, Business statistics analysis: IBM SPSS statistics, Kyeungmunsa, 2011, pp. 1-555.
23 J. O. Lim, Estimation of Flood Damage Based on Multi-Dimensional Flood Damage Assessment and Multiple Regression Analysis: A Case Study for the PyeongChang River Basin, Master's thesis, Inha University, pp. 1-91, 2019.
24 I. Burton, R. W. Kates, G. F. White. The environment as hazard(2nd ed), New York: The Guilford Press, 1993.
25 D. McEvoy, S. Lindley, J. Handley, "Adaptation and mitigation in urban areas: synergies and conflicts", Proceedings of the Institution of Civil Engineers-Municipal Engineer, Vol. 159, No. 4, pp. 185-191, 2006. DOI: http://dx.doi.org/10.1680/muen.2006.159.4.185   DOI
26 H. S. Hwang, An Index and Evaluation of Vulnerability to Climate Change in Urban Area, Master's thesis, Inha University, pp. 1-72, 2012.
27 S. Y. Shin, C. Y. Park, "Analyzing relationships between land use characteristics and flood damage areas: The case of Seoul", Korea Research Institute for Human Settlements, Vol. 81, pp. 3-20, 2014. DOI: https://doi.org/10.15793/kspr.2014.81.001
28 United Nations Inter-Agency Secretariat, Living with risk; A global review of disaster reduction initiatives, I.S.D.R Editor. UN Publications, Geneva, Switzerland, 2002.
29 B. Norman, “Principles for an intergovernmental agreement for coastal planning and climate change in australia,” Habitat International, Vol. 33, No. 3, pp. 293-299, 2008. DOI: https://doi.org/10.1016/j.habitatint.2008.10.002   DOI
30 IPCC, Climate Change 2007: Impact, adaptation and vulnerability, fourth assessment report, Cambridge: Cambridge University Press, UK, 2007.
31 S. Meerow, J. P. Newell, "Spatial planning for multifunctional green infrastructure: Growing resilience in Detroit", Landscape and Urban Planning, Vol. 159, pp. 62-75, 2017. DOI: https://doi.org/10.1016/j.landurbplan.2016.10.005   DOI
32 K. Hideki, Urban disaster prevention. Tokyo, Japan, 2011.
33 J. E. Kang et al., Urban Renewal Strategy for Adapting to Climate Change: Use of Green Infrastructure on Flood Mitigation, Korea Environment Institute, Korea, pp. 1-206, 2011.