A Bayesian Network-Based Integrated for Flood Risk Assessment (InFRA)

Hongjun Joo, Changhyun Choi, Jungwook Kim, Deokhwan Kim, Soojun Kim and Hung Soo Kim
Additional contact information
Hongjun Joo: Department of Civil Engineering, Inha University, Incheon 22212, Korea
Changhyun Choi: Department of Civil Engineering, Inha University, Incheon 22212, Korea
Jungwook Kim: Department of Civil Engineering, Inha University, Incheon 22212, Korea
Deokhwan Kim: Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology, Ilsan 10223, Korea
Soojun Kim: Department of Civil Engineering, Inha University, Incheon 22212, Korea
Hung Soo Kim: Department of Civil Engineering, Inha University, Incheon 22212, Korea

Sustainability, 2019, vol. 11, issue 13, 1-15

Abstract: Floods are natural disasters that should be considered a top priority in disaster management, and various methods have been developed to evaluate the risks. However, each method has different results and may confuse decision-makers in disaster management. In this study, a flood risk assessment method is proposed to integrate various methods to overcome these problems. Using factor analysis and principal component analysis (PCA), the leading indicators that affect flood damage were selected and weighted using three methods: the analytic hierarchy process (AHP), constant sum scale (CSS), and entropy. However, each method has flaws due to inconsistent weights. Therefore, a Bayesian network was used to present the integrated weights that reflect the characteristics of each method. Moreover, a relationship is proposed between the elements and the indicators based on the weights called the Integrated Index for Flood Risk Assessment (InFRA). InFRA and other assessment methods were compared by receiver operating characteristics (ROC)-area under curve (AUC) analysis. As a result, InFRA showed better applicability since InFRA was 0.67 and other methods were less than 0.5.

Keywords: flood risk; Bayesian networks; integrated index for flood risk assessment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/13/3733/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/13/3733/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:13:p:3733-:d:246683

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().