Open AccessCoastal buildings and infrastructure flood risk analysis using multi‐attribute decision‐making
Author(s) -
Mojtahedi S.M.H.,
Oo B.L.
Publication year - 2016
Publication title -
journal of flood risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.049
H-Index - 36
ISSN - 1753-318X
DOI - 10.1111/jfr3.12120
Subject(s) - flood myth , hazard , resilience (materials science) , flood mitigation , vulnerability (computing) , community resilience , environmental planning , environmental resource management , natural disaster , built environment , natural hazard , ranking (information retrieval) , government (linguistics) , rank (graph theory) , business , computer science , geography , environmental science , civil engineering , engineering , computer security , resource (disambiguation) , meteorology , philosophy , mathematics , computer network , linguistics , chemistry , archaeology , machine learning , thermodynamics , physics , organic chemistry , combinatorics
Although a few natural hazard mitigation policies and techniques exist to provide resilience to built environmental Australian communities, few empirical studies have been conducted to develop tools that measure the vulnerability of states and territories to flood disasters. This paper proposes an approach to analyse and rank the vulnerabilities of A ustralian states and territories, in terms of their coastal buildings and transport infrastructures, to flood disasters by considering socio‐economic and built environment attributes independently and simultaneously, using a multi‐attribute decision‐making tool. The results show remarkable changes occurring in ranking states and territories when both socio‐economic and the built environment attributes were considered simultaneously. Q ueensland is the most vulnerable state in A ustralia based on socio‐economic exposure analysis, but it ranks second, followed by W estern A ustralia, based on the built environment exposure analysis. These results would assist government and other institutes to prepare high‐level natural hazard mitigation planning.