التفاصيل البيبلوغرافية
| العنوان: |
Multi-Dimensional Flood Vulnerability Assessment Using Data Envelopment Analysis. |
| المؤلفون: |
Zahid, Zalina1 zalina@tmsk.uitm.edu.my, Saharizan, Nurul Syuhada1 syuhadasaharizan90@gmail.com, Hamzah, Paezah1 paezah@tmsk.uitm.edu.my, Hussin, Siti Aida Sheikh1 sitiaida@tmsk.uitm.edu.my, Khairi, Siti Shaliza Mohd1 shalizakhairi@tmsk.uitm.edu.my |
| المصدر: |
AIP Conference Proceedings. 2017, Vol. 1905 Issue 1, p1-6. 6p. 2 Diagrams, 5 Charts. |
| مصطلحات موضوعية: |
*FLOOD risk, *DATA envelopment analysis, *BIOPHYSICAL economics, *GEOGRAPHIC information systems, *MODIS (Spectroradiometer) |
| مستخلص: |
Malaysia has been greatly impacted by flood during monsoon seasons. Even though flood prone areas are well identified, assessment on the vulnerability of the disaster is lacking. Assessment of flood vulnerability, defined as the potential for loss when a disaster occurs, is addressed in this paper. The focus is on the development of flood vulnerability measurement in 11 states in Peninsular Malaysia using a non-parametric approach of Data Envelopment Analysis. Scores for three dimensions of flood vulnerability (Population Vulnerability, Social Vulnerability and Biophysical) were calculated using secondary data of selected input and output variables across an 11-year period from 2004 to 2014. The results showed that Johor and Pahang were the most vulnerable to flood in terms of Population Vulnerability, followed by Kelantan, the most vulnerable to flood in terms of Social Vulnerability and Kedah, Pahang and Terengganu were the most vulnerable to flood in terms of Biophysical Vulnerability among the eleven states. The results also showed that the state of Johor, Pahang and Kelantan to be most vulnerable across the three dimensions. Flood vulnerability assessment is important as it provides invaluable information that will allow the authority to identify and develop plans for flood mitigation and to reduce the vulnerability of flood at the affected regions. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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