Issue |
MATEC Web Conf.
Volume 229, 2018
International Conference on Disaster Management (ICDM 2018)
|
|
---|---|---|
Article Number | 01010 | |
Number of page(s) | 4 | |
Section | Understanding Disaster Management | |
DOI | https://doi.org/10.1051/matecconf/201822901010 | |
Published online | 14 November 2018 |
Key performance indicators of disaster preparedness: a case study of a tsunami disaster
1 Universitas Andalas, Industrial Engineering Department, 25163 Padang, Indonesia
2 Prince of Songkla University, Industrial Engineering Department, 92110 Hatyai, Thailand
* Corresponding author: rpatrisina@ft.unand.ac.id
Disaster impacts on human life not only in economic sector but also social, culture, and environment. In order to minimize the disaster risk, it is expected all elements who exposed to the forthcoming disaster make a good disaster preparedness then they will be resilience toward the disaster. Since individual as one of disaster stakeholder who will face a disaster directly, it is expected that they will participate actively in disaster reduction efforts. This study is aimed to design key performance indicators for measuring the disaster preparedness level of an individual. Using the Delphi method, it is obtained 14 indicators of three critical factors identified. The preparedness level of an individual against a disaster is plotted in 2-dimension matrix (awareness & attitude versus actions taken). The indicators are designed for assessing disaster preparedness of people who live in a tsunami disaster prone area. The indicators can be used by the government to assess the preparedness level of their citizens. Moreover, the indicators will be helpful for government in developing disaster preparedness program to improve people resilience against disaster.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.