MATEC Web Conf.
Volume 229, 2018International Conference on Disaster Management (ICDM 2018)
|Number of page(s)||7|
|Section||Understanding Disaster Management|
|Published online||14 November 2018|
Community resilience elements and community risk perception at Banda Aceh province, Aceh, Indonesia
1 Faculty of Defence Studies and Management, National Defence University of Malaysia, 57000 Kuala Lumpur
2 Tsunami and Disaster Mitigation Research Centre Syiah Kuala University, 23233 Banda Aceh, Indonesia
* Corresponding author: email@example.com
Issues related to the community resilience became more popular after the earthquake and Tsunami tragedy in the Indian Ocean and Aceh, Indonesia, 2004. The community resilience is the ability of communities to withstand and mitigate the stress of a disaster, there is less clearness on the detailed resilience-building process. The risk perception is concerns how an individual understands and experiences the phenomenon and believed to affect people’s preparedness for, responses to and recovery from natural disasters. Aims of this study are to identify the relationship between the community resilience elements such as community experience, community exposure, community reaction, community attitude, community knowledge and the community risk perception using survey gathered from 542 samples of Banda Aceh Province community, Aceh, Indonesia. Results found out there is a significant relationship between the community resilience elements such as community experience, community exposure, community reaction, community attitude, community knowledge and the community risk perception. Statistically, results confirm that the implementation of the community resilience elements such as community experience, community exposure, community reaction, community attitude, and community knowledge act as an important determinant of community risk perception towards disasters risk management at Banda Aceh Province community.
© 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.