Issue |
E3S Web Conf.
Volume 156, 2020
4th International Conference on Earthquake Engineering & Disaster Mitigation (ICEEDM 2019)
|
|
---|---|---|
Article Number | 01011 | |
Number of page(s) | 6 | |
Section | Disaster | |
DOI | https://doi.org/10.1051/e3sconf/202015601011 | |
Published online | 13 March 2020 |
Toward a community resilience framework for disaster risk management. a case study: landslide Cisolok in Sukabumi 2018 and Sunda strait tsunami in Pandeglang 2018
1 Department of Geography, University of Indonesia, 16424 Depok, Indonesia
2 Indonesian Disaster Expert Association (IABI), 16180 Bogor, Indonesia
* Corresponding author: hafid.setiadi@ui.ac.id
Along with the increase in large and medium-scale disasters in the world, including in Indonesia, in the last decade, many theories and practices have developed in terms of measuring and improving disaster resilience. This study discusses the conceptual model of community-level disaster resilience and disaster risk reduction. Using a basic conceptual model for spatial protection to geological hazard, research examines the role of community resilience in reducing risk by using social dimensions. To explore the conceptual model of spatial resilience at the community scale, case studies conducted in two disaster events, are (1) communities affected by landslides in Cisolok, Sukabumi District on 31 December, 2018 and (2) Sunda Strait tsunami in Pandeglang tourism area on 22 December, 2018. Research suggests that the importance of social capital in terms of forming community resilience is related to disaster risk reduction. Social network, social experience, social knowledge and belief systems, contribute to increasing resilience and disaster risk reduction. The results of this study are the importance of building social capital and spatial resilience of communities in reducing disaster risk.
© The Authors, published by EDP Sciences, 2020
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.