A Study of People-Centered Early Warning System in the Face of Near-Field Tsunami Risk for Indonesian Coastal Cities

Harkunti P Rahayu, Louise Comfort, Richard Haigh, Dilanthi Amaratunga, Devina Khoirunnisa

Research output: Contribution to journalArticle


This study aims to identify the gaps in current policy and propose a viable framework for policy improvement regarding people-centered tsunami early warning chain in Padang City. The objectives are: (1) to describe the gaps and flaws in the current policy regarding local tsunami early warning chain, (2) to identify potential actors to be involved in the tsunami early warning chain, and (3) to assess the roles and capacity of the actors, and their potential for involvement in early warning.

This study is an exploratory study using Social Network Analysis (SNA) on regulations and other legal documents, and primary data sources from a Focus Group Discussion (FGD) and semi-structured interviews.

The study found that the existed regulation lacks extension nodes to relay warnings to the last mile populations at risk, often referred to as 'the last mile'. Moreover, receiving warning information from both formal and informal sources is important to mobilize mobilise people evacuation more effectively during an emergency. The study found that mosque communities and disaster preparedness leaders are the potential actors who should be involved in the local early warning chain.

The research findings were presented as a recommendation to Padang City government and have been legalised as the new tsunami early warning chain procedure in the Padang City Mayor Regulation 19/2018.

This research investigated local tsunami early warning dissemination in Padang City using Social Network Analysis (SNA). The study demonstrates a close collaborations between researchers, practitioners, and community.
Original languageEnglish
Number of pages22
JournalInternational Journal of Disaster Resilience in the Built Environment
Early online date16 Jan 2020
Publication statusE-pub ahead of print - 16 Jan 2020


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