Statistical analysis of the relationship between social capital and evacuation: The case of the 2017 mt. agung eruption

Michimasa Matsumoto, Miwa Kuri, Kazuya Sugiyasu, Yasuhito Jibiki, Ni Nengah Suartini, I. Made Budiana

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This study aimed to examine actual situations and problems involving evacuation activity during the Mt. Agung eruption in the autumn and winter of 2017. It also clarified (from the viewpoints of administrative information, individuals, families, local residence organizations, and simple notification services) the factors that promoted evacuation based on an examination of data from evacuees and supporters as provided by administrative agencies, questionnaires, and surveys. There were two main results. The first involved the relationship between alert recognition and recognition of the call for evacuation. When people received the volcanic eruption alert from real media sources, they also recognized the call for evacuation from other people or parties within those sources. When people received the alert through virtual media, they also recognized the call for evacuation from the same media. The information recognition path available through real media was narrower than that involving virtual media. Second, only the factor of “alert recognition” realized “group evacuation.” Factors such as “prior action” and “recognition of eruption in 1963” were not directly related to “group evacuation.”.

Original languageEnglish
Pages (from-to)1096-1112
Number of pages17
JournalJournal of Disaster Research
Volume13
Issue number6
DOIs
Publication statusPublished - 2018 Nov

Keywords

  • Banjar
  • Evacuation
  • Indonesia
  • Social capital
  • Volcano

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Engineering (miscellaneous)

Fingerprint Dive into the research topics of 'Statistical analysis of the relationship between social capital and evacuation: The case of the 2017 mt. agung eruption'. Together they form a unique fingerprint.

Cite this