Quantitative text analysis of Sendai framework for disaster risk reduction 2015–2030

Osamu Murao, Hiroko Sakaba

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)

    Abstract

    Three UN world conferences held on reducing disaster damage – the 1994World Conference on Natural Disaster Reduction held in Yokohama during the International Decade for Natural Disaster Reduction, the 2005World Conference on Disaster Reduction held in Hyogo Prefecture, and the 2015 World Conference on Disaster Risk Reduction held in Sendai – resulted in the Yokohama Strategy and Plan of Action for a Safer World, the Hyogo Framework for Action 2005-2015 (HFA), and the Sendai Framework for Disaster Risk Reduction 2015-2030. The sections that follow clarify Sendai Framework features compared to the Yokohama Strategy and the HFA based on a three-stage review of the literature: (1) Overviews of the three documents, including framework structures, are arranged with basic conference information and a comparative study. (2) A quantitative text analysis is conducted using the KH Coder, which is free quantitative text analysis software. Words occurring frequently in the documents are extracted and compared and a cooccurrence network is analyzed to determine relationships among these words. (3) Features of the three documents, mainly focusing on the Sendai Framework, are specified and clarified based on the result of quantitative text analysis.

    Original languageEnglish
    Pages (from-to)459-469
    Number of pages11
    JournalJournal of Disaster Research
    Volume11
    Issue number3
    DOIs
    Publication statusPublished - 2016

    Keywords

    • Hyogo framework for action 2000-2015
    • IDNDR
    • ISDR
    • KH Coder
    • Yokohama strategy

    ASJC Scopus subject areas

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

    Fingerprint

    Dive into the research topics of 'Quantitative text analysis of Sendai framework for disaster risk reduction 2015–2030'. Together they form a unique fingerprint.

    Cite this