Eliciting social themes of flood mitigation and community engagement studies through text mining

Temitope Egbelakin, Temitope Omotayo*, Olabode Emmanuel Ogunmakinde, Damilola Ekundayo

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (SciVal)


    Purpose: Flood preparedness and response from the perspective of community engagement mechanisms have been studied in scholarly articles. However, the differences in flood mitigation may expose social and behavioural challenges to learn from. This study aimed to demonstrate how text mining can be applied in prioritising existing contexts in community based and government flood mitigation and management strategies. Design/Methodology/Approach: This investigation mined the semantics researchers ascribed to flood disasters and community responses from 2001 to 2022 peer-reviewed publications. Text mining was used to derive frequently used terms from over 15 publications in the Scopus database and Google Scholar search engine after an initial output of 268 peer-reviewed publications. The text mining process applied the topic modelling analyses on the 15 publications using the R studio application. Findings: Topic modelling applied through text mining clustered four (4) themes. The themes that emerged from the topic modelling process were building adaptation to flooding; climate change and resilient communities; urban infrastructure and community preparedness; and Research output for flood risk and community response. The themes were supported with geographical flood risk and community mitigation contexts from the US, India and Nigeria to provide a broader perspective. Originality/value: This study exposed the deficiency of ?communication, teamwork, responsibility and lessons? as focal themes of flood disaster management and response research. The divergence of flood mitigation in developing nations as compared with developed nations can be bridged through improved government policies, technologies and community engagement.
    Original languageEnglish
    JournalInternational Journal of Building Pathology and Adaptation
    Publication statusPublished (VoR) - 18 Sept 2023


    • Climate change
    • Community Engagement
    • Disaster resilience
    • Flood
    • Text mining


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