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A Data-Driven Roadmapping Framework for Resilient Disaster Management

  • Dilek Cetindamar
  • , Youngjung Geum
  • , Robert Phaal
  • University of Technology Sydney
  • University of Cambridge

Research output: Contribution to journal › Article › peer-review

Abstract

This paper proposes a novel data-driven roadmapping (DD-R) framework to improve stakeholder coordination across disaster management (DM) phases. The framework positions data as a dynamic, unifying element within roadmapping to address fragmentation in traditional DM. The framework is illustrated and tested for its applicability in disaster contexts through analysis of the 2023 Türkiye Earthquake. The case analysis demonstrates the potential of the framework for strengthening stakeholder collaborations that are key to enabling agile resource orchestration, inclusive decision-making, and social innovation. Policymakers and practitioners are encouraged to adopt this integrative approach to strengthen adaptive capacities through integrated data flows, providing a scalable tool for building collaborative resilience. The paper concludes with a summary of the study’s contributions, its limitations, and suggestions for future research.

Original languageEnglish
Pages (from-to)1-24
Number of pages24
JournalJournal of Innovation Management
Volume14
DOIs
StatePublished - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • data-driven planning
  • disaster management
  • resilience
  • roadmap
  • roadmapping
  • stakeholder collaboration
  • Türkiye earthquake

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