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Case Analysis of Data-Based Administration in Local Governments: Focusing on the Influencing Factors of Disaster Safety Data Management and Utilization by Type

  • Analyses & Alternatives
  • Abbr : A&A
  • 2026, 10(1), pp.185~223
  • DOI : 10.22931/aanda.2026.10.1.007
  • Publisher : Korea Consensus Institute
  • Research Area : Social Science > Social Science in general
  • Received : January 15, 2026
  • Accepted : February 4, 2026
  • Published : February 28, 2026

YOON 1 Lee, Kyung Eun 2 Youngju Kang 2

1한신대학교
2한국지방행정연구원

Accredited

ABSTRACT

This study examines the factors influencing the management and utilization of disaster safety data in local governments within the context of AI (Artificial Intelligence) & data-based administration. Four exemplary cases—Seoul, Osan, Ulsan, and Jeonju—were selected based on data types, digital technologies, disaster safety domains, and administrative levels, and comparatively analyzed across institutional, organizational, capacity, and technological dimensions. Based on literature review and in-depth interviews with 11 officials, researchers, and practitioners, the findings show that although institutional frameworks such as ordinances and plans are relatively well established, challenges remain in interdepartmental coordination, accountability, budget acquisition, and citizen participation. In addition, limited data expertise among public officials, difficulties in capacity accumulation due to staff rotation, shortages of dedicated personnel, and issues related to data accuracy, privacy protection, private data costs, and system integration persist. Based on these analysis results, this study offers policy implications for enhancing the effectiveness of AI & data-based administration in disaster safety governance.

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