Author(s): Giha Lee; Byungsik So; Dongkeun Lee; Eunyoung Jung; Kyoungdo Lee

Linked Author(s):

Keywords: ANP; BPA; DARP; DRMP; Urban inundation

Abstract: Recent climate change has intensified both the frequency and severity of extreme flood events, leading to increasingly severe human and economic losses in urban areas. To address these challenges, this study presents Disaster Analysis and Recovery Planning (DARP), an integrated data-driven framework that links urban inundation analysis with post-disaster recovery planning. Based on data standardization and automated modular procedures, DARP integrates the entire process-from analysis and priority setting to recovery planning-into a single, consistent workflow, with the aim of enhancing the speed and reproducibility of decision-making. The proposed framework was applied to Phnom Penh, Cambodia, a flood-vulnerable city, where economic damage costs were estimated based on the results of urban inundation analysis. Subsequently, recovery priorities were determined using Business Priority Analysis (BPA) and the Analytic Network Process (ANP), and these priorities were incorporated into the Disaster Recovery Master Plan (DRMP) to establish spatial recovery strategies. Through this approach, the framework clarifies priorities for recovery investment and policy implementation, ultimately providing a basis for decision support in urban disaster recovery.

DOI: https://doi.org/10.64697/iahr.proc.hic2026.33

Year: 2026