Dataflow model for managing urban disasters: The experience of Bam earthquake

Purpose: The purpose of this paper is to provide a system based on the data flow diagram (DFD), which can be used to help urban policy makers reduce the consequences of natural disasters. Design/methodology/approach: The paper considers the socio-technical perspective of government information systems and management, and draws on the collection and analysis of several public reports, media papers, and expert opinions published in the aftermath of the earthquake in Bam, Iran in December 2003, as one of the most destructive urban disasters in Iran and worldwide. Findings: Considering the rescue and disaster management activities after Bam earthquake, the paper examines and discusses how important a clear DFD-based system for managing urban disasters is. Moreover, the DFD model is suggested as an expert system to better handle and manage operations and different organizations involved in the rescue process. Research limitations/implications: The paper requires a practical pilot implementation of DFD-based system. Practical implications: The authors believe that the research outcomes and results can assist governments and public managers in preparing and developing a disaster management system in controlling the consequences of urban disasters such as earthquake. Originality/value: This research reveals the importance and necessity of having a comprehensive and well-planned system to be prepared for controlling and managing urban disasters and their consequences. Moreover, the results are based on the observations and interviews made in the city of Bam, right after the earthquake, so it provides an invaluable understanding about the specific conditions of the city after that deadly disaster.