Information Theoretic Approach to Design of Emergency Response Systems

Emergency response information systems provide critical support to the disaster management. Despite of the growing interest in this area, the existing research is scanty. A significant limitation is the lack of sound theoretical foundations for emergency management and the information system development. In this paper, the authors adapt Information Theory to explore the theoretical underpinnings of emergency response and discuss the general system design issues

Autonomous notification and situation reporting for flood disaster management

Failed management in emergency response effort due to inefficient and ineffective operation influences the adoption of information and communication technology specifically the Internet technology and World Wide Web. Timeliness,rapid response and efficient information dissemination are crucial in emergency management. This paper proposes a software design architecture taking advantage of the intelligent agent technology to facilitate autonomous notification and auto generates situation report. The adoption of agent technology has made it possible to produce scheduled report with standardized format that can reduce duplications and redundancies of information

Flood pattern detection using sliding window technique

Patterns could be discovered from historical data and can be used to recommend decisions suitable for a typical situation in the past. In this study, the sliding window technique was used to discover flood patterns that relate hydrological data consisting of river water levels and rainfall measurements. Unique flood occurrence patterns were obtained at each location.Based on the discovered flood occurrence patterns,mathematical flood prediction models were formulated by employing the regression technique. Experimental results showed that the mathematical flood prediction models were able to produce good prediction on the flood occurrences. Results from this study proved that sliding window technique was able to detect patterns from temporal data. It is also considered a sound approach to adopt in predicting the flood occurrence patterns as it requires no prior knowledge as compared to other approaches when dealing with temporal data

Group Support Systems for Knowledge Acquisition in Humanitarian Disaster Response Teams: Embedded Research in the Belgian First Aid and Support Team

Knowledge management systems (KMS) are designed to support and enhance the process of creating, storing, retrieving and transferring knowledge. In this contribution we investigate the use of such systems for the acquisition of knowledge in humanitarian disaster response teams. First, we present a framework describing how KMS should enhance group process gains and alleviate group process losses, and create an effective learning environment for successfully supporting the acquisition of knowledge. Second, we describe ongoing research on the acquisition of knowledge in the Belgian humanitarian response team (B-FAST, for Belgian First Aid and Support Team) that uses Microsoft Groove as knowledge management system before, during and after their missions. Initial findings are presented based on participant observation and interviews of the B-FAST team during a large humanitarian exercise, along with plans for future research

Emergency Response Information System Interoperability: Development of Chemical Incident Response Data Model

Emergency response requires an efficient information supply chain for the smooth operations of intra- and inter-organizational emergency management processes. However, the breakdown of this information supply chain due to the lack of consistent data standards presents a significant problem. In this paper, we adopt a theory- driven novel approach to develop an XML-based data model that prescribes a comprehensive set of data standards (semantics and internal structures) for emergency management to better address the challenges of information interoperability. Actual documents currently being used in mitigating chemical emergencies from a large number of incidents are used in the analysis stage. The data model development is guided by Activity Theory and is validated through a RFC-like process used in standards development. This paper applies the standards to the real case of a chemical incident scenario. Further, it complies with the national leading initiatives in emergency standards (National Information Exchange Model

Disaster management from a POM perspective : mapping a new domain

We have reviewed disaster management research papers published in major operations management, management science, operations research, supply chain management and transportation/ logistics journals. In reviewing these papers our objective is to assess and present the macro level “architectural blue print” of disaster management research with the hope that it will attract new researchers and motivate established researchers to contribute to this important field. The secondary objective is to bring this disaster research to the attention of disaster administrators so that disasters are managed more efficiently and more effectively. We have mapped the disaster management research on the following five attributes of a disaster: (1) Disaster Management Function (decision making process, prevention and mitigation, evacuation, humanitarian logistics, casualty management, and recovery and restoration), (2) Time of Disaster (before, during and after), (3) Type of Disaster (accidents, earthquakes, floods, hurricanes, landslides, terrorism and wildfires etc.), (4) Data Type (Field and Archival data, Real data and Hypothetical data), and (5) Data Analysis Technique (bidding models, decision analysis, expert systems, fuzzy system analysis, game theory, heuristics, mathematical programming, network flow models, queuing theory, simulation and statistical analysis). We have done cross tabulations of data among these five parameters to gain greater insights in disaster research. Recommendations for future research are provided