Community based emergency response
Proceedings of the 14th Annual International Conference on Digital Government Research
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Natural disasters, such as hurricanes, tsunamis and earthquakes cause huge loss of life, enormous amounts of property damage, and lengthy recovery times. Although it is impossible to avoid the costs of disasters, human sufferings can be minimized through effective disaster management and decision support system that can facilitate and expedite the resource distribution process more efficiently and effectively. In this paper, we utilized the high performance computing resources at Purdue University Calumet (PUC) to develop a disaster data management, visualization and decision supporting system that focuses on North West Indiana region. This paper focuses on three research objectives: 1) development of web-based disaster data management and communication system, 2) fast distributed computation of disaster related damage assessment and resource distribution strategy utilizing Miner Cluster, 3) interactive visualization of disaster affected populations, resource centers, as well as the resource distribution strategy. This research provides an efficient way for the local government agencies to process and manage disaster related information under adverse disaster conditions.