An Integrated Disaster Response and Recovery System

In developing countries, disaster management systems have serious coordination problems, which are characterized by a disjointed communications network, manual reporting and ineffective resource allocation mechanisms. The modern methods do not deliver real-time situational awareness and automated decision support on critical emergency operations. An all-encompassing integrated system of disaster response and recovery was designed based on a multi-tier micro services architecture, mathematical optimization models, and real-time web-based coordination systems. The system includes the multi-objective integer linear programming to allocate resources and the improved shortest path algorithms to optimize the response time. Discrete event simulation to evaluate the performance of the experimental disaster response has shown significant performance enhancement across four disaster types involving 1000 incidents of disaster response. Statistical results indicated great improvements, such as a 34.7 percent decrease in mean response times, 71.6 percent decrease in communication latency, and 39.6 percent decrease in the overall coordination effectiveness as opposed to the traditional methods. The efficiency in resource allocation was up to 42.8% in all scenarios of disaster with large effect sizes (Cohen's d > 0.8), which proves its practical importance. The combined system was also capable of keeping high-quality performance under different operational circumstances, especially performing optimally in high-stress situations with limited financial resources and impaired communication systems.