Design and Optimization Framework for an Intelligent Cloud-Based Emergency Response and Reporting System: A Case Study of PHALGA, Urban Nigeria

Delays in fire incident reporting and the absence of coordinated communication frameworks continue to undermine emergency response effectiveness in many rapidly urbanizing African cities. In Port Harcourt Local Government Area (PHALGA), Rivers State, Nigeria, fire emergency management remains largely dependent on manual, fragmented, and unreliable reporting mechanisms. This study presents the design, development, optimization, and evaluation of an intelligent cloud-based emergency response and reporting system tailored for urban fire incidents. Adopting a Design Science Research (DSR) methodology, the proposed system integrates a mobile reporting application, a cloud-hosted real-time backend, and a web-based responder dashboard. Core technologies include Node.js, WebSocket communication, PostgreSQL and MongoDB hybrid databases, GPS-enabled geolocation, and automated alert mechanisms. Performance evaluation using simulated and field-based testing demonstrates an average system response time of 405 ms under 500 concurrent users, a message delivery success rate of 97%, and reconnection reliability of 100% under network disruptions. Usability assessment using the System Usability Scale (SUS) yielded a score of 84, indicating high user acceptance. Compared to the existing manual reporting process, the proposed system reduced incident-to-response initiation time by approximately 70%. The findings confirm that cloud-based, mobile-driven emergency reporting platforms can significantly improve responsiveness, coordination, and situational awareness in resource-constrained urban environments. The study contributes a scalable and context-aware framework for strengthening fire emergency management in developing cities.