The Role of GIS in Disaster Response: Improving Efficiency and Overcoming Challenges

Abstract

Geographic Information Systems (GIS) have become an essential tool in modern disaster response, offering capabilities that enhance the efficiency and effectiveness of disaster management strategies. This paper explores the role of GIS in disaster response, emphasizing its applications in risk assessment, real-time monitoring, evacuation planning, and post-disaster recovery. The integration of GIS with advanced technologies such as Building Information Modeling (BIM), remote sensing, artificial intelligence (AI), and machine learning has expanded its potential, enabling more accurate predictions, faster decision-making, and optimized resource allocation. Despite its significant contributions, the use of GIS in disaster management faces challenges, including issues related to data quality, system interoperability, and user capabilities. This paper also highlights the importance of integrating GIS with other disaster management systems and the need for more inclusive disaster management solutions that consider vulnerable populations. Future developments, particularly in predictive modeling, real-time data processing, and AI-driven decision support, are poised to further strengthen disaster response efforts. By tackling existing limitations and embracing emerging technologies, GIS will play an increasingly critical role in enhancing disaster resilience and management.