@Article{rig.2026.079178,
AUTHOR = {Dogukan Sugolu, Lutfiye Kusak},
TITLE = {Mobile GIS in Disaster Management: A Bibliometric and Systematic Review Across the Disaster Management Cycle},
JOURNAL = {Revue Internationale de Géomatique},
VOLUME = {35},
YEAR = {2026},
NUMBER = {1},
PAGES = {461--489},
URL = {http://www.techscience.com/RIG/v35n1/68236},
ISSN = {2116-7060},
ABSTRACT = {Disasters are occurring much more frequently and their impacts are worsening due to factors such as climate change, rapid urbanization, and environmental degradation. The need for technologies like Mobile Geographic Information Systems (Mobile GIS) in disaster management is increasing every day. This study evaluates mobile GIS applications in disaster management using a hybrid method combining bibliometric analysis with a PRISMA-based systematic review approach. Analyzing 353 publications, the study reveals that mobile GIS research is among the preferred technologies in disaster management. However, a significant structural imbalance is also noticeable in the literature, with a large proportion of studies focusing on the during-disaster phase, while pre-disaster and especially post-disaster applications remain relatively limited. This suggests that Mobile GIS is predominantly positioned in the literature as an operational and reactive decision support tool. In addition to studies demonstrating that Mobile GIS can be used for real-time data collection, enhancing situational awareness, and improving interagency coordination across all phases of the disaster management cycle (preparation, response, and recovery), its integration with new technologies such as artificial intelligence, the Internet of Things (IoT), cloud computing, unmanned aerial vehicles (UAVs), and digital twins will make Mobile GIS a smarter, more flexible, and data-driven decision support system. However, various problems persist, such as low data quality, lack of interoperability, dependence on connectivity, limited user capacity, and organizational obstacles. This means that more robust data infrastructures, standardized and interoperable systems, and user-centric design approaches need to be developed. This study shows that mobile GIS in disaster management should be evaluated not only in terms of individual application areas but also in terms of the relationships between disaster types, management phases, and technological themes. It also reveals the potential for a transition from reactive to proactive and predictive systems.},
DOI = {10.32604/rig.2026.079178}
}