Year: 2026
Type: dissertation
Study design: Systematic Review
Abstract: As natural and human-made disasters have become more frequent, Disaster Risk Management (DRM) has emerged as a field of particular scientific and operational importance.Effective risk management is a fundamental prerequisite for protecting human life, critical infrastructure, and the natural environment.In this context, Information and Communication Technologies (ICT) play a crucial role by providing capabilities for the collection, processing, analyzing, and sharing data that support evidence-based decision-making at all stages of the disaster management cycle.The purpose of this literature review is to systematically document and evaluate the main technologies used in DRM, to assess their effectiveness in the various phases of the disaster management cycle, and to develop a conceptual framework for their selection and evaluation.The methodology is based on a structured literature review of international scientific publications retrieved from the Scopus, ScienceDirect, and Google Scholar databases, following specific inclusion and exclusion criteria for the studies.The literature review shows that technologies such as Geographic Information Systems (GIS), Remote Sensing, Early Warning Systems, the Internet of Things (IoT), Big Data Analytics, Artificial Intelligence, as well as cloud and edge computing infrastructures, contribute significantly to disaster prevention, preparedness, response, and recovery.Their effectiveness, however, depends on the quality of the available data, the interoperability of information systems, institutional cooperation, the technological capabilities of organizations, and users' acceptance of the technologies.At the same time, it should be noted that no single technology can, on its own, meet all of DRM's Institutional Repository -Library & Information Centre -University of Thessaly 25/10/2026
Author: Βαρούχος, Γεώργιος Κ.
Language: Greek
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7223536422