Leveraging spatial data infrastructure for disaster risk reduction

Tatenda Manyuchi 1, *, Philip Taru 1 and Geofrey Mukwada 2

1 Department of Geoinformatics and Environmental Conservation, Chinhoyi University of Technology, Chinhoyi, Zimbabwe.
2 Department of Geography, University of the Free State, Phuthaditjhaba, South Africa.
 
Research Article
International Journal of Science and Technology Research Archive, 2025, 08(01), 050-058.
Article DOI: 10.53771/ijstra.2025.8.1.0024
Publication history: 
Received on 13 December 2024; revised on 27 January 2025; accepted on 30 January 2025
 
Abstract: 
The systematic review approach revealed that location-based decision making allows for structured approach to prioritization of disaster response and recovery by disaster management practitioners. The Yokohama Strategy called for the use of information across national, regional and international scales for Disaster Risk Reduction (DRR), while Priority Action 1f of the Sendai Framework called for the use of “real time access to reliable data, make use of space and in situ information, including geographic information systems (GIS), and use information and communications technology innovations to enhance measurement tools and the collection, analysis and dissemination of data.” The bibliometric review of the role of SDI in the management of natural disasters revealed that interest is shifting from mark-up languages and sensors to web services and data integration. The efficiency of operational SDI driven DRR is a function of the availability of relevant and up-to-date information.  Though there are technological limitations in developing countries in Africa, there is an urgent need to increase uptake and implementation of SDIs drawing lessons from the SDI-East Africa and the global community.
 
Keywords: 
Spatial Data Infrastructure; Disaster Management; GIS, Early Warning Systems; Hydrometeorology
 
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