Authors: Georgia Aifadopoulou; Emmanouil Chaniotakis; Iraklis Stamos; Sokratis Mamarikas; Evangelos Mitsakis
Addresses: Centre for Research and Technology Hellas, Hellenic Institute of Transport, 6th km. Charilaou, Thermi Road, 57001, Thermi, Greece ' Technical University of Munich, Arcisstraße 21, 80333, Munich, Germany ' IRU Projects, 71 Avenue de Cortenbergh, 1000 Brussels, Belgium ' Centre for Research and Technology Hellas, Hellenic Institute of Transport, 6th km. Charilaou, Thermi Road, 57001, Thermi, Greece ' Centre for Research and Technology Hellas, Hellenic Institute of Transport, 6th km. Charilaou, Thermi Road, 57001, Thermi, Greece
Abstract: Climate change-induced disasters are gaining in both severity and intensity. In view of their associated increased impacts on human assets and systems, public and private stakeholders have lately turned their attention to efficiently and effectively managing their effects, both prior as well as during an event's occurrence. In an effort to address this issue, the DECIDE intelligent decision support systems (iDSS) has been developed, validated and tested under realistic conditions, aiming to assist public authorities in safe-proofing and protecting transport networks and operations in case of extreme weather events and related natural hazards. The iDSS is a web-based, GIS-enabled platform, able to suggest protection and management measures that optimally address occurring events, the affected modes of transport and transport networks and infrastructures. Optimal protection actions are derived from a database containing measures, strategies and policies that have been deployed at EU level in the last decades.
Keywords: disaster management; open source; GIS; extreme conditions traffic measures; decision support systems; DSSs.
International Journal of Decision Support Systems, 2018 Vol.3 No.1/2, pp.91 - 105
Received: 13 Oct 2017
Accepted: 14 Apr 2018
Published online: 17 Aug 2018 *