|   | 
Details
   web
Records
Author Kostas Kolomvatsos; Kakia Panagidi; Stathes Hadjiefthymiades
Title Optimal spatial partitioning for resource allocation Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 747-757
Keywords Algorithms; Disaster prevention; Disasters; Image segmentation; Information systems; Particle swarm optimization (PSO); Risk management; Disaster management; Emergency management; Emergency response; Intelligent techniques; Numerical results; Particle swarm optimization algorithm; Pso; Spatial partitioning; Resource allocation
Abstract Spatial partitioning consists of the problem of finding the best segmentation of an area under specific conditions. The final goal is to identify parts of the area where a number of resources could be allocated. Such cases are common in disaster management scenarios. In this paper, we consider such a scenario and propose a methodology for the resource allocation for emergency response. We utilize an intelligent technique that is based on the Particle Swarm Optimization algorithm. We define the problem by giving specific formulations and describe the proposed algorithm. Moreover, we provide a method for separating the area into cells and describe a technique for calculating cell weights based on the underlying spatial data. Finally, we present a case study for allocating a number of ambulances and give numerical results concerning the run time and the total coverage of the examined area.
Address Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue (up) Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Planning and Foresight Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 658
Share this record to Facebook
 

 
Author Sofia Kostakonti; Ramona Velea; Vassilis Papataxiarhis; Daniele Del Bianco; Uberto Delprato; Stathes Hadjiefthymiades
Title A semantic approach for modeling vulnerability of communities Type Conference Article
Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021
Volume Issue Pages 305-318
Keywords Community vulnerability, semantic modeling, community resilience, knowledge representation and reasoning
Abstract In this paper, we propose the use of semantic technologies for the representation of concepts and relationships required for the modeling of vulnerability data for local communities. First, we discuss the concepts of vulnerability and resilience and we try to identify the relationship between the two. We provide some background knowledge and we present basic characteristics of the two concepts. Next, we discuss the motivation behind the use of semantic technologies, and we show how the proposed framework can address existing challenges in terms of vulnerability assessment. The core part of this paper focuses on the semantic representation of community vulnerability aspects. We give an overview of the layered semantic framework consisting of interconnected ontological models and we provide a set of use-cases where the use of semantic-based modeling and query answering can prove beneficial in terms of assessing vulnerability.
Address National and Kapodistrian University of Athens; Institute of International Sociology of Gorizia; National and Kapodistrian University of Athens; Institute of International Sociology of Gorizia; Intelligence for Environment and Security; National and Kapod
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue (up) Edition
ISSN 978-1-949373-61-5 ISBN Medium
Track Data and Resilience: Opportunities and Challenges Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management
Notes sofkost@di.uoa.gr Approved no
Call Number ISCRAM @ idladmin @ Serial 2335
Share this record to Facebook