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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
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
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