Overview
- Overviews the tactical points involved in disaster relief
- Illustrates hurdles in emergency services through game theory and dynamical systems
- Uses mathematical models to describe natural and manmade disasters
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 185)
Included in the following conference series:
Conference proceedings info: DOD 2015 2015.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (18 papers)
Other volumes
-
Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights
Keywords
About this book
- Critical infrastructure protection
- Resiliency
- Humanitarian logistic
- Relief supply chains
- Cooperative game theory
- Dynamical systems
- Decision making under risk and uncertainty
- Spread of diseases
- Contagion
- Funding for disaster relief
- Tools for emergency preparedness
- Response, and risk mitigation
Editors and Affiliations
Bibliographic Information
Book Title: Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights
Book Subtitle: Kalamata, Greece, June–July 2015
Editors: Ilias S. Kotsireas, Anna Nagurney, Panos M. Pardalos
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-43709-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2016
Hardcover ISBN: 978-3-319-43707-1Published: 24 November 2016
Softcover ISBN: 978-3-319-82891-6Published: 28 June 2018
eBook ISBN: 978-3-319-43709-5Published: 21 November 2016
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XVIII, 369
Number of Illustrations: 15 b/w illustrations, 60 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Operations Research/Decision Theory, Emergency Services, Game Theory, Economics, Social and Behav. Sciences, Dynamical Systems and Ergodic Theory, Operations Research, Management Science