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Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights

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Cover of 'Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights'

Table of Contents

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    Book Overview
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    Chapter 1 An Assessment of the Impact of Natural and Technological Disasters Using a DEA Approach
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    Chapter 2 Selective Routing for Post-disaster Needs Assessments
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    Chapter 3 Bridging the Gap
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    Chapter 4 Multi-Hazard Scenarios and Impact Mapping for a Protected Built Area in Bucharest, as a Base for Emergency Planning
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    Chapter 5 Lean Thinking and UN Field Operations: A Successful Co-existence?
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    Chapter 6 Collaborative Incident Planning and the Common Operational Picture
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    Chapter 7 Metaheuristic Optimization for Logistics in Natural Disasters
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    Chapter 8 Tsunami of the Meteoric Origin
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    Chapter 9 The Donation Collections Routing Problem
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    Chapter 10 Network Criticality and Network Complexity Indicators for the Assessment of Critical Infrastructures During Disasters
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    Chapter 11 Freight Service Provision for Disaster Relief: A Competitive Network Model with Computations
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    Chapter 12 A Mean-Variance Disaster Relief Supply Chain Network Model for Risk Reduction with Stochastic Link Costs, Time Targets, and Demand Uncertainty
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    Chapter 13 A Review of Current Earthquake and Fire Preparedness Campaigns: What Works?
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    Chapter 14 The Impact of the Syria Crisis on Lebanon
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    Chapter 15 Absenteeism Impact on Local Economy During a Pandemic via Hybrid SIR Dynamics
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    Chapter 16 Tornado Detection with Kernel-Based Classifiers from WSR-88D Radar Data
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    Chapter 17 Evacuation Modeling and Betweenness Centrality
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    Chapter 18 Ode to the Humanitarian Logistician: Humanistic Logistics Through a Nurse’s Eye
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Citations

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Title
Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-43709-5
ISBNs
978-3-31-943709-5, 978-3-31-943707-1
Editors

Ilias S. Kotsireas, Anna Nagurney, Panos M. Pardalos

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Student > Ph. D. Student 4 19%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Researcher 1 5%
Other 1 5%
Unknown 9 43%
Readers by discipline Count As %
Engineering 3 14%
Business, Management and Accounting 2 10%
Mathematics 1 5%
Environmental Science 1 5%
Computer Science 1 5%
Other 3 14%
Unknown 10 48%