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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
Attention for 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 title
Multi-Hazard Scenarios and Impact Mapping for a Protected Built Area in Bucharest, as a Base for Emergency Planning
Chapter number 4
Book title
Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights
Published in
Springer Proceedings in Mathematics & Statistics, November 2016
DOI 10.1007/978-3-319-43709-5_4
Book ISBNs
978-3-31-943707-1, 978-3-31-943709-5
Authors

Emil-Sever Georgescu, Cristina Olga Gociman, Iolanda-Gabriela Craifaleanu, Mihaela Stela Georgescu, Cristian Iosif Moscu, Claudiu Sorin Dragomir, Daniela Dobre

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Romania 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Master 3 18%
Student > Ph. D. Student 3 18%
Professor > Associate Professor 2 12%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Engineering 4 24%
Arts and Humanities 2 12%
Earth and Planetary Sciences 2 12%
Environmental Science 2 12%
Social Sciences 2 12%
Other 1 6%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 January 2020.
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#21,160,107
of 25,992,468 outputs
Outputs from Springer Proceedings in Mathematics & Statistics
#1
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#315,762
of 418,946 outputs
Outputs of similar age from Springer Proceedings in Mathematics & Statistics
#1
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