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Information Technology in Disaster Risk Reduction

Overview of attention for book
Cover of 'Information Technology in Disaster Risk Reduction'

Table of Contents

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    Book Overview
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    Chapter 1 Research on Disaster Communications
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    Chapter 2 How ICT Changes the Landscape of Disaster Risk Management
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    Chapter 3 Initial Use of Big Data and Open Data on Disaster Risk Management
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    Chapter 4 Supporting Decision Making in Disasters: The DiMas Tool
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    Chapter 5 Weather Data Handlings for Tornado Recognition Using mHGN
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    Chapter 6 The Concept of a Regional Information-Analytical System for Emergency Situations
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    Chapter 7 Adaptation of the Rules of the Models of Games with Nature for the Design of Safety Systems
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    Chapter 8 Universal Design of Information Sharing Tools for Disaster Risk Reduction
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    Chapter 9 Estimating the Probability of Earthquake Magnitude Between Mw = 4 and Mw = 5 for Turkey
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    Chapter 10 Enhancing Regional Disaster Resilient Trade and Investment – Business Continuity Management
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    Chapter 11 GIS Application for Economic Assessment of Direct Disaster Losses
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    Chapter 12 Evacuation Planning for Disaster Management by Using the Relaxation Based Algorithm and Route Choice Model
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    Chapter 13 Data Processing for Assessment of Meteorological and Hydrological Drought
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    Chapter 14 Formal Methods for Railway Disasters Prevention
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    Chapter 15 Public Expectations of Social Media Use by Critical Infrastructure Operators During Crises: Lessons Learned from France
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    Chapter 16 Geoinformation Approach in Soil Erosion Susceptibility Assessment – A Tool for Decision Making: Case Study of the North-Western Bulgaria
Overall attention for this book and its chapters
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Mentioned by

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2 Wikipedia pages

Readers on

mendeley
6 Mendeley
Summary Wikipedia
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Title
Information Technology in Disaster Risk Reduction
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-18293-9
ISBNs
978-3-03-018292-2, 978-3-03-018293-9
Editors

Murayama, Yuko, Velev, Dimiter, Zlateva, Plamena

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 17%
Researcher 1 17%
Lecturer 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Social Sciences 1 17%
Medicine and Dentistry 1 17%
Unknown 2 33%

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