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Modeling Spatial and Economic Impacts of Disasters

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Cover of 'Modeling Spatial and Economic Impacts of Disasters'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Economic Principles, Issues, and Research Priorities in Hazard Loss Estimation
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    Chapter 3 Indirect Losses from Natural Disasters: Measurement and Myth
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    Chapter 4 Has September 11 Affected New York City’s Growth Potential?
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    Chapter 5 Measuring Economic Impacts of Disasters: Interregional Input-Output Analysis Using Sequential Interindustry Model
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    Chapter 6 Geohazards in Social Systems: An Insurance Matrix Approach
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    Chapter 7 Computable General Equilibrium Modeling of Electric Utility Lifeline Losses from Earthquakes
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    Chapter 8 The Fall of the Iron Curtain and the Evolution of German Regional Labour Markets: A Self-Organized Criticality Perspective
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    Chapter 9 Risk Perception, Location Choice and Land-use Patterns under Disaster Risk: Long-term Consequences of Information Provision in a Spatial Economy
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    Chapter 10 The Dynamics of Recovery: A Framework
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    Chapter 11 Earthquake Disaster Mitigation for Urban Transportation Systems: An Integrated Methodology that Builds on the Kobe and Northridge Experiences
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    Chapter 12 Analysis of Economic Impacts of an Earthquake on Transportation Network
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    Chapter 13 Benefit Cost Analysis for Renewal Planning of Existing Electric Power Equipment
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    Chapter 14 Evaluating the Disaster Resilience of Power Networks and Grids
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Mentioned by

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2 policy sources

Citations

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137 Dimensions

Readers on

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60 Mendeley
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Title
Modeling Spatial and Economic Impacts of Disasters
Published by
Springer Berlin Heidelberg, June 2013
DOI 10.1007/978-3-540-24787-6
ISBNs
978-3-64-205985-8, 978-3-54-024787-6
Editors

Okuyama, Yasuhide, Chang, Stephanie E.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Germany 1 2%
Australia 1 2%
Unknown 55 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 38%
Student > Master 15 25%
Researcher 11 18%
Professor > Associate Professor 2 3%
Other 2 3%
Other 3 5%
Unknown 4 7%
Readers by discipline Count As %
Economics, Econometrics and Finance 12 20%
Engineering 12 20%
Environmental Science 9 15%
Business, Management and Accounting 4 7%
Social Sciences 4 7%
Other 9 15%
Unknown 10 17%