Multiregional Flood Footprint Analysis: An Appraisal of the Economic Impact of Flooding Events

Acknowledgments
Contents
List of Figures
List of Table
Chapter 1: Introduction
Chapter 2: Theoretical and Methodological Background
	2.1 Introduction
	2.2 Applications of Standard IO Analysis to Disasters
		2.2.1 Supply IO Model: The Ghosh Model
		2.2.2 Reinterpretation as a Price Model
		2.2.3 Hypothetical Extraction
		2.2.4 Applications to Disasters
	2.3 Economic-Ecological IO Model
	2.4 Multiregional and Interregional IO
		2.4.1 Interregional IO Model (IRIO)
		2.4.2 Multiregional IO (MRIO) Model
			2.4.2.1 The Basic Model
			2.4.2.2 Applications to Disasters
	2.5 IO Approach for Disaster Impact Analysis: Indirect Cost Appraisal
		2.5.1 Modelling the Risks
		2.5.2 Time-Dynamic Extensions
		2.5.3 Modelling Imbalances
		2.5.4 Recent Developments
Chapter 3: The Flood Footprint Analysis: A Proposal
	3.1 Flood Footprint for a Single Region
		3.1.1 Sources of Post-disaster Inequalities
			3.1.1.1 Labour Productivity Constraints
			3.1.1.2 Capital Productivity Constraints
			3.1.1.3 Post-disaster Final Demand
		3.1.2 Post-disaster Recovery Process
			3.1.2.1 Rationing Scheme
			3.1.2.2 Imports
			3.1.2.3 Recovery Process
		3.1.3 Flood Footprint Modelling Outcomes
			3.1.3.1 Direct and Indirect Costs
			3.1.3.2 Flowchart for Flood Footprint Modelling
		3.1.4 Regionalisation of IO Technical Coefficients
	3.2 Methodology for the Multiregional Flood Footprint Analysis (MFFA)
		3.2.1 The Model
		3.2.2 Main Constraints
			3.2.2.1 Production Constraints
			3.2.2.2 Labour Productivity Constraints
		3.2.3 Production Constraints by Capital
		3.2.4 Changes in Final Demand
		3.2.5 Post-disaster Recovery Process
	3.3 Final Remarks
Chapter 4: Case Applications
	4.1 Single-Region FFA: The Case of the 2007 Floods in Yorkshire and the Humber, UK
		4.1.1 The Floods
			4.1.1.1 Data Gathering and Codification
			4.1.1.2 Economic Data
			4.1.1.3 Disaster Data
		4.1.2 Model Results
			4.1.2.1 Total Economic Losses for Yorkshire and the Humber Region
		4.1.3 Sectoral Analysis
		4.1.4 Case Summary
	4.2 Single-Region FFA for Multiple Regions: The Case of the 2010 Windstorm Xynthia in Europe
		4.2.1 The Windstorm
		4.2.2 The Model´s Results
			4.2.2.1 Direct and Cumulative Indirect Impacts
			4.2.2.2 Industrial Direct Damages
			4.2.2.3 Residential Direct Damages
			4.2.2.4 Indirect Damages
			4.2.2.5 Windstorm Footprint
			4.2.2.6 Sectoral Distribution
			4.2.2.7 National Distribution of Damages by Industrial Sector
		4.2.3 Summary
	4.3 Adaptation Benefits: The Case of Blue-Green Infrastructure in Newcastle, UK
		4.3.1 BGI for Flood Risk Management
		4.3.2 Methodology Rationale
		4.3.3 Data Gathering and Codification
			4.3.3.1 Hazard Information
			4.3.3.2 Infrastructure Information
			4.3.3.3 Damage Functions
			4.3.3.4 Economic Data for Flood Footprint Model
			4.3.3.5 Disaster Data
		4.3.4 The Model´s Results
			4.3.4.1 BGI Benefits
			4.3.4.2 Sectoral Distribution of Benefits
		4.3.5 Summary
	4.4 MFFA: Projected Case for Rotterdam, the Netherlands
		4.4.1 Contextual Information of Rotterdam
			4.4.1.1 General Information
			4.4.1.2 Historical Flood Risk Context
			4.4.1.3 Urban Planning Context
			4.4.1.4 Institutional Context
		4.4.2 The Data
			4.4.2.1 Disaster Information
			4.4.2.2 Economic Information
			4.4.2.3 Economic Data for Rotterdam
		4.4.3 Results of the Multiregional Flood Footprint Analysis
			4.4.3.1 Direct and Indirect Damage
			4.4.3.2 Recovery Path
			4.4.3.3 Regional Distribution
			4.4.3.4 Sectoral Distribution
		4.4.4 Summary
Chapter 5: Concluding Remarks
	5.1 Contribution to Knowledge
	5.2 Key Method Development
		5.2.1 Extension
		5.2.2 Applicability
		5.2.3 Adaptability
	5.3 Policy Implications
	5.4 Implications for Stakeholders and Policy Makers
	5.5 Limitations of the MFFA
	5.6 Future Research
References