List of Contributors xi
1 Introduction 1
Hugh Deeming
1.1 Book Content 2
References 3
Section I Conceptual and Theoretical Underpinnings to Community Disaster Resilience 5
2 Understanding Disaster Resilience: The emBRACE Approach 9
Thomas Abeling, Nazmul Huq, Denis Chang-Seng, Jorn Birkmann, Jan Wolfertz, Fabrice Renaud, and Matthias Garschagen
2.1 Introduction 9
2.2 Resilience: Concept 9
2.2.1 Resilience in the Social Domain 10
2.2.2 Resilience: An Outcome or a Process? 11
2.2.3 Resilience on Individual and Collective Levels 11
2.3 Resilience: Methodology 12
2.3.1 Social/Political Resilience 12
2.3.2 Linking Biophysical and Social Resilience 14
2.4 Resilience: Indicators 15
2.5 Gaps and Challenges 17
2.5.1 Challenges in the Transition from Ecology to Social Science 17
2.5.2 The Role of Power 18
2.5.3 Representation of Community 19
2.5.4 Transformation 20
2.5.5 Resourcefulness 21
2.6 Conclusion 22
References 22
3 Mobilising Resources for Resilience 27
Cheney Shreve and Maureen Fordham
3.1 Introduction 27
3.2 Background: Origins of Livelihoods Thinking 27
3.2.1 Successes of SLAs: Changing the Way Development was Done 29
3.2.2 Key Criticisms and the Evolution of Livelihoods Thinking 30
3.2.3 A Closer Look at Social Capital: Background and Key Critiques 31
3.2.4 Summary 33
3.3 Resilience and Livelihoods Thinking 34
3.3.1 Why Disasters? 34
3.3.2 Livelihoods and Disaster Vulnerability 35
3.4 Influence of Livelihoods Thinking on Contemporary Disaster Resilience 36
3.4.1 Linking to Sustainable Livelihoods: Resources and Capacities 36
3.4.2 Community Actions 37
3.4.3 Community Learning 38
3.4.4 Summary 38
References 39
4 Social Learning and Resilience Building in the emBRACE Framework 43
Justin Sharpe, Åsa Gerger Swartling, Mark Pelling, and Lucy Pearson
4.1 Introduction 43
4.2 What is Meant by Social Learning? 44
4.3 Capacities for Social Learning 46
4.4 Social Learning at the Individual Level 49
4.5 Social Learning at the Community Level 49
4.6 Social Learning and Resilience Outcomes in the emBRACE Project 52
4.7 How Social Learning Provides Opportunities for Sharing Adaptive Thinking and Practice 54
4.8 Conclusion 56
References 56
5 Wicked Problems: Resilience, Adaptation, and Complexity 61
John Forrester, Richard Taylor, Lydia Pedoth, and Nilufar Matin
5.1 Introduction 61
5.2 A Brief History of Policy 'Mess' and 'Wickedness' 62
5.2.1 'Super-Wicked' Problems 63
5.3 Resilient and Adaptive Responses to Mess 64
5.4 Clumsy Solutions Linking DRR/DRM and CCA: A Mini Case Study 66
5.5 An emBRACE Model of Complex Adaptive Community Resilience 69
5.6 Conclusion 71
References 72
Section II Methods to 'Measure' Resilience - Data and Indicators 77
6 The emBRACE Resilience Framework: Developing an Integrated Framework for Evaluating Community Resilience to Natural Hazards 79
Sylvia Kruse, Thomas Abeling, Hugh Deeming, Maureen Fordham, John Forrester, Sebastian Julich, A. Nuray Karanci, Christian Kuhlicke, Mark Pelling, Lydia Pedoth, Stefan Schneiderbauer, and Justin Sharpe
6.1 Introduction 79
6.2 Conceptual Tensions of Community Resilience 8
6.3 Developing the emBRACE Resilience Framework 82
6.3.1 Deductive Framework Development: A Structured Literature Review 82
6.3.2 Inductive Framework Development: Empirical Case Study Research 83
6.3.3 Participatory Assessment Workshops with Stakeholder Groups 83
6.3.4 Synthesis: An Iterative Process of Framework Development 83
6.4 The Conceptual Framework for Characterising Community Resilience 84
6.4.1 Intracommunity Domains of Resilience: Resources and Capacities, Action, and Learning 84
6.4.1.1 Resources and Capacities 84
6.4.1.2 Actions 86
6.4.1.3 Learning 88
6.4.2 Extracommunity Framing of Community Resilience 89
6.4.2.1 Disaster Risk Governance 89
6.4.2.2 Non-Directly Hazard-Related Context, Social-Ecological Change, and Disturbances 90
6.5 Discussion and Conclusion 91
6.5.1 Interlinkages between the Domains and Extracommunity Framing 91
6.5.2 Application and Operationalisation of the Framework in Indicator-Based Assessments 91
6.5.3 Reflections on the Results and emBRACE Methodology and Limits of the Findings 91
References 92
7 Disaster Impact and Land Use Data Analysis in the Context of a Resilience-Relevant Footprint 97
Marco Pregnolato, Marcello Petitta, and Stefan Schneiderbauer
7.1 Introduction 97
7.2 Data and Methodology 99
7.2.1 Data 99
7.2.2 Methodology 99
7.3 Results 102
7.3.1 National Scale 102
7.3.2 Regional Scale: Analysis of Landslides that Occurred Near a Change in LULC 103
7.3.3 Subnational Scale: Analysis of HTI Changes 107
7.3.4 Subnational Scale: Analysis of the LULC Changes in Time Domain 108
7.4 Conclusions and Discussions 108
7.4.1 Is There Any Relationship Between LULC and Landslide Events? 108
7.4.2 Is There Any Relationship Between a Change in LULC and a Landslide Event? 109
7.4.3 Is It Possible to Use LULC Data as a Footprint for Landslide Events? 109
7.4.4 Is It Possible to Use Disaster Footprint and Susceptibility for Resilience Research? 109
7.5 Conclusion 110
References 110
8 Development of Quantitative Resilience Indicators for Measuring Resilience at the Local Level 113
Sebastian Julich
8.1 Introduction 113
8.2 Stages of Indicator Operationalisation 114
8.3 Quantitative Indicator Development 116
8.4 Residence Time as Partial Resilience Indicator 117
8.5 Awareness through Past Natural Disasters as Partial Resilience Indicator 118
8.5.1 Single Factor Time 119
8.5.2 Single Factor Intensity 120
8.5.3 Single Factor Distance 121
8.5.4 Combination of the Three Single Factors 121
8.6 Warning Services as Partial Resilience Indicators 122
8.7 Conclusion 123
References 124
9 Managing Complex Systems: The Need to Structure Qualitative Data 125
John Forrester, Nilufar Matin, Richard Taylor, Lydia Pedoth, Belinda Davis, and Hugh Deeming
9.1 Introduction 125
9.2 Mapping of Social Networks as a Measure of Community Resilience 127
9.2.1 Assessing Resilience Using Network Maps: The embrace Experience 128
9.3 Agent- Based Models 131
9.3.1 Two Case Studies of ABM in emBRACE 132
9.4 Other Qualitative Data-Structuring Methodologies 134
9.5 Discussion 134
9.6 Conclusion 136
References 136
10 Combining Quantitative and Qualitative Indicators for Assessing Community Resilience to Natural Hazards 139
Daniel Becker, Stefan Schneiderbauer, John Forrester, and Lydia Pedoth
10.1 Introduction 139
10.2 Current Indicator-Based Approaches for Assessing Community Resilience 140
10.3 From Concept to Assessment: The emBRACE Approach 142
10.3.1 Using Indicators for Assessing Community Resilience within emBRACE 142
10.3.2 The Process of Grounding our Indicators 143
10.4 Systematisation of Indicators 145
10.5 Deriving Key Indicators of Community Resilience 148
10.6 Conclusion 151
References 151
Section III Empirically Grounding the Resilience Concept 155
11 Resilience, the Limits of Adaptation and the Need for Transformation in the Context of Multiple Flood Events in Central Europe 159
Christian Kuhlicke, Anna Kunath, Chloe Begg, and Maximilian Beyer
11.1 Introduction 159
11.2 Key Concepts for the Case Study 161
11.3 Insights into the Case Study Settings and Methods 162
11.3.1 Flood Risk Management in Saxony and Bavaria 162
11.3.2 Methods of Case Study Research - Description of Empirical Work 163
11.3.2.1 Interviews 163
11.3.2.2 Household Survey 163
11.4 Results of the Interviews: Resilience, Learning, and Transformation 165
11.5 Results of the Household Survey: Resilience, Limits of Adaptation, and Responsibility 167
11.5.1 Impacts of (Multiple) Flood Experience 167
11.5.2 Perception of Responsibility in Flood Risk Management 170
11.5.3 Attitudes towards Participation 171
11.6 Community
Resilience and the Idea of Transformation 172
References 173
12 River and Surface Water Flooding in Northern England: The Civil Protection-Social Protection Nexus 177
Hugh Deeming, Belinda Davis, Maureen Fordham, and Simon Taylor
12.1 Introduction 177
12.2 Conceptualising Community 179
12.3 Methods 181
12.4 Results 182
12.4.1 Rural Resilience 182
12.4.2 Urban Resilience 185
12.4.2.1 Keswick 185
12.4.2.2 Cockermouth 189
12.4.2.3 Workington 191
12.5 Discussion and Conclusions 192
References 194
13 The Role of Risk Perception and Community Networks in Preparing for and Responding to Landslides: A Dolomite Case Study 197
Lydia Pedoth, Richard Taylor, Christian Kofler, Agnieszka Elzbieta Stawinoga, John Forrester, Nilufar Matin, and Stefan Schneiderbauer
13.1 Introduction 197
13.2 Badia and the Alpine Context 198
13.3 Two Types of Communities and a Mixed Method Approach 201
13.4 Risk Perception, Risk Attitude, and Response Behaviour 203
13.4.1 Risk Behaviour Profiles 204
13.4.1.1 Temporal Variation in People's Perception of Response and Recovery Actions 206
13.5 Community Networks 209
13.6 Conclusions and Discussion 214
References 217
14 The Social Life of Heatwave in London: Recasting the Role of Community and Resilience 221
Sebastien Nobert and Mark Pelling
14.1 Introduction 221
14.2 Methodology 222
14.2.1 Community Resilience or Resilience from Community? 223
14.2.1.1 Community and the Elderly 223
14.2.1.2 Resilience and Community Ties 224
14.2.2 Rethinking the Normatives of Heatwave Management: Family, Social Ties, and the Collectivity 225
14.2.2.1 Loneliness, Social Networks, and Community 226
14.2.2.2 Rethinking Social Network and Social Capital as Vulnerability Factors 227
14.2.2.3 Social Capital, Fragmented Community, and New Vulnerability 230
14.3 Conclusion 231
References 232
Further Reading 234
15 Perceptions of Individual and Community Resilience to Earthquakes: A Case Study from Turkey 237
A. Nuray Karanci, Gozde Ikizer, Canay Do?ulu, and Dilek Ozceylan-Aubrecht
15.1 Introduction 238
15.2 Context of the Case Study 239
15.2.1 Van: The Earthquakes and Sociodemographic Context 239
15.2.2 Adapazar?/Sakarya: The Earthquake and Sociodemographic Context 240
15.2.3 Risk Governance Setting in Turkey 240
15.3 Main Aims and Research Questions 241
15.4 Methodological Approaches 241
15.4.1 In-Depth Interviews 242
15.4.2 Focus Groups 242
15.5 Perceptions of Resilience According to the emBRACE Framework 242
15.5.1 Resources and Capacities 244
15.5.2 Learning 250
15.5.3 Context 252
15.6 Discussion and Conclusions 252
References 254
Conclusions 257
Index 261
