TY - JOUR
T1 - First insights from the Flood Resilience Measurement Tool
T2 - a large-scale community flood resilience analysis
AU - Campbell, Karen A.
AU - Laurien, Finn
AU - Czajkowski, Jeffrey
AU - Keating, Adriana
AU - Hochrainer-Stigler, Stefan
AU - Montgomery, Marilyn
N1 - Funding Information:
The authors are extremely grateful to Reinhard Mechler, Erwann Michel-Kerjan, Howard Kunreuther, Michael Szoenyi, David Nash, Colin McQuistan, Francisco Ianni, Scott Chaplowe and three anonymous reviewers for their valuable input, comments and collaboration on the research. We also thank the Z Zurich Foundation for their support and funding.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/11
Y1 - 2019/11
N2 - A major gap in understanding community flood resilience is a lack of an empirically validated measure of it. To fill this gap, the Zurich Flood Resilience Alliance developed an approach to test and validate a measure of community flood resilience. The approach holistically measures a set of sources of community flood resilience and, when floods occur, it also measures resilient outcomes (level of loss and recovery time). The data is collected and assessed via a web and mobile based measurement tool. Here we report results from data collected in 118 communities across 9 countries using mixed method data collection approaches. This study represents the first large scale analysis of systemic and replicable flood resilience baseline data. The learnings from the analysis provide insights into sources of community flood resilience as a first step to building an evidence based approach to building effective flood resilience capacity.
AB - A major gap in understanding community flood resilience is a lack of an empirically validated measure of it. To fill this gap, the Zurich Flood Resilience Alliance developed an approach to test and validate a measure of community flood resilience. The approach holistically measures a set of sources of community flood resilience and, when floods occur, it also measures resilient outcomes (level of loss and recovery time). The data is collected and assessed via a web and mobile based measurement tool. Here we report results from data collected in 118 communities across 9 countries using mixed method data collection approaches. This study represents the first large scale analysis of systemic and replicable flood resilience baseline data. The learnings from the analysis provide insights into sources of community flood resilience as a first step to building an evidence based approach to building effective flood resilience capacity.
KW - Community
KW - Flood resilience
KW - Flood resilience baselines
KW - Measuring and evaluation
UR - http://www.scopus.com/inward/record.url?scp=85070911343&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2019.101257
DO - 10.1016/j.ijdrr.2019.101257
M3 - Article
AN - SCOPUS:85070911343
SN - 2212-4209
VL - 40
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 101257
ER -