Resilience Performance Scorecard - (RPS) Methodology
Christopher G. Burton, Bijan Khazai, Johannes Anhorn, Jairo Valcárcel, Diana Contreras
Resilience to natural hazards and disasters is often defined as “the capacity of individuals, communities, organisations, cities, and nations to respond, cope and recover from a disaster”(UNISDR, 2009). Following the axiom that “what gets measured gets managed,” the ability to measure resilience is increasingly being identified as a key step towards earthquake risk reduction. Measuring resilience is difficult, however, and existing quantitative metrics of resilience (often in the form of indicators or composite indicators) suffer from key limitations. For instance, the leading resilience metrics that are currently used in research and for practical applications are uncertain due to data limitations. Most indicator-based methods utilise a broad-brush approach using secondary source census data that may neglect the true underlying drivers (or lack thereof) of resilience within communities. Also, resilience indicators exhibit a large degree of uniformity in index construction approaches that ignore, because of ecological fallacy (Pacione, 2005), the context of the natural hazard or the communities at risk. Such uniformity may result in misleading conclusions if dimensions of resilience are ignored, or if weakly influential dimensions are overrepresented.