قارن الطرق

	Baseline Resilience Indicators for Communities	Community Disaster Resilience Index
المجال	Disaster Studies	Disaster Studies
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	2010	2012
صاحب الطريقة	Susan L. Cutter, Christopher G. Burton & Christopher T. Emrich	Jonas Joerin, Rajib Shaw, Yukiko Takeuchi & Ramasamy Krishnamurthy
النوع	Composite indicator pipeline for inherent community resilience	Survey-based weighted composite index of community resilience
المصدر التأسيسي	Cutter, S. L., Burton, C. G., & Emrich, C. T. (2010). Disaster Resilience Indicators for Benchmarking Baseline Conditions. Journal of Homeland Security and Emergency Management, 7(1), Article 51.	Joerin, J., Shaw, R., Takeuchi, Y., & Krishnamurthy, R. (2012). Action-oriented resilience assessment of communities in Chennai, India. Environmental Hazards, 11(3), 226-241.
الأسماء البديلة	BRIC Resilience Index, BRIC Index, Community Resilience Indicator Index	CDRI, Climate Disaster Resilience Index, Community Resilience Index
ذات صلة	3	3
الملخص	The Baseline Resilience Indicators for Communities (BRIC) is a composite-index method, introduced by Susan Cutter, Christopher Burton, and Christopher Emrich in 2010, for benchmarking the inherent, pre-event resilience of places to hazards and disasters. Rather than measuring how a community actually performed after a specific event, BRIC measures the standing conditions — social, economic, community-capital, institutional, infrastructural, and environmental — that theory and evidence link to a community's capacity to prepare for, absorb, and recover from shocks. Indicators are normalized, sign-corrected so that higher always means more resilient, averaged within each dimension into subindices, and summed into a single comparable score for every place. The 2014 refinement standardized the dimensions and demonstrated the index across all U.S. counties, making BRIC one of the most widely used baseline resilience metrics in disaster studies.	The Community Disaster Resilience Index (CDRI) is a survey-based, multi-level composite-index method for assessing the resilience of communities to disasters, developed in the action-oriented form by Jonas Joerin, Rajib Shaw, Yukiko Takeuchi, and Ramasamy Krishnamurthy and applied in Chennai, India. CDRI decomposes resilience into a hierarchy: a small set of dimensions (commonly physical, social, economic, institutional, and natural), each split into parameters, each measured by several variables scored on a Likert scale. Variables are combined into parameter scores, parameters into dimension scores, and dimensions into an overall index, with weights typically elicited from stakeholders or experts. Unlike secondary-data indices, CDRI is built to be participatory and diagnostic — its purpose is to reveal which dimension of resilience is weakest in a given community so that action can be targeted there.