방법 비교

	Livelihood Vulnerability Index	Delphi Environmental Foresight
분야	Environmental Sociology	Environmental Sociology
계열	MCDM	Process / pipeline
기원 연도	2009	1999
창시자	Micah B. Hahn, Anne M. Riederer & Stanley O. Foster	Gene Rowe & George Wright (synthesizing the RAND Delphi tradition)
유형	Composite indicator of household climate vulnerability	Iterative anonymous expert-elicitation pipeline with controlled feedback
원전	Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change-A case study in Mozambique. Global Environmental Change, 19(1), 74-88.	Rowe, G., & Wright, G. (1999). The Delphi technique as a forecasting tool: issues and analysis. International Journal of Forecasting, 15(4), 353-375.
별칭	LVI, Hahn Livelihood Vulnerability Index, LVI-IPCC, Composite Livelihood Vulnerability Assessment	Environmental Delphi, Policy Delphi, Delphi Expert Elicitation, Iterative Expert Consensus Survey
관련	3	3
요약	The Livelihood Vulnerability Index (LVI) is a composite-indicator method for assessing the vulnerability of households and communities to climate variability and change, developed by Micah Hahn, Anne Riederer and Stanley Foster in a 2009 case study in Mozambique. It is built from household survey data organized into major components — typically socio-demographic profile, livelihood strategies, social networks, health, food, water, and exposure to natural disasters and climate variability — each composed of standardized sub-indicators. These are normalized to a common scale, averaged into sub-components and weighted major components, and aggregated into an overall index. A companion formulation, the LVI-IPCC, reorganizes the same indicators into the Intergovernmental Panel on Climate Change's contributing factors of exposure, sensitivity, and adaptive capacity, offering a pragmatic, data-driven way to compare vulnerability across places and to target adaptation.	The Delphi method is a structured technique for aggregating expert judgment about uncertain or future-oriented questions through several rounds of anonymous, individually completed surveys with controlled feedback between rounds. As distilled in Rowe and Wright's 1999 analysis, its defining features are anonymity, iteration, controlled feedback of the group's responses, and statistical summary of the panel's collective view. Applied to environmental foresight, Delphi is used to elicit and synthesize expert opinion on questions where hard data are sparse or absent — the timing of ecological thresholds, the plausibility of emerging risks, the priority of research needs, or the likely effectiveness of policy options. By letting experts revise their judgments in light of the anonymized group response, Delphi seeks reasoned convergence while filtering out the social pressures of face-to-face committees.