手法を比較

	Delphi Environmental Foresight	Participatory Scenario Planning
分野	Environmental Sociology	Environmental Sociology
系統	Process / pipeline	Process / pipeline
提唱年	1999	2003
提唱者	Gene Rowe & George Wright (synthesizing the RAND Delphi tradition)	Garry D. Peterson, Graeme S. Cumming & Stephen R. Carpenter
種類	Iterative anonymous expert-elicitation pipeline with controlled feedback	Multi-stakeholder pipeline for exploring plausible environmental futures
原典	Rowe, G., & Wright, G. (1999). The Delphi technique as a forecasting tool: issues and analysis. International Journal of Forecasting, 15(4), 353-375.	Peterson, G. D., Cumming, G. S., & Carpenter, S. R. (2003). Scenario Planning: a Tool for Conservation in an Uncertain World. Conservation Biology, 17(2), 358-366.
別名	Environmental Delphi, Policy Delphi, Delphi Expert Elicitation, Iterative Expert Consensus Survey	Exploratory Scenario Planning, Participatory Futures Scenarios, Stakeholder Scenario Development, Social-Ecological Scenario Planning
関連	3	3
概要	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.	Participatory scenario planning is a structured, multi-stakeholder method for exploring how a social-ecological system might unfold under irreducible uncertainty, rather than predicting a single most-likely future. Drawing on the scenario tradition formalized for conservation by Peterson, Cumming and Carpenter in 2003, it brings together researchers, managers, and affected communities to identify the forces driving change, isolate the critical uncertainties that matter most, and build a small set of contrasting yet plausible and internally consistent narratives. Candidate policies are then stress-tested across these alternative futures to find strategies that remain acceptable no matter which future arrives. Because the scenarios are co-produced, the method also builds shared understanding and social capital among participants who may begin with divergent interests.