Exploring a city's potential low carbon futures using Delphi methods: some preliminary findings
This paper describes a Delphi methodology to generate a number of broadly consensual low carbon scenarios for 2050. This approach to ‘creating’ the future, rather than predicting, is useful when dealing with profound and uncertain change over a long period of time and is therefore suited to carbon m...
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Veröffentlicht in: | Journal of environmental planning and management 2012-10, Vol.55 (8), p.1022-1046 |
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creator | Bailey, Rosemary Longhurst, James W.S Hayes, Enda T Hudson, Lorraine Ragnarsdottir, Kristin Vala Thumim, Joshua |
description | This paper describes a Delphi methodology to generate a number of broadly consensual low carbon scenarios for 2050. This approach to ‘creating’ the future, rather than predicting, is useful when dealing with profound and uncertain change over a long period of time and is therefore suited to carbon management. The methodology is described, and the first stage of the consultation process is discussed with reference to its application in the UK city region of Bristol. Findings from the first round have resulted in the identification of seven working scenarios and patterns in the responses of individuals from different backgrounds, suggesting that strong world-views and agendas are present within groups. Subsequent rounds of a questionnaire and a backcasting workshop will refine these working scenarios and identify pathways to achieve them. |
doi_str_mv | 10.1080/09640568.2011.635192 |
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source | PAIS Index; Taylor & Francis Journals Complete |
subjects | Air pollution Carbon carbon management Cities Cities and towns Consensus Consultation Dealing Delphi Delphi method Delphi technique Emissions control Environmental policy Environmental protection Joint consultation low carbon futures Management Methodology prediction Questionnaires scenarios Studies United Kingdom Urban areas Workshops |
title | Exploring a city's potential low carbon futures using Delphi methods: some preliminary findings |
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