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Enhancing Regional Analysis With The Delphi Method

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  • Mark M. Miller

    (University of Southern Mississippi)

Abstract

Delphi methodology has been employed since the 1950s in a wide range of fields and applications, typically as an alternative to quantitative modeling and analysis. Based on the author's experience in urban planning and economic development applications, this technique can also appropriately and usefully serve as a complement to quantitative regional analysis. The appropriate application of Delphi methodology in this regard can address a number of important concerns in regional planning analysis, including how to effectively incorporate a qualitative dimension into quantitative data, how to most efficiently utilize scarce data collection and analysis resources, and how to turn data into "usable knowledge" for planning decision makers. In this way, Delphi methodology may provide an effective means of bridging the gap that commonly exists between regional planning analysis and its policy applications. Two case studies are provided, illustrating the practical application of this technique in a regional science context.

Suggested Citation

  • Mark M. Miller, 1993. "Enhancing Regional Analysis With The Delphi Method," The Review of Regional Studies, Southern Regional Science Association, vol. 23(2), pages 191-212, Fall.
    • Handle: RePEc:rre:publsh:v23:y:1993:i:2:p:191-212
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    References listed on IDEAS

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    1. George Winter & Kisan Gunjal, 1986. "Computerized Delphi: An Application to Quota Value Determination in the Quebec Dairy Industry," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 34(3), pages 417-431, November.
    2. Ian Masser & Paul Foley, 1987. "Delphi Revisited: Expert Opinion in Urban Analysis," Urban Studies, Urban Studies Journal Limited, vol. 24(3), pages 217-225, June.
    3. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
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    Cited by:

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    2. A. Salehnasab & J. Feghi & A. Danekar & J. Soosani & A. Dastranj, 2016. "Forest park site selection based on a Fuzzy analytic hierarchy process framework (Case study: the Galegol Basin, Lorestan province, Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 62(6), pages 253-263.
    3. Kambiz Abdi & Mahdi Talebpour & Jami Fullerton & Mohammad Javad Ranjkesh & Hadi Jabbari Nooghabi, 2018. "Converting sports diplomacy to diplomatic outcomes: Introducing a sports diplomacy model," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 21(4), pages 365-381, December.
    4. Hsin-Ke Lu & Sung-Chun Tsai & Peng-Chun Lin & Kuo-Chung Chu & Alexander N. Chen, 2020. "Toward a New Real-Time Approach for Group Consensus: A Usability Analysis of Synchronous Delphi System," Group Decision and Negotiation, Springer, vol. 29(2), pages 345-370, April.

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