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Recognizing Uncertainty and Linked Decisions in Public Participation: A New Framework for Collaborative Urban Planning

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  • Arnab Chakraborty

Abstract

To promote collaboration, urban planners need to devise processes that consider stakeholders' interests not as an afterthought but as an integral component of decision analysis. In this paper, I introduce and illustrate a framework that attempts to do so using a long‐running road extension planning process in Urbana, Illinois, USA. Drawing upon archival research, stakeholder reactions, and my experiences as an observer, the case study demonstrates how assumptions in problem framing and analysis and a focus on hardened positions can lead to disagreements. Using a stylized scenario exercise, I then present an alternative framework that can explicitly recognize the uncertainties and linked decisions involved in the analysis and allow the stakeholders to expound their concerns. A test of the principles shows that by bringing out the basic objectives of stakeholders and considering a wider range of choices and uncertainties, the framework can help identify underlying areas of agreement. I conclude that recognizing limitations of analytical methods and systematically bringing stakeholder values to a planning process can help improve its efficacy. Copyright © 2012 John Wiley & Sons, Ltd.

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  • Arnab Chakraborty, 2012. "Recognizing Uncertainty and Linked Decisions in Public Participation: A New Framework for Collaborative Urban Planning," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(2), pages 131-148, March.
    • Handle: RePEc:bla:srbeha:v:29:y:2012:i:2:p:131-148
    DOI: 10.1002/sres.2102
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    References listed on IDEAS

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    1. Arnab Chakraborty & Nikhil Kaza & Gerrit-Jan Knaap & Brian Deal, 2011. "Robust Plans and Contingent Plans," Journal of the American Planning Association, Taylor & Francis Journals, vol. 77(3), pages 251-266.
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    3. Justus Uitermark & Jan Willem Duyvendak, 2008. "Citizen Participation in a Mediated Age: Neighbourhood Governance in The Netherlands," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 32(1), pages 114-134, March.
    4. de Chazal, Jacqueline, 2010. "A systems approach to liveability and sustainability: Defining terms and mapping relationships to link desires with ecological opportunities and constraints," Research Reports 95056, Australian National University, Environmental Economics Research Hub.
    5. Munda, Giuseppe, 2004. "Social multi-criteria evaluation: Methodological foundations and operational consequences," European Journal of Operational Research, Elsevier, vol. 158(3), pages 662-677, November.
    6. Peter Loukopoulos & Roland W Scholz, 2004. "Sustainable Future Urban Mobility: Using ‘Area Development Negotiations’ for Scenario Assessment and Participatory Strategic Planning," Environment and Planning A, , vol. 36(12), pages 2203-2226, December.
    7. Grimble, Robin & Wellard, Kate, 1997. "Stakeholder methodologies in natural resource management: a review of principles, contexts, experiences and opportunities," Agricultural Systems, Elsevier, vol. 55(2), pages 173-193, October.
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    Cited by:

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    2. Etiënne Rouwette & Inge Bleijenbergh & Jac Vennix, 2016. "Group Model-Building to Support Public Policy: Addressing a Conflicted Situation in a Problem Neighbourhood," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(1), pages 64-78, January.
    3. Kathryn Hegarty & Sarah Holdsworth, 2015. "Weaving complexity and accountability: approaches to higher education learning design (HELD) in the built environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(2), pages 239-258, April.
    4. Gábor Király & Alexandra Köves & György Pataki & Gabriella Kiss, 2016. "Assessing the Participatory Potential of Systems Mapping," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(4), pages 496-514, July.
    5. Fachao Li & Chenxia Jin & Ying Jing & Marzena Wilamowska‐Korsak & Zhuming Bi, 2013. "A Rough Programming Model Based on the Greatest Compatible Classes and Synthesis Effect," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 229-243, May.

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