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A Two-Stage Decision Framework for Resolving Brownfield Conflicts

Author

Listed:
  • Qingye Han

    (School of Management, Northwestern Polytechnical University, Xi’an 710100, China)

  • Yuming Zhu

    (School of Management, Northwestern Polytechnical University, Xi’an 710100, China)

  • Ginger Y. Ke

    (Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, NL A1B 3X9, Canada)

  • Hongli Lin

    (School of Management, Northwestern Polytechnical University, Xi’an 710100, China)

Abstract

Based on the Graph Model of Conflict Resolution (GMCR), a two-stage decision framework is developed to reveal the essence of brownfield incidents and facilitate the resolution of brownfield conflicts caused by the incidents. More particularly, the forward GMCR is utilized in Stage I, the negotiation stage, to simulate the evolution of a Brownfield Conflict (BC) and predict its potential resolution via stability analysis. If no acceptable equilibrium can be obtained, the BC progresses into Stage II, the third-party-intervention stage, where the inverse GMCR is used to assist a third party in intervening the conflict to achieve a desirable outcome. To illustrate the practicality of this framework, a recent BC that occurred in Changzhou, China, is taken as a case study. Invaluable insights are provided through the computation and investigation of the corresponding preference relationships.

Suggested Citation

  • Qingye Han & Yuming Zhu & Ginger Y. Ke & Hongli Lin, 2019. "A Two-Stage Decision Framework for Resolving Brownfield Conflicts," IJERPH, MDPI, vol. 16(6), pages 1-19, March.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:6:p:1039-:d:216355
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    References listed on IDEAS

    as
    1. Han, Qingye & Zhu, Yuming & Ke, Ginger Y. & Hipel, Keith W., 2018. "An ordinal classification of brownfield remediation projects in China for the allocation of government funding," Land Use Policy, Elsevier, vol. 77(C), pages 220-230.
    2. Luai Hamouda & D. Marc Kilgour & Keith W. Hipel, 2004. "Strength of Preference in the Graph Model for Conflict Resolution," Group Decision and Negotiation, Springer, vol. 13(5), pages 449-462, September.
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    4. Jing Yu & Ling-Ling Pei, 2018. "Investigation of a Brownfield Conflict Considering the Strength of Preferences," IJERPH, MDPI, vol. 15(2), pages 1-11, February.
    5. Chunhui Liu & Weixuan Song & Chen Zhou, 2017. "Unsuccessful Urban Governance of Brownfield Land Redevelopment: A Lesson from the Toxic Soil Event in Changzhou, China," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
    6. Wang, Junjie & Hipel, Keith W. & Fang, Liping & Dang, Yaoguo, 2018. "Matrix representations of the inverse problem in the graph model for conflict resolution," European Journal of Operational Research, Elsevier, vol. 270(1), pages 282-293.
    7. Takehiro Inohara & Keith W. Hipel, 2008. "Coalition analysis in the graph model for conflict resolution," Systems Engineering, John Wiley & Sons, vol. 11(4), pages 343-359, December.
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    Cited by:

    1. Shinan Zhao & Haiyan Xu, 2019. "A Novel Preference Elicitation Technique Based on a Graph Model and Its Application to a Brownfield Redevelopment Conflict in China," IJERPH, MDPI, vol. 16(21), pages 1-14, October.
    2. Qingye Han & Yan Qin & Heng Zhang & Ginger Y. Ke, 2024. "Public Private Partnership to Brownfield Remediation Projects in China: A Combined Risk Evaluation Approach," Land, MDPI, vol. 13(1), pages 1-18, January.

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