Abstract

Disputes are very common and pervasive in brownfield redevelopment projects, in which multiple stakeholders or decision-makers (DMs) strategically interact with each other with a conflict of interest. The preference information of DMs involved plays a vital role in identifying possible outcomes or resolutions for resolving a tough brownfield conflict. In this research, a novel preference ranking technique is purposefully proposed within the graph model for conflict resolution (GMCR) paradigm to effectively and accurately garner DMs’ actual preferences, in which states are ranked according to their similarities and closeness to the most and least preferred states instead of subjective option statements or weights in traditional preference ranking methods. Finally, a real-world brownfield conflict which occurred in China is utilized to show how the proposed preference ranking method can be applied for conveniently obtaining the true preference information of DMs and strategically determining the equilibria of a given dispute. The case study indicates that the novel preference elicitation approach is more objective and reasonable than the traditional option prioritization method. Moreover, there exists an equilibrium which can provide strategic advice and meaningful insights for addressing the brownfield conflict.

Highlights

  • Brownfields refer to idled, vacant, abandoned, or underused industrial and commercial properties in urban areas which may be previously contaminated by chemical substances or toxic pollutants [1,2,3]

  • local government (LG) had three options: (1) accelerate the land remediation project including environmental quality monitoring around Changzhou Foreign Languages School (CFLS); (2) transfer students at CFLS to a project including environmental quality monitoring around CFLS; (2) transfer students at CFLS to a safe place temporarily to prevent them from being affected by air contamination, which would indicate safe place temporarily to prevent them from being affected by air contamination, which would that the environment around CFLS was severely polluted; (3) choose to delay

  • To demonstrate the advantage of the novel option weighing approach developed in this research, To demonstrate the advantagemethod of the novel option weighingfor approach in this research, the traditional option prioritization was firstly employed eliciting developed the preference information the traditional option prioritization method was firstly employed for eliciting the preference of LG and the public in the brownfield conflict

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Summary

Introduction

Brownfields refer to idled, vacant, abandoned, or underused industrial and commercial properties in urban areas which may be previously contaminated by chemical substances or toxic pollutants [1,2,3]. There are two types of methodologies which can be employed for modeling and analyzing brownfield conflicts: the graph model for conflict resolution (GMCR), and conflict analysis approaches based on classical game theory. A novel option weighing approach is proposed within the GMCR methodology for eliciting the true preference information of DMs involved in brownfield conflicts. The proposed preference ranking technique is utilized to identify the actual preference of the local government and public in the brownfield conflict which occurred in China on 20 April 2016, which could provide more strategic insights for solving the land pollution dispute. A novel option weighing approach is developed for identifying the true preference information of DMs, followed by its detailed procedure.

Preference Ranking Methods Based on GMCR
The Use of GMCR in Brownfield Conflicts
Graph Model and Traditional Option Prioritization Approach
A Novel Option Weighing Technique for Preference Ranking
Conflict Modeling
Transfer
Preference Ranking
Preference Ranking Using Traditional Option Prioritization
Preference Ranking Using the Novel Option Weighing Approach
Stability Analyses
Conclusions
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