Affiliations: [a] Department of Construction Management, Dalian University of Technology, Dalian City, Liaoning Province, China
| [b] School of Business, Dalian University of Technology, Panjin City, Liaoning Province, China
Correspondence:
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Corresponding author. Li Ma and Xuhui Cong, Department of Construction Management, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, P.R.C. E-mails: [email protected] (L. Ma) and [email protected] (X. Cong).
Abstract: To solve the problem of Social Stability Risk (SSR) assessment for Not In My Back Yard (NIMBY) major projects, first, we established an SSR assessment index system in terms of legality, rationality, feasibility, and controllability. Then, we used the cloud model to determine the value of SSR assessment indicator and the Ordered Weighted Averaging (OWA) operator to weight SSR indicators. Finally, the SSR levels of NIMBY major projects were measured by the matter-element model. The case study shows that the SSR indicator system and assessment model developed in this work can assess the SSR of NIMBY major projects and provide a reference for the investment decisions of government departments.
Keywords: NIMBY, major projects, social stability risk, assessment
