The performance evaluation index system was established on the basis of 4E (Efficiency, Economic, Effectiveness, Equity) theory to improve performance evaluation of Public-Private Partnership Projects for Residential Renovation (4P2R). Moreover, the index weighting model was demonstrated based on Ordered Weighted Averaging (OWA). Finally, the cloud model was used for performance evaluation, through the cloud uncertainty reasoning to determine the quantitative performance evaluation index value, the positive reverse cloud to calculate the qualitative performance evaluation index value, and the normal cloud to measure the project performance. The proof-of-concept application shows that the performance evaluation index system and evaluation model can better identify the deficiencies in the project, and provide targeted improvement measures for similar projects in the future.

PurposeThis study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.Design/methodology/approachThe fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.FindingsResults showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”Originality/valueResults can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

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Sustainable construction is vital for the embodiment of sustainable development, and corporate social responsibility practice is critical for construction firms to realize sustainable construction. However, the link between sustainable construction and corporate social responsibility is still in its infancy, and previous studies have not developed comprehensive methods for evaluating sustainable construction performance. We first established a conceptual corporate social responsibility framework based on the five aspects of sustainable construction: economic, environmental, social, stakeholders, and health and safety. Then, a set of criteria assessing sustainable construction performance was identified through a literature review and interviews with industry practitioners. A questionnaire survey was conducted to collect primary data and identify the significance of the proposed criteria. Furthermore, partial least squares structural equation modeling (PLS-SEM) was used to statistically validate the conceptual model and identify key factors for sustainable construction. The results revealed that health and safety, and environment are the key aspects, while site inspection and audits, providing a healthy and safe working environment, effective emergency management procedures and safety supervision, compliance with environmental laws and regulations, reducing pollution and waste, and corporate environmental management system are critical to achieving sustainable construction. Our study underlines the link between sustainable construction and corporate social responsibility, improves the evaluation accuracy, and provides new guidelines for practical applications.

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