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A platform for research: civil engineering, architecture and urbanism
Evaluating Highway Construction Projects’ Sustainability Using a Multicriteria Group Decision-Making Model Based on Bootstrap Simulation
Sustainable construction has recently been acknowledged as a crucial issue in the construction industry. Developing and using multicriteria evaluation models to prioritize alternative construction projects based on sustainability indicators plays a major role in promoting sustainable construction. Evaluating construction projects according to sustainable development principles is a complicated problem, because the evaluation includes various indicators that have complex interdependences. Moreover, sufficient data is not normally available for the evaluation of construction projects from a sustainability point of view. To overcome these problems, this paper introduces a novel multicriteria group decision-making (MCGDM) model based on bootstrap simulation. The proposed model uses nonparametric bootstrap simulation to address aggregating inadequate experts’ opinions and employs decision-making trial and evaluation laboratory (DEMATEL) and fuzzy cognitive map (FCM) to provide the relative importance of evaluation criteria. Furthermore, based on the positive-ideal, negative-ideal, and closeness coefficient in interval intuitionistic trapezoidal fuzzy sets, a novel ranking score is proposed to compute the sustainability level of the construction projects. The proposed model is employed in a case study for evaluating and prioritizing highway construction projects by considering sustainability indicators. The main contribution of this paper is the development of a novel and applicable mathematical model to assist decision makers (DMs) in evaluating various alternative projects and making the optimum decision based on an integrated consideration of economic, environmental, and social sustainability indicators.
Evaluating Highway Construction Projects’ Sustainability Using a Multicriteria Group Decision-Making Model Based on Bootstrap Simulation
Sustainable construction has recently been acknowledged as a crucial issue in the construction industry. Developing and using multicriteria evaluation models to prioritize alternative construction projects based on sustainability indicators plays a major role in promoting sustainable construction. Evaluating construction projects according to sustainable development principles is a complicated problem, because the evaluation includes various indicators that have complex interdependences. Moreover, sufficient data is not normally available for the evaluation of construction projects from a sustainability point of view. To overcome these problems, this paper introduces a novel multicriteria group decision-making (MCGDM) model based on bootstrap simulation. The proposed model uses nonparametric bootstrap simulation to address aggregating inadequate experts’ opinions and employs decision-making trial and evaluation laboratory (DEMATEL) and fuzzy cognitive map (FCM) to provide the relative importance of evaluation criteria. Furthermore, based on the positive-ideal, negative-ideal, and closeness coefficient in interval intuitionistic trapezoidal fuzzy sets, a novel ranking score is proposed to compute the sustainability level of the construction projects. The proposed model is employed in a case study for evaluating and prioritizing highway construction projects by considering sustainability indicators. The main contribution of this paper is the development of a novel and applicable mathematical model to assist decision makers (DMs) in evaluating various alternative projects and making the optimum decision based on an integrated consideration of economic, environmental, and social sustainability indicators.
Evaluating Highway Construction Projects’ Sustainability Using a Multicriteria Group Decision-Making Model Based on Bootstrap Simulation
Ghoddousi, Parviz (author) / Nasirzadeh, Farnad (author) / Hashemi, Hassan (author)
2018-07-16
Article (Journal)
Electronic Resource
Unknown
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