As pointed out by Kamali, multi-criteria assessment (MCA) studies generally do not evaluate the robustness of the overall MCA outcome to uncertainty regarding scores and weights in such studies the sensitivity analysis is usually addressed in terms of sensitivity of the results to the choice of MCA method. For example, focus on the trade-offs between economic sustainability on one hand, and environmental sustainability and resilience on the other hand. There is usually a trade-off between the different objective functions that can help the decision-maker to choose a particular solution according to the preference of an organisation. Additionally, the compromises between the competing goals of different sustainability categories (environmental, social, and economic) have to be found. The lack of robustness of decisions made in an uncertain project environment raises the risks in decision-making and, accordingly, leads to unreliable solutions negatively affecting the sustainable city development. The results of the study show that, sometimes, small fluctuations in the project factors affect the project selection indicating the possible lack of the robustness of the project decisions. We performed the sensitivity analysis, making it possible to assess the possible changes of the decisions depending on the potential patterns of the decision-makers’ behaviour. The criteria for the assessment were selected according to the principles of sustainability. The assessment was performed from individual investor’s and independent expert’s perspectives. The proposed model was validated on a case study of multiple construction projects. We used the Analytic Hierarchy Process (AHP) and Decision tree methods to model the decision-making process. We addressed this gap through a new model that combines the decision-making process modelling with the AHP method and includes the analysis of model stability concerning stakeholders’ behaviour. However, such an assessment might increase the reliability of the decision-making process. Recent studies generally do not assess the robustness of the decisions regarding the possible changes during the construction project implementation. This research is dedicated to the modelling of decision process occurring during the implementation of construction projects.
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