Development of multi-criteria decision-making framework for selecting a suitable technique for sustainable pavement

Pavement techniques are essential for achieving environmental, economic, and social sustainability. Numerous challenges have emerged associated with pavement techniques, such as evaluation criteria, criteria trade-offs, criteria conflict, and criteria importance classified to the evaluation and selection of pavement techniques under complex multi-criteria decision-making (MCDM) approach. Accompanying the development of pavement technique builds a motivation to achieve the goal of less heating release. No study to date has developed an evaluation framework for selecting the most appropriate pavement technique to be used to achieve environmental, economic, and social sustainability considering a multi-criteria evaluation of pavement techniques and sustainable solutions. In this study, a pavement selection strategy based on a new extension of fuzzy MCDM methods is presented. Two phases are used to develop the methodology. Firstly, the ‘multi evaluation criteria’ and ‘pavement techniques’ are intersected to formulate the evaluation decision matrix. Secondly, the proposed MCDM methods are developed: multi-layer dual hesitant fuzzy weighted zero inconsistency (DH-FWZIC) to assign weights to the pavement’s evaluation criteria followed by dual hesitant fuzzy decision by opinion score method (DH-FDOSM) for selecting the best pavement technique. Based on 30 criteria, four alternatives namely flexible/asphalt, rigid/concrete, reflective, and evaporative alternatives pavement techniques are evaluated. The findings are as follows: (i) The evaluation criteria for pavement techniques have been consistently weighted using the multi-layer DH-FWZIC method at three layers, and the results show that a region's environment criterion has the highest final weight (0.1215) and the lowest importance value (0.0089) assigned to its wind criterion. (ii) The flexible/asphalt pavement is ranked first among the four pavement techniques with both dual hesitant fuzzy weighted averaging (DHFWA) and dual hesitant fuzzy weighted geometric (DHFWG) operators, according to DH-FDOSM. Meanwhile, the reflective pavement set at the end of the list is ranked fourth as obtained by the DHFWA operator. This escalated to the third rank and moved permeable pavement to the fourth rank as obtained by the DHFWG operator. Furthermore, the sensitivity analysis was used to investigate the robustness of the developed framework by examining the impact of the most important criterion on the ranking results. A comparison study was conducted to compare the weighting and ranking methods with other MCDM approaches. Finally, the outcomes of this study can assist project managers in selecting the most optimal pavement technique. Future researchers can use this study's results as a reference for deep investigation of pavement types under different conditions.

Text FK 2023 22 - Declaration Form.pdf Restricted to Repository staff only Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) Text FK 2023 22 - Full Text.pdf Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) Text FK 2023 22.pdf Restricted to Repository staff only Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) Official URL or Download Paper: http://ethesis.upm.edu.my/id/eprint/18938

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