| Autor: |
Xunqian Xu, Siwen Wang, Zhongbao Du, Hui Rong, Qi Li, Tao Wu, Shue Li, Jiefei Zheng |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Developments in the Built Environment, Vol 20, Iss , Pp 100553- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2666-1659 |
| DOI: |
10.1016/j.dibe.2024.100553 |
| Popis: |
Selecting appropriate pavement maintenance strategies can enhance resource efficiency, reduce environmental pollution, prolong road lifespan, and improve societal sustainability. Currently, most models, which selecting pavement maintenance options, exhibit high subjectivity and low reliability. This study employs an innovative probabilistic linguistic multi-attribute decision-making model basing on the quantum cognitive theory. Therefore, the model focuses on expert decision-making groups for pavement maintenance strategies. It considers the trust networks within the decision-making process, as well as the sequential and interference effects arising from experts' belief biases and behavioral interactions. By doing so, it facilitates a more scientific selection of optimal strategies among multiple maintenance options. The proposed method has been validated through practical case studies of road segments, and its scientific validity and effectiveness have been further corroborated through sensitivity analysis. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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