利用量子认知信任网络进行可持续路面维护和修复规划

IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Xunqian Xu , Siwen Wang , Zhongbao Du , Hui Rong , Qi Li , Tao Wu , Shue Li , Jiefei Zheng
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引用次数: 0

摘要

选择适当的路面养护策略可以提高资源利用效率、减少环境污染、延长道路使用寿命并改善社会的可持续发展。目前,大多数选择路面养护方案的模型都表现出主观性强、可靠性低的特点。本研究采用了一种基于量子认知理论的创新型概率语言多属性决策模型。因此,该模型侧重于路面养护战略的专家决策群体。该模型考虑了决策过程中的信任网络,以及专家的信念偏差和行为互动所产生的序列效应和干扰效应。因此,它有助于在多个维护方案中更科学地选择最优策略。所提出的方法已通过路段的实际案例研究得到验证,并通过敏感性分析进一步证实了其科学性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable pavement maintenance and rehabilitation planning using the quantum cognitive trust network
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.
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来源期刊
CiteScore
7.40
自引率
1.20%
发文量
31
审稿时长
22 days
期刊介绍: Developments in the Built Environment (DIBE) is a recently established peer-reviewed gold open access journal, ensuring that all accepted articles are permanently and freely accessible. Focused on civil engineering and the built environment, DIBE publishes original papers and short communications. Encompassing topics such as construction materials and building sustainability, the journal adopts a holistic approach with the aim of benefiting the community.
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