Sustainable freight transportation is aimed at reducing environmental emissions and social inequity along with economic inefficiency to drive the business. Lack of a continuous sustainability assessment and monitoring tool increases the reluctance of freight transporters to adopt world-class sustainability practices. This paper attempts to develop the performance index for a sustainable freight transportation system by innovatively integrating the Consensus Model (CM) with the Fuzzy Evidential Reasoning Algorithm (FERA). A CM has been used to determine the degree of importance of each Key Performance Indicators identified across three dimensions of sustainability. FERA has been used to aggregate subjective judgments with crisp quantitative values. This approach has a unique capability to handle various uncertainties related to impreciseness in decision-making. This study has demonstrated the use of an integrated approach for developing a performance index of the freight transportation system. Sensitivity Analysis of the model provides logical inferences and an understanding of the robustness of the model outputs. It can be interpreted from the results of the study that the firms with higher profitability in the market are focusing more on making their operations sustainable. A proportionate approach of firms towards the economic, environment, and societal well-being, may assist in achieving higher sustainability.

中文翻译：

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可持续货运的绩效衡量：共识模型和 FERA 方法

可持续货运旨在减少环境排放和社会不平等以及推动业务发展的经济效率低下。缺乏持续的可持续性评估和监测工具，增加了货运商采用世界级可持续性实践的意愿。本文试图通过创新性地将共识模型 (CM) 与模糊证据推理算法 (FERA) 相结合来开发可持续货运系统的性能指标。CM 已被用于确定在可持续性的三个维度中确定的每个关键绩效指标的重要性程度。口交已被用于汇总具有清晰定量值的主观判断。这种方法具有处理与决策不精确相关的各种不确定性的独特能力。本研究证明了使用综合方法来制定货运系统的绩效指标。模型的敏感性分析提供了逻辑推论和对模型输出稳健性的理解。从研究结果可以看出，市场上盈利能力较高的公司更注重使其运营可持续。公司对经济、环境和社会福祉采取相称的方法可能有助于实现更高的可持续性。模型的敏感性分析提供了逻辑推论和对模型输出稳健性的理解。从研究结果可以看出，市场上盈利能力较高的公司更注重使其运营可持续。公司对经济、环境和社会福祉采取相称的方法可能有助于实现更高的可持续性。模型的敏感性分析提供了逻辑推论和对模型输出稳健性的理解。从研究结果可以看出，市场上盈利能力较高的公司更注重使其运营可持续。公司对经济、环境和社会福祉采取相称的方法可能有助于实现更高的可持续性。