Purpose

The governments of different nations implemented various policy measures in response to the COVID-19 outbreak. These policy measures had a negative impact towards freight transportation. Further, the shock and ripple effect on the other supply chain complicates the recovery process of freight transportation. The transformation of freight transportation in the post-COVID-19 world was reported to be unsustainable. Thus, emerged the requirement to formulate the recovery measures in the context of freight transportation. This study aims to identify and model the recovery measures for sustainable freight transportation (SFT).

Design/methodology/approach

In this study, 13 critical recovery measures are established from the literature and finalized with the help of an expert panel. An integrated Grey Decision-Making trial and evaluation laboratory is used to prioritize and establish the cause-effect relationships among the identified critical recovery measures. Further, sensitivity analysis is performed to ensure the robustness of the proposed model.

Findings

The present study reflects that Efficient traffic management (M13), sustainability focused policies (M2), sensitization of stakeholders (M10), financial support (M9) and adoption of 4 R practices (M12) are the top five critical recovery measures for SFT. The results highlight that the transport sector needs to retain the learning from the COVID-19 period to operate under low workforce availability. Further, the emerging economies are suggested to promote local manufacturing to reduce the lead time and risk of unavailability. The study findings reflect that attaining sustainability without considering the social dimension of sustainability is impossible. Also, the results shed light on the controllable and uncontrollable recovery measures.

Originality/value

The findings from the study would assist policymakers and practitioners in re-formulating the recovery measures for freight transportation considering the aspect of sustainability.

中文翻译：

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可持续货运恢复措施分析

目的

各国政府针对 COVID-19 疫情实施了各种政策措施。这些政策措施对货运产生了负面影响。此外，对其他供应链的冲击和连锁反应使货运的恢复过程复杂化。据报道，后 COVID-19 世界的货运转型是不可持续的。于是，就出现了在货运背景下制定恢复措施的要求。本研究旨在识别和模拟可持续货运 (SFT) 的恢复措施。

设计/方法/方法

在这项研究中，从文献中建立了 13 项关键的恢复措施，并在专家小组的帮助下最终确定。集成的灰色决策试验和评估实验室用于确定已识别的关键恢复措施之间的优先顺序并建立因果关系。此外，进行敏感性分析以确保所提出模型的稳健性。

发现

本研究表明，高效交通管理 (M13)、以可持续发展为重点的政策 (M2)、利益相关者的敏感性 (M10)、财政支持 (M9) 和采用 4 R 实践 (M12) 是 SFT 的前五项关键恢复措施。结果强调，运输部门需要保留从 COVID-19 时期的经验教训，以便在劳动力供应不足的情况下运营。此外，建议新兴经济体促进本地制造，以减少交货时间和不可用风险。研究结果表明，在不考虑可持续性的社会层面的情况下实现可持续性是不可能的。此外，结果揭示了可控和不可控的恢复措施。

原创性/价值

研究结果将有助于政策制定者和从业人员在考虑可持续性方面重新制定货运恢复措施。