An empirical analysis of freight mode choice factors amid the COVID-19 outbreak

Vipulesh Shardeo, Jitender Madaan, F. Chan
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引用次数: 1

Abstract

PurposeThe COVID-19 has affected the whole world and forced countries to impose lockdowns and restrict travel and transportation. This was followed by different countries formulating different policies, and when transportation resumed, there were some restrictions. Such strategies forced transporters to rethink mode choice decision making for freight transportation. The purpose of this study is to identify and rank the factors affecting freight transport mode choice decisions considering the spread of COVID-19 outbreak.Design/methodology/approachInitially, the factors affecting the mode choice decisions for freight transportation amid the COVID-19 outbreak have been extracted from a literature survey and group discussion with experts. Further, this paper employs the integration of grey-Decision making trial and evaluation laboratory (DEMATEL) with fuzzy Best Worst Method to analyze the identified factors and their sub-factors. The model's robustness and feasibility were then tested using sensitivity analysis.FindingsThe findings of the study showed that Disaster Characteristics and Operations Factors are the most and least influential factors, respectively. Panic, Travel restrictions, Border restrictions, Severity, and Mortality rate are the top five ranked sub-factors. Panic, Compliance to Social distancing, and Passenger and Freight integration are among the new sub-factors proposed. In the current circumstances, these sub-factors are crucial and relevant. In addition, various recommendations are offered to improve transportation services while guaranteeing safety, such as promoting passenger and freight integration, lowering the panic level, developing dynamic rules based on region characteristics, and so on. The study's findings will help practitioners and politicians reformulate the existing transportation infrastructure in the event of disease outbreaks.Research limitations/implicationsThe demographic context of experts, is one of the study's limitations. Only experts from the Indian subcontinent were considered in this study. In addition, future study work can be based on a comparison of the outcomes from various Multi-Criteria Decision Making techniques.Originality/valueThe present research work differentiates itself through the analysis of mode choice factors considering the ongoing pandemic across the globe. The results emanated from the study can guide the concerned stakeholders to make better decisions.
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新冠肺炎疫情下货运模式选择因素实证分析
新冠肺炎疫情影响全球,各国纷纷采取封锁措施,限制旅行和交通。随后,不同的国家制定了不同的政策,当交通恢复时,也有一些限制。这些策略迫使运输商重新思考货运模式的选择决策。本研究的目的是在考虑COVID-19疫情蔓延的情况下,识别影响货运方式选择决策的因素并对其进行排序。设计/方法/方法首先,从文献调查和专家小组讨论中提取了COVID-19疫情期间影响货运模式选择决策的因素。在此基础上,采用灰色决策试验与评价实验室(DEMATEL)相结合的模糊最优最差法对识别出的因素及其子因素进行分析。利用敏感性分析对模型的稳健性和可行性进行了检验。研究结果表明,灾害特征和操作因素分别是影响最大和最小的因素。恐慌、旅行限制、边境限制、严重性和死亡率是排名前五的子因素。恐慌、遵守社交距离和客货一体化是提出的新子因素。在当前情况下,这些子因素是至关重要和相关的。提出了在保证安全的同时提高运输服务水平的建议,如促进客货一体化、降低恐慌程度、制定基于区域特征的动态规则等。这项研究的发现将有助于从业者和政治家在疾病爆发时重新规划现有的交通基础设施。研究的局限性/意义专家的人口背景是该研究的局限性之一。这项研究只考虑了来自印度次大陆的专家。此外,未来的研究工作可以基于各种多标准决策技术的结果比较。独创性/价值目前的研究工作通过分析模式选择因素来区分自己,考虑到全球范围内正在发生的大流行。研究结果可以指导相关利益相关者做出更好的决策。
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