|其他題名:||Vulnerability and resilience in transportation and logistics during COVID-19|
Transportation and logistics
Abstract The outbreak of a pandemic usually results in a severe impact on transportation and logistics. However, despite its recognized importance, there is a dearth of information detailing how a pandemic influences the operation of transportation and logistics, as well as how to deal with such an impact. Hence, this study aims to utilize text mining to extract valuable COVID-19 practical cases in order to identify the vulnerability and resilience issues related to transportation and logistics. The first step was to collect real-life transport-logistics cases under the COVID-19 pandemic and then investigate the vulnerability and resilience of transportation and logistics through text mining. The next step was to explore the findings related to vulnerability and resilience in terms of different areas, organizations, and transport-logistics types. The final step was to develop risk management strategies for transportation and logistics during the COVID-19 pandemic based on the analytical results of text mining. In practice, the research results can be viewed as a reference for transport-logistics stakeholders for risk mitigation. In an academic situation, this serves as a pioneering study in the field of vulnerability and resilience related to transportation and logistics during the COVID-19 pandemic.
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