Investigating how COVID-19 has influenced Liquefied Natural Gas (LNG) is significant for benefits evaluation for shipping companies and safety management for sustainable LNG shipping in case of accidents. This paper proposes a quantitative method to model the impact of COVID-19 on global LNG shipping efficiency based on the spatiotemporal characteristics of behavior mining for LNG ships. The time cost for LNG carriers serving inside LNG terminals is calculated based on the status of LNG carriers specifically based on arrival and departure times. Then, the time series analysis method is employed to extract the statistical characteristics of the COVID-19 severity index and time cost for LNG carriers inside LNG terminals. Finally, the impact of COVID-19 on global LNG shipping is explored through the Vector Autoregressive Model (VAR) combined with the sliding window. The results demonstrate that the COVID-19 pandemic has a certain influence on the service time for LNG carriers with time lags worldwide. The impact is spatial heterogeneity on a large scale or small scale across global, countries, and trading terminals. It can be used for decision-making in energy safety and LNG intelligent shipping management under unexpected global public health events in the future. The results provide support for intelligent decision-making for safety management under unexpected public health events, such as reducing the seafarer’s explosion to risk events and taking efficient actions to ensure the shipping flow to avoid the energy supply shortage.
Quantitative analysis of the efficiency dynamics of global liquefied natural gas shipping under COVID-19
2024
Article (Journal)
Electronic Resource
Unknown
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