An analysis of the Chinese scheduled freighter network during the first year of the COVID-19 pandemic

COVID-19 caused the vast majority of passenger flights to be grounded, but the crisis raised the importance of the network of dedicated cargo flights and, therefore, interest in its development. This paper aims to evaluate the Chinese scheduled freighter network (CSFN) via its topological properties and to explore its changes following the COVID-19 pandemic. Using spatial analysis with the complex network theory (CNT), the paper found that the CSFN displays small-world and scale-free network properties, similar to that of air passenger network. Hangzhou, Shenzhen and Nanjing are the dominant national hubs in the CSFN because they host the headquarters of many e-commerce giant enterprises and have relatively underutilized airport capacities. The CSFN has improved since the COVID-19 pandemic, with increased network average degree, clustering coefficient, and closeness, and reduced average path. These improvements were mainly driven by major hub cities whose centralities had been strengthened with more route connections. Since China's air passenger traffic had quickly restored in the second half of 2020, we argue that the changes in the CSFN during COVID-19 were unlikely to be a result of the sub-stitution effect between freighter and passenger aircraft. It was more likely a result of the higher air cargo de -mand during the pandemic and airlines' realisation of the importance of freighter operations in China.

Automated summary

This study evaluates the Chinese scheduled freighter network (CSFN) by examining its topological properties and investigates its changes during the COVID-19 pandemic. The CSFN displays small-world and scale-free network properties, with Hangzhou, Shenzhen, and Nanjing as the dominant national hubs. The network has improved during the pandemic, mainly due to major hub cities strengthening their centralities with more route connections.