Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission
The COVID-19 pandemic had an unprecedented impact on the civil aviation passenger transport industry. This study analyzes the scale change and spatial distribution of the Chinese main air transport network (CMATN) and its role in the early spread of the pandemic using a complex network analysis meth...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/13/2348 |
| _version_ | 1797434124190875648 |
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| author | Min Su Baoyang Hu Yipeng Jiang Zhenchao Zhang Zeyang Li |
| author_facet | Min Su Baoyang Hu Yipeng Jiang Zhenchao Zhang Zeyang Li |
| author_sort | Min Su |
| collection | DOAJ |
| description | The COVID-19 pandemic had an unprecedented impact on the civil aviation passenger transport industry. This study analyzes the scale change and spatial distribution of the Chinese main air transport network (CMATN) and its role in the early spread of the pandemic using a complex network analysis method and econometric model. The result shows that CMATN is mainly located in the economically developed and densely populated central and eastern regions of China. The normalized degree, closeness, and betweenness centralities of CMATN node cities show an overall increasing trend, indicating that the air transport network is constantly improving. There was a significant positive relationship between the centrality of node cities, the duration of the COVID-19 pandemic, and the number of confirmed cases, indicating that air transport networks were crucial in the pandemic’s early spread. Furthermore, social and economic variables such as GDP and population had a significant positive impact on the duration of the pandemic, indicating that higher levels of social and economic development increased the seriousness of the pandemic. Our findings are expected to supplement existing research and serve as a point of reference for pandemic prevention and control. |
| first_indexed | 2024-03-09T10:27:45Z |
| format | Article |
| id | doaj.art-fa31acf3f3df4669a0c111fe74fe4d64 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T10:27:45Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-fa31acf3f3df4669a0c111fe74fe4d642023-12-01T21:35:43ZengMDPI AGMathematics2227-73902022-07-011013234810.3390/math10132348Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic TransmissionMin Su0Baoyang Hu1Yipeng Jiang2Zhenchao Zhang3Zeyang Li4School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, ChinaSchool of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, ChinaSchool of Marine Law and Humanities, Dalian Ocean University, Dalian 116300, ChinaSchool of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, ChinaSchool of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, ChinaThe COVID-19 pandemic had an unprecedented impact on the civil aviation passenger transport industry. This study analyzes the scale change and spatial distribution of the Chinese main air transport network (CMATN) and its role in the early spread of the pandemic using a complex network analysis method and econometric model. The result shows that CMATN is mainly located in the economically developed and densely populated central and eastern regions of China. The normalized degree, closeness, and betweenness centralities of CMATN node cities show an overall increasing trend, indicating that the air transport network is constantly improving. There was a significant positive relationship between the centrality of node cities, the duration of the COVID-19 pandemic, and the number of confirmed cases, indicating that air transport networks were crucial in the pandemic’s early spread. Furthermore, social and economic variables such as GDP and population had a significant positive impact on the duration of the pandemic, indicating that higher levels of social and economic development increased the seriousness of the pandemic. Our findings are expected to supplement existing research and serve as a point of reference for pandemic prevention and control.https://www.mdpi.com/2227-7390/10/13/2348air transport networkCOVID-19complex network theoryspatial distribution |
| spellingShingle | Min Su Baoyang Hu Yipeng Jiang Zhenchao Zhang Zeyang Li Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission Mathematics air transport network COVID-19 complex network theory spatial distribution |
| title | Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission |
| title_full | Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission |
| title_fullStr | Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission |
| title_full_unstemmed | Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission |
| title_short | Relationship between the Chinese Main Air Transport Network and COVID-19 Pandemic Transmission |
| title_sort | relationship between the chinese main air transport network and covid 19 pandemic transmission |
| topic | air transport network COVID-19 complex network theory spatial distribution |
| url | https://www.mdpi.com/2227-7390/10/13/2348 |
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