Community Structure and Resilience of the City Logistics Networks in China
Logistics security, as the lifeline of the economy connecting production, distribution, and consumption, holds a pivotal position in the modern economic system, where any potential threats like natural disasters or cyber attacks could have far-reaching impacts on the overall economy. With a unique l...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/20/4352 |
| _version_ | 1827720543570231296 |
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| author | Jun-Chao Ma Zhi-Qiang Jiang Yin-Jie Ma Yue-Hua Dai |
| author_facet | Jun-Chao Ma Zhi-Qiang Jiang Yin-Jie Ma Yue-Hua Dai |
| author_sort | Jun-Chao Ma |
| collection | DOAJ |
| description | Logistics security, as the lifeline of the economy connecting production, distribution, and consumption, holds a pivotal position in the modern economic system, where any potential threats like natural disasters or cyber attacks could have far-reaching impacts on the overall economy. With a unique large-scale logistics data set, logistics networks between cities in China are constructed. We thus identify communities of cities that have dense logistics connections in these networks. The cities in the communities are found to exhibit strong connections in the economy, resources, and industry. The detected communities are also aligned with the urban agglomerations mentioned in the guidelines reported by the National Development and Reform Commission of China. We further extend our analysis to assess the resilience of the city logistics networks, especially focusing on the influence of community structures. Random and intentional attacks are considered in our resilience analysis. Our results reveal that the city logistics networks are robust to the random attacks and are vulnerable to the intentional attacks on the nodes with dense links between and within communities. Our results not only deepen our understanding of the community structure and resilience of the city logistics networks but also provide insights on how to improve the efficiency and safety of intercity logistics. |
| first_indexed | 2024-03-10T21:04:57Z |
| format | Article |
| id | doaj.art-ab8f8f7fab574319abf5ccc25e7b9012 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T21:04:57Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-ab8f8f7fab574319abf5ccc25e7b90122023-11-19T17:14:47ZengMDPI AGMathematics2227-73902023-10-011120435210.3390/math11204352Community Structure and Resilience of the City Logistics Networks in ChinaJun-Chao Ma0Zhi-Qiang Jiang1Yin-Jie Ma2Yue-Hua Dai3School of Business and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, ChinaSchool of Business and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, ChinaSchool of Business and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, ChinaShanghai Development Strategy Research Institute, Shanghai 200032, ChinaLogistics security, as the lifeline of the economy connecting production, distribution, and consumption, holds a pivotal position in the modern economic system, where any potential threats like natural disasters or cyber attacks could have far-reaching impacts on the overall economy. With a unique large-scale logistics data set, logistics networks between cities in China are constructed. We thus identify communities of cities that have dense logistics connections in these networks. The cities in the communities are found to exhibit strong connections in the economy, resources, and industry. The detected communities are also aligned with the urban agglomerations mentioned in the guidelines reported by the National Development and Reform Commission of China. We further extend our analysis to assess the resilience of the city logistics networks, especially focusing on the influence of community structures. Random and intentional attacks are considered in our resilience analysis. Our results reveal that the city logistics networks are robust to the random attacks and are vulnerable to the intentional attacks on the nodes with dense links between and within communities. Our results not only deepen our understanding of the community structure and resilience of the city logistics networks but also provide insights on how to improve the efficiency and safety of intercity logistics.https://www.mdpi.com/2227-7390/11/20/4352city logistics networkcomplex networkcommunity structurenetwork resilience |
| spellingShingle | Jun-Chao Ma Zhi-Qiang Jiang Yin-Jie Ma Yue-Hua Dai Community Structure and Resilience of the City Logistics Networks in China Mathematics city logistics network complex network community structure network resilience |
| title | Community Structure and Resilience of the City Logistics Networks in China |
| title_full | Community Structure and Resilience of the City Logistics Networks in China |
| title_fullStr | Community Structure and Resilience of the City Logistics Networks in China |
| title_full_unstemmed | Community Structure and Resilience of the City Logistics Networks in China |
| title_short | Community Structure and Resilience of the City Logistics Networks in China |
| title_sort | community structure and resilience of the city logistics networks in china |
| topic | city logistics network complex network community structure network resilience |
| url | https://www.mdpi.com/2227-7390/11/20/4352 |
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