Community Structure and Resilience of the City Logistics Networks in China

Jun-Chao Ma, Zhi-Qiang Jiang (), Yin-Jie Ma and Yue-Hua Dai
Additional contact information
Jun-Chao Ma: School of Business and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China
Zhi-Qiang Jiang: School of Business and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China
Yin-Jie Ma: School of Business and Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China
Yue-Hua Dai: Shanghai Development Strategy Research Institute, Shanghai 200032, China

Mathematics, 2023, vol. 11, issue 20, 1-15

Abstract: 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.

Keywords: city logistics network; complex network; community structure; network resilience (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/20/4352/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/20/4352/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:20:p:4352-:d:1263432

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().