文献类型：期刊文献

英文题名：Community Structure and Resilience of the City Logistics Networks in China

作者：Ma, Jun-Chao[1,2,3];Jiang, Zhi-Qiang[1,2];Ma, Yin-Jie[1,2];Dai, Yue-Hua[4]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China;[3]Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland;[4]Shanghai Dev Strategy Res Inst, Shanghai 200032, Peoples R China

年份：2023

卷号：11

期号：20

外文期刊名：MATHEMATICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001093558100001)】；

基金：The authors are grateful to Shanghai Yunyou Logistics Company for providing the data sets and the anonymous referees for valuable suggestions.

语种：英文

外文关键词：city logistics network; complex network; community structure; network resilience

摘要：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.