Spatial structure of logistics network in Hubei Province based on social network analysis

With the increasing emphasis on the integrated development of regional logistics, research on the spatial structure of regional logistics networks has also become highly valued. Due to Hubei Province’s unique location, the spatial structure of its regional logistics network discussed has strong practical significance. This paper selected data from 17 cities in Hubei Province in 2021, to construct a correlation matrix based on the improved gravity model, and social network analysis was used to analyze the spatial structure characteristics of logistics networks in Hubei Province. The results show that the direct connection between logistics network node cities in Hubei Province is relatively low, presenting a network with a simple structure and good network accessibility; Wuhan, Jingzhou, Suizhou, Xiantao, and Tianmen have strong control over logistics resources of Hubei Province, serving as intermediaries and bridges. Shiyan, Shennongjia, and Xiangyang are at the core of the logistics network spillover relationship; The spillover effect between logistics network blocks is not significant, and logistics exchanges between cities tend to establish collaboration relationships within the same block.

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Publication Details

Journal
ITM Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/itmconf/20257701013
Primary Topic
Spatial and Panel Data Analysis
Type
article
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article

Spatial structure of logistics network in Hubei Province based on social network analysis

Yuhan Li, Yan Li, Rongyan Zhu
ITM Web of Conferences
Spatial and Panel Data Analysis
article

Spatial structure of logistics network in Hubei Province based on social network analysis

Yuhan Li, Yan Li, Rongyan Zhu
article en

Abstract

With the increasing emphasis on the integrated development of regional logistics, research on the spatial structure of regional logistics networks has also become highly valued. Due to Hubei Province’s unique location, the spatial structure of its regional logistics network discussed has strong practical significance. This paper selected data from 17 cities in Hubei Province in 2021, to construct a correlation matrix based on the improved gravity model, and social network analysis was used to analyze the spatial structure characteristics of logistics networks in Hubei Province. The results show that the direct connection between logistics network node cities in Hubei Province is relatively low, presenting a network with a simple structure and good network accessibility; Wuhan, Jingzhou, Suizhou, Xiantao, and Tianmen have strong control over logistics resources of Hubei Province, serving as intermediaries and bridges. Shiyan, Shennongjia, and Xiangyang are at the core of the logistics network spillover relationship; The spillover effect between logistics network blocks is not significant, and logistics exchanges between cities tend to establish collaboration relationships within the same block.

ITM Web of ConferencesVol. 77
Wuhan Business University (CN), Wuhan Technology and Business University (CN)
Openalex Percentile: Top 78%
Spatial and Panel Data Analysis
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