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Research on the Complex Characteristics of Freight Transportation from a Multiscale Perspective Using Freight Vehicle Trip Data

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  • Ling Zhang

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
    Yunnan Integrated Transport Development and Regional Logistics Management Think Tank, Kunming University of Science and Technology, Kunming 650504, Yunnan, China
    Yunnan Engineering Research Center of Modern Logistics, Kunming University of Science and Technology, Kunming 650504, Yunnan, China)

  • Jingjing Hao

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
    Yunnan Integrated Transport Development and Regional Logistics Management Think Tank, Kunming University of Science and Technology, Kunming 650504, Yunnan, China
    Yunnan Engineering Research Center of Modern Logistics, Kunming University of Science and Technology, Kunming 650504, Yunnan, China)

  • Xiaofeng Ji

    (Yunnan Integrated Transport Development and Regional Logistics Management Think Tank, Kunming University of Science and Technology, Kunming 650504, Yunnan, China
    Yunnan Engineering Research Center of Modern Logistics, Kunming University of Science and Technology, Kunming 650504, Yunnan, China)

  • Lan Liu

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China)

Abstract

To better guide the sustainable developing of freight transport aligning with environmental objectives it is of strategic importance to capture freight transportation characteristics more realistically. This paper characterizes freight transportation by using a complex network approach from multidimensional perspectives based on freight vehicle trips data. We first build two subnetworks from prefecture-level city-scale and county-level city-scale. Subsequently, network analysis indices based on complex network theory were applied to examine the topological structure and complexity of the freight transportation networks. Furthermore, the community detection method is introduced to reveal the networks’ clustering characteristics. The findings show that the prefecture-level city-scale network and the county-level city-scale network both have obvious small-world network characteristics, but the prefecture-level city-scale network has higher operating efficiency for goods movement. Additionally, the influence of the cross-border effect on the freight transportation network was verified. In terms of the community structure, the freight network shows distinct clustering features only at the county-level city-scale.

Suggested Citation

  • Ling Zhang & Jingjing Hao & Xiaofeng Ji & Lan Liu, 2019. "Research on the Complex Characteristics of Freight Transportation from a Multiscale Perspective Using Freight Vehicle Trip Data," Sustainability, MDPI, vol. 11(7), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:1897-:d:218262
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    References listed on IDEAS

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