Research on the Complex Characteristics of Freight Transportation from a Multiscale Perspective Using Freight Vehicle Trip Data
Ling Zhang,
Jingjing Hao,
Xiaofeng Ji and
Lan Liu
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Ling Zhang: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
Jingjing Hao: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
Xiaofeng Ji: Yunnan Integrated Transport Development and Regional Logistics Management Think Tank, Kunming University of Science and Technology, Kunming 650504, Yunnan, China
Lan Liu: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
Sustainability, 2019, vol. 11, issue 7, 1-20
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.
Keywords: freight transportation; freight vehicle trip data; multiscale perspective (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:7:p:1897-:d:218262
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