Structure and dynamics of urban freight truck movements

A complex network theory perspective

Journal Article (2023)
Author(s)

Yitao Yang (Beijing Jiaotong University, Transport and Planning)

Bin Jia (Xi'an Technological University, Beijing Jiaotong University)

Xiao Yong Yan (Beijing Jiaotong University)

Yan Chen (Beijing Jiaotong University)

Lóránt Tavasszy (Transport and Planning)

Michiel de Bok (Transport and Planning)

Zhuotong Bai (Tsinghua University)

Erjian Liu (Beijing Jiaotong University)

Ziyou Gao (Beijing Jiaotong University)

Transport and Planning
DOI related publication
https://doi.org/10.1016/j.trc.2023.104442
More Info
expand_more
Publication Year
2023
Language
English
Transport and Planning
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Journal title
Transportation Research Part C: Emerging Technologies
Volume number
158
Article number
104442
Downloads counter
384
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Knowledge of the core structure and inherent dynamics of urban freight transport systems is important for the development of policies, aimed at improving the livability and sustainability of cities. The past decade has witnessed a great deal of efforts into analyzing the geographic structure of urban freight transport systems. However, in-depth studies on the system core structure and underlying dynamics are still absent. This study contributes to the field by analyzing large scale freight truck trip data from Chinese cities, using complex network analysis. We empirically reconstruct and characterize the urban freight truck mobility networks and reveal the underlying spatial interaction patterns. We develop a spatial network growth model which explains how hub-and-spoke core structure of urban freight transport systems are formed. The developed model captures the essential interaction dynamics of freight locations, and explains the effects of spatial distance, economic size and business pattern replication. Inspired by the model, we provide policy implications for land-use planning, transportation planning and sustainable urban development.

Files

1_s2.0_S0968090X23004321_main.... (pdf)
(pdf | 4.08 Mb)
- Embargo expired in 02-06-2024
License info not available