Operational synchromodal transport planning methodologies

Review and roadmap

Journal Article (2024)
Author(s)

Yimeng Zhang (National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, TU Delft - Civil Engineering & Geosciences)

Xiangrong Tan (National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University)

Mi Gan (National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University)

Xiaobo Liu (Southwest Jiaotong University, National Engineering Laboratory of Integrated Transportation Big Data Application Technology)

Bilge Atasoy (TU Delft - Mechanical Engineering)

Research Group
Transport, Mobility and Logistics
DOI related publication
https://doi.org/10.1016/j.tre.2024.103915 Final published version
More Info
expand_more
Publication Year
2024
Language
English
Research Group
Transport, Mobility and Logistics
Volume number
194
Article number
103915
Downloads counter
344
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

This review aims to explore the potential for synchromodal transport planning at the operational level. Synchromodal transport planning involves the optimization of the movement of freights across multiple transport modes, with the objective of minimizing cost, improving efficiency, and promoting sustainability. Through this review, we provide a roadmap for methodological developments in the area of operational synchromodal transport planning research. The roadmap provides a comprehensive categorization of different fields and their trends. The fundamentals of synchromodal transport planning are evolved to more flexible planning approaches that take practical considerations and multiple objectives into account. Dynamic planning is evolving to become more adaptive and resilient to changing environments. Finally, collaborative planning will continue to integrate both vertical and horizontal collaboration with distributed optimization approaches. With dynamic and collaborative approaches considering preferences, the full potential of synchromodal transport planning can be unlocked towards efficient and sustainable freight transportation.

Files

1-s2.0-S1366554524005064-main.... (pdf)
(pdf | 4.81 Mb)
- Embargo expired in 14-06-2025
License info not available