Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/28482
Title: Towards freight transport system unification: reviewing and combining the advancements in the physical internet and synchromodal transport research
Authors: AMBRA, Tomas 
CARIS, An 
Macharis, Cathy
Issue Date: 2019
Source: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 57(6), p. 1606-1623
Abstract: To achieve socio-economic and environmental sustainability, utilization of existing capacities and assets has become a key challenge for the transportation sector. This challenge has been recognised by many scholars, policy makers and practitioners leading to a substantial body of new concepts and models. The rather parallel evolution of the Physical Internet (PI) and synchromodal transport presents an opportunity to improve the current unsustainable freight transportation, by inducing a positive modal shift from roads to rails and inland waterways, and improving service levels by better connecting production research with freight movement. This paper thus examines the synchromodal and PI state-of-the-art models together with their designs, methodologies and findings proposed in the scientific literature. The main objective is to assess and explore the correlations between these two concepts in order to understand how they can reinforce each other. Despite the integrated vision of the Alliance for Logistics Innovation through Collaboration in Europe, the findings of this paper yield no well-established interconnections in the scientific literature between PI and synchromodality as they both merely coexist in parallel and address different dimensions, scales and levels of abstraction. This paper thus identifies potential synergies, future research directions and critical questions to be considered by modellers, developers and policy makers.
Keywords: intermodality; modelling; multimodal transport; physical internet; synchromodality; systematic review
Document URI: http://hdl.handle.net/1942/28482
ISSN: 0020-7543
e-ISSN: 1366-588X
DOI: 10.1080/00207543.2018.1494392
ISI #: 000462470300001
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

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