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- Title
Study on Low-carbon Transport Scheme of Express Freight Based on Space-time Network.
- Authors
Yuzhao Zhang; Zhenjiang Zhang; Zhimo Jiang; Xiaorong Wang; Muchen Ye
- Abstract
The determination of transport schemes represents a critical facet of operational management in express freight logistics and constitutes a significant scientific challenge within the domain of freight transportation. Globally, there is an escalating focus on adopting low-carbon transit strategies, and it has been established that multimodal transport methods can significantly diminish carbon emissions associated with freight transportation. Moreover, the scheduled arrival and departure times for railway and aviation are pivotal in shaping the selection of transport schemes. Regrettably, these critical considerations are frequently neglected in the prevailing body of research. This paper endeavors to bridge this research gap by advocating for a lowcarbon transport scheme for express freight through the utilization of an integrated transportation system. It undertakes a collaborative optimization study concerning transportation modes and routes. This document proposes an optimization framework for the selection of express freight transport schemes that incorporates considerations for carbon emissions and fixed timetables. A three-layer service network is developed, integrating the fixed schedules of railway and aviation to formulate a space-time shortest path problem aimed at minimizing the generalized transportation cost. Three models are formulated to reduce the transportation costs and carbon emissions of logistics enterprises, taking into account diverse carbon emission policies. Subsequently, a two-stage heuristic algorithm is introduced to address this complex problem. The findings reveal that by accounting for customers' transportation time constraints and judiciously selecting transportation modes and routes, it is feasible to effectively minimize transportation costs and carbon emissions.
- Subjects
CARBON emissions; FREIGHT &; freightage; TRANSPORTATION costs; SPACETIME; TRAIN schedules; HEURISTIC algorithms; EVIDENCE gaps
- Publication
Engineering Letters, 2024, Vol 32, Issue 6, p1132
- ISSN
1816-093X
- Publication type
Article