Abstract The evaluation and selection of intermodal routes with regard to the key objectives, i.e., transit time, transport emissions and cost, is the main challenge in the design of intermodal networks. The aim of this paper is to present a decision support system for intermodal freight transportation planning, which offers methodological contributions to the research on transport mode, route and carrier selection as well as results for industrial practitioners for the assessment of emission abatement potentials. Core of this approach is a capacitated multi-commodity network flow model considering three minimization objectives, i.e. costs, time and CO $$_2$$ -equivalents. In this contribution a tri-objective mixed-integer linear model formulation minimizes the number of transported and transshipped full truck loads taking into account tied in-transit capital and the distance travelled. The decision support system is validated in an exemplary case study application analyzing the sensitivity of objectives on optimal route and carrier choice. By applying the augmented $$\varepsilon $$ -constraint method, a Pareto-efficient frontier is determined to investigate the tradeoff between economic and ecological objectives in intermodal freight transportation planning.
Decision Support System for Intermodal Freight Transportation Planning: An Integrated View on Transport Emissions, Cost and Time Sensitivity
2017-01-01
7 pages
Article/Chapter (Book)
Electronic Resource
English
Freight Transportation , Constraint Method , Network Flow Problem , Dummy Node , Freight Transport Operations Management , Business and Management , Operations Research, Management Science , Game Theory, Economics, Social and Behav. Sciences , Operations Research/Decision Theory , Engineering Economics, Organization, Logistics, Marketing
British Library Conference Proceedings | 2015
|NO. 1873 - Intermodal Freight Transportation; Freight Transportation Planning
Online Contents | 2004
Intermodal freight transportation
SLUB | 1999
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