Methodological approaches to reliable and green intermodal transportation

E. Demir, M. Hrusovsky, W. Jammernegg, T. van Woensel

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

A combination of transportation modes offers environmentally friendly alternatives to transport high volumes of freight over long distances. In order to reflect the advantages of each transportation mode, it is the challenge to deal with data uncertainty during the transportation planning phase. This chapter investigates the alternative ways of modeling the uncertainty by discussing them and their characteristics in terms of solution times, the quality, and the limitations. Moreover, several real-life case studies are provided to demonstrate potential environmental benefits by considering the principles of green logistics for single-mode and intermodal transportation
Original languageEnglish
Title of host publicationSustainable logistics and transportation : optimization models and algorithms
EditorsD. Cinar, K. Gakis, P.M. Pardalos
Place of PublicationDordrecht
PublisherSpringer
Pages153-179
Number of pages27
ISBN (Electronic)978-3-319-69215-9
ISBN (Print)978-3-319-69214-2
DOIs
Publication statusPublished - 3 Jan 2018

Publication series

NameSpringer Optimization and Its Applications series (SOIA)
Volume129

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    Demir, E., Hrusovsky, M., Jammernegg, W., & van Woensel, T. (2018). Methodological approaches to reliable and green intermodal transportation. In D. Cinar, K. Gakis, & P. M. Pardalos (Eds.), Sustainable logistics and transportation : optimization models and algorithms (pp. 153-179). (Springer Optimization and Its Applications series (SOIA); Vol. 129). Springer. https://doi.org/10.1007/978-3-319-69215-9_7