Modelling Approaches for Transport Policy Support
Journal of Shipping and Trade welcomes submissions to the thematic series on Modelling Approaches for Transport Policy Support.
The Journal of Shipping and Trade is launching a call for papers on modelling applications applied to trade and transport, and the linkage between them. In particular, attention goes to goods flows modelling, instruments for related policy analysis, and evaluation of ways of making trade and transport more efficient and green.
Potential topics include, but are not limited to:
· Flow of goods
· Transport policy
· Transport Market
· Frieght Transport
· Cargo Train
Thierry Vanelslander, University of Antwerp
Seraphim Kapros, University of Aegean
Deadline for submissions: 31 August, 2017
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for Journal of Shipping and Trade. The complete manuscript should be submitted through Journal of Shipping and Trade submission system. To ensure that you submit to the correct thematic series please select the appropriate thematic series in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the thematic series on Modelling Approaches for Transport Policy Support. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Submissions will also benefit from the usual advantages of open access publication:
• Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
• High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
• No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
• Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
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