Abstract
We study the design of a multi-modal distribution network for the transportation of incoming containers from a container terminal to nearby customer regions. The motivation for the study has been the relocation of the existing cargo terminal in the Port of Bergen, which is expected to increase the road transportation need in the region. To mitigate the consequences of increased driving distances, maritime solutions have been suggested as replacements for truck transportation, but as no such concepts currently exists, more knowledge and insight is needed. Therefore, in this paper we propose a Mixed Integer Programming (MIP) model for optimizing and evaluating strategies for a modal shift in the final stage of the supply chain, i.e. the short distance final distribution from the main terminal to the customer regions. We use it on the case study for the Port of Bergen to analyze whether it is possible to come up with solutions where a significant share of the distribution is done by small electric (and possibly autonomous) container ships instead of trucks. The analyses indicate that a multi-modal distribution network can be a cost-effective option for this particular case..
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Amundsen, B.O.: Implenia skal bygge fergekaier på Nordmøre for 74 millioner kroner (2019) (in Norwegian). https://www.veier24.no/artikler/implenia-skal-bygge-fergekaier-pa-nordmore-for-74-millioner-kroner/465876. Accessed 03 Mar 2020
ASKO: ASKO planlegger en hel-elektrisk transportkjede på vei og sjø (2019). https://asko.no/nyhetsarkiv/asko-med-droneprosjekt. Accessed 03 Mar 2020
Ayar, B., Yaman, H.: An intermodal multicommodity routing problem with scheduled services. Comput. Optim. Appl. 53(1), 131–153 (2012). https://doi.org/10.1007/s10589-011-9409-z
Berg, G., Haram, H.K.: Flytting av godshavna i Bergen til Ã…gotnes - konsekvensanalyse (2018) (in Norwegian). https://fido.nrk.no/cef4c2d4d96346d5511114237d6072a6a7601eb97fc526f5ceb11102c261b082/Konsekvensanalyse%20flytting%20Bergen%20godshavn%20-%20Flowchange%20as.pdf. Accessed 03 Mar 2020
Bergen Havn: Endeleg ja til ny godshamn på Ågotnes (2019) (in Norwegian). https://bergenhavn.no/endeleg-ja-til-ny-godshamn-pa-agotnes/. Accessed 03 Mar 2020
Chandra, S., Christiansen, M., Fagerholt, K.: Analysing the modal shift from road-based to coastal shipping-based distribution - a case study of outbound automotive logistics in India. Marit. Policy Manage. 47, 273–286 (2020)
Dale, E., et al.: Kostnadskomponenter og - størrelser ved skipsanløp Report No.: 10083133–4, Rev. 1. DNV GL AS Maritime, p. 12 (2018) (in Norwegian). https://www.kystverket.no/globalassets/rapporter-og-brosjyrer/dnv-gl-2018_kostnadskomponenter-og-storrelser-ved-skipsanlop.pdf. Accessed 03 Mar 2020
European Commision: WHITE PAPER - Roadmap to a Single European Transport Area - Towards a competitive and resource efficient transport system. European Commision, p. 9 (2011). https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0144:FIN:en:PDF. Accessed 03 Mar 2020
Gulbrandsen, M.U., et al.: Samfunnsøkonomisk analyse av å årelokalisere godshavnen i Bergen til Ågotnes Report no. 96/2018. Menon Economics, pp. 8–11 (2018) (in Norwegian). https://www.menon.no/wp-content/uploads/2018-96-S%C3%98A-av-%C3%A5-relokalisere-godshavnen-i-Bergen-til-%C3%85gotnes.pdf. Accessed 03 Mar 2020
Holm, M.B., Medbøen, C.A.B., Fagerholt, K., Schütz, P.: Shortsea liner network design with transhipments at sea: a case study from Western Norway. Flex. Serv. Manuf. J. 31(3), 598–619 (2018). https://doi.org/10.1007/s10696-018-9317-y
IMO: IMO profile - overview (2019). https://business.un.org/en/entities/13. Accessed 03 Mar 2020
Kongsberg: Autonomous ship project, key facts about Yara Birkeland (2017). https://www.kongsberg.com/maritime/support/themes/autonomous-ship-project-key-facts-about-yara-birkeland/. Accessed 03 Mar 2020
OECD: Transcontinental Infrastructure Needs to 2030/2050. North-West Europe Gateway Area - Port of Rotterdam Case Study. The Organisation for Economic Co-operation and Development (OECD), p. 25 (2010). https://www.oecd.org/futures/infrastructureto2030/48321781.pdf. Accessed 03 Mar 2020
Rodrigues, V.S., et al.: UK supply chain carbon mitigation strategies using alternative ports and multimodal freight transport operations. Transp. Res. Part E Logistics Transp. Rev. 78, 40–56 (2015)
Sundfjord, Ø.: Konseptvalgutredning logistikknutepunkt i Bergensregio- nen - Behovsanalyse Document No.: POU-00-A-00095, Rev. 2. Jernbaneverket, p. 23 (2015) (in Norwegian). https://www.jernbanedirektoratet.no/contentassets/052c20a27b1049b88beba9eb0370a772/kvu-behovsanalyse-rapport.pdf. Accessed 03 Mar 2020
The Ministry of Transport: Meld. St. 33 - Nasjonal Transport-plan 2018–2029, pp. 33–34, 190 (2017) (in Norwegian). https://www.regjeringen.no/contentassets/7c52fd2938ca42209e4286fe86bb28bd/no/pdfs/stm201620170033000dddpdfs.pdf. Accessed 03 Mar 2020
The Norwegian Mapping Authority: Kart - Turkart, eiendomskart, stedsnavn, kart for utskrift (2019). https://norgeskart.no/. Accessed 03 Mar 2020
Zhou, M., et al.: Capacitated multi-modal network ow models for minimizing total operational cost and CO2e emission. Comput. Ind. Eng. 126, 361–377 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Ormevik, A.B., Erikstad, S.O., Fagerholt, K. (2020). Evaluating Port Development Strategies for a Modal Shift: A Norwegian Case Study. In: Lalla-Ruiz, E., Mes, M., Voß, S. (eds) Computational Logistics. ICCL 2020. Lecture Notes in Computer Science(), vol 12433. Springer, Cham. https://doi.org/10.1007/978-3-030-59747-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-59747-4_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-59746-7
Online ISBN: 978-3-030-59747-4
eBook Packages: Computer ScienceComputer Science (R0)