A flexible cost model for seaport–hinterland decisions in container shipping
A flexible cost model for seaport–hinterland decisions in container shipping
A seaport–hinterland system offers a wide range of service options for shippers and consignees to export or import containerized cargo. The present study, set within the context of Brazil, seeks to propose a flexible cost model to aid joint seaport–hinterland network decisions by freight forwarders and clients. More specifically, employing simulation and sensibility analysis, the proposed model is employed to explore: (i) decisions on whether to perform logistics services in seaports or dry ports; (ii) decisions on whether to transport containerized cargo by road or by multimodal transportation (road and rail); and (iii) decisions on whether cargo is best delivered or received in either consolidated or deconsolidated form. Simulations are undertaken against seven transportation strategy permutations via which service operators might deliver containers from seaports or dry ports to clients. We find five factors—(i) cargo value, (ii) cargo accommodation type, (iii) transportation mode, (iv) delivery distance and (v) shipping process time—as critical to joint seaport–hinterland operations impacting shippers and consignees. Furthermore, dry ports are shown to be particularly cost efficient for imports requiring long-term storage, even where the dry ports are not directly connected to seaports or intermodal facilities.
Container shipping, Cost model, Seaport–hinterland network, client's choice
Rodrigues, Thiago de Almeida
45ba56eb-54bb-4b46-aaa8-71f70efbcf49
Mota, Caroline Maria de Miranda
a52fcad4-f6b6-45cf-a0be-62c446298342
Ojiako, Udechukwu
f55c2116-46e9-419f-b5c0-77eadbf1676a
Chipulu, Maxwell
d9529a5a-9586-4f36-92f7-60640561b7af
Marshall, Alasdair
93aa95a2-c707-4807-8eaa-1de3b994b616
Dweiri, Fikri
9d9ff514-9e01-4669-a1df-4cfc66df63a8
August 2023
Rodrigues, Thiago de Almeida
45ba56eb-54bb-4b46-aaa8-71f70efbcf49
Mota, Caroline Maria de Miranda
a52fcad4-f6b6-45cf-a0be-62c446298342
Ojiako, Udechukwu
f55c2116-46e9-419f-b5c0-77eadbf1676a
Chipulu, Maxwell
d9529a5a-9586-4f36-92f7-60640561b7af
Marshall, Alasdair
93aa95a2-c707-4807-8eaa-1de3b994b616
Dweiri, Fikri
9d9ff514-9e01-4669-a1df-4cfc66df63a8
Rodrigues, Thiago de Almeida, Mota, Caroline Maria de Miranda, Ojiako, Udechukwu, Chipulu, Maxwell, Marshall, Alasdair and Dweiri, Fikri
(2023)
A flexible cost model for seaport–hinterland decisions in container shipping.
Research in Transportation Business & Management, 49, [101016].
(doi:10.1016/j.rtbm.2023.101016).
Abstract
A seaport–hinterland system offers a wide range of service options for shippers and consignees to export or import containerized cargo. The present study, set within the context of Brazil, seeks to propose a flexible cost model to aid joint seaport–hinterland network decisions by freight forwarders and clients. More specifically, employing simulation and sensibility analysis, the proposed model is employed to explore: (i) decisions on whether to perform logistics services in seaports or dry ports; (ii) decisions on whether to transport containerized cargo by road or by multimodal transportation (road and rail); and (iii) decisions on whether cargo is best delivered or received in either consolidated or deconsolidated form. Simulations are undertaken against seven transportation strategy permutations via which service operators might deliver containers from seaports or dry ports to clients. We find five factors—(i) cargo value, (ii) cargo accommodation type, (iii) transportation mode, (iv) delivery distance and (v) shipping process time—as critical to joint seaport–hinterland operations impacting shippers and consignees. Furthermore, dry ports are shown to be particularly cost efficient for imports requiring long-term storage, even where the dry ports are not directly connected to seaports or intermodal facilities.
Text
dry port 17-7-23 RTBM
- Accepted Manuscript
More information
Accepted/In Press date: 17 July 2023
e-pub ahead of print date: 26 July 2023
Published date: August 2023
Additional Information:
Funding Information:
This work was supported by FACEPE (Fundação de Amparo a Ciência e Tecnologia do Estado de Pernambuco) and CAPES ( Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ).
Publisher Copyright:
© 2023 Elsevier Ltd
Keywords:
Container shipping, Cost model, Seaport–hinterland network, client's choice
Identifiers
Local EPrints ID: 479937
URI: http://eprints.soton.ac.uk/id/eprint/479937
ISSN: 2210-5395
PURE UUID: 7f883fff-af15-4146-b055-cac53007e2f2
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Date deposited: 31 Jul 2023 16:35
Last modified: 17 Jul 2024 04:01
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Contributors
Author:
Thiago de Almeida Rodrigues
Author:
Caroline Maria de Miranda Mota
Author:
Udechukwu Ojiako
Author:
Maxwell Chipulu
Author:
Fikri Dweiri
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