Empirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam

Large deep-sea ports are complex environments where different parties work together to handle ships. The ability to model the deep-sea ship handling process is desired with the goal of what-if ex-ante scenario assessment. In this paper, an agent-based model for simulating the port nautical services...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	R.W. Fransen, I.Y. Davydenko
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Deep sea port Port performance Agent-based simulation Nautical services Pilotage Tugboats Shipment of goods. Delivery of goods HF5761-5780
Acceso en línea:	https://doaj.org/article/aa9bcd5e77014122a7daee336c5a1843
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:aa9bcd5e77014122a7daee336c5a1843
record_format	dspace
spelling	oai:doaj.org-article:aa9bcd5e77014122a7daee336c5a18432021-11-04T04:43:12ZEmpirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam2666-822X10.1016/j.martra.2021.100040https://doaj.org/article/aa9bcd5e77014122a7daee336c5a18432021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666822X21000319https://doaj.org/toc/2666-822XLarge deep-sea ports are complex environments where different parties work together to handle ships. The ability to model the deep-sea ship handling process is desired with the goal of what-if ex-ante scenario assessment. In this paper, an agent-based model for simulating the port nautical services in the Port of Rotterdam is presented. The model is constructed based on the real-world process descriptions, and is calibrated and validated based on empirical data. We further show that the model can be used as a tool to analyse scenarios, of which two cases are presented in this paper. The bottom-up modelling approach used in this study provides a methodology to grasp the complex, multi-organizational, aspects of the port nautical service chain. The developed model can be seen as a prototype for a decision support tool for the Port of Rotterdam's Port Authority to analyse the impact of measures on this multi stakeholder system without a central control entity. The modelling approach is scalable to other complex large deep-sea ports with necessary adjustments, in terms of spatial elements, agent representations and empirical data.R.W. FransenI.Y. DavydenkoElsevierarticleDeep sea portPort performanceAgent-based simulationNautical servicesPilotageTugboatsShipment of goods. Delivery of goodsHF5761-5780ENMaritime Transport Research, Vol 2, Iss , Pp 100040- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Deep sea port Port performance Agent-based simulation Nautical services Pilotage Tugboats Shipment of goods. Delivery of goods HF5761-5780
spellingShingle	Deep sea port Port performance Agent-based simulation Nautical services Pilotage Tugboats Shipment of goods. Delivery of goods HF5761-5780 R.W. Fransen I.Y. Davydenko Empirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam
description	Large deep-sea ports are complex environments where different parties work together to handle ships. The ability to model the deep-sea ship handling process is desired with the goal of what-if ex-ante scenario assessment. In this paper, an agent-based model for simulating the port nautical services in the Port of Rotterdam is presented. The model is constructed based on the real-world process descriptions, and is calibrated and validated based on empirical data. We further show that the model can be used as a tool to analyse scenarios, of which two cases are presented in this paper. The bottom-up modelling approach used in this study provides a methodology to grasp the complex, multi-organizational, aspects of the port nautical service chain. The developed model can be seen as a prototype for a decision support tool for the Port of Rotterdam's Port Authority to analyse the impact of measures on this multi stakeholder system without a central control entity. The modelling approach is scalable to other complex large deep-sea ports with necessary adjustments, in terms of spatial elements, agent representations and empirical data.
format	article
author	R.W. Fransen I.Y. Davydenko
author_facet	R.W. Fransen I.Y. Davydenko
author_sort	R.W. Fransen
title	Empirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam
title_short	Empirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam
title_full	Empirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam
title_fullStr	Empirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam
title_full_unstemmed	Empirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam
title_sort	empirical agent-based model simulation for the port nautical services: a case study for the port of rotterdam
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/aa9bcd5e77014122a7daee336c5a1843
work_keys_str_mv	AT rwfransen empiricalagentbasedmodelsimulationfortheportnauticalservicesacasestudyfortheportofrotterdam AT iydavydenko empiricalagentbasedmodelsimulationfortheportnauticalservicesacasestudyfortheportofrotterdam
_version_	1718445232330113024

Empirical agent-based model simulation for the port nautical services: A case study for the Port of Rotterdam

Ejemplares similares