Value chains of Road Freight Transport operations: An agentbased modelling proposal

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dc.contributor.authorSalas Peña, Aitor
dc.contributor.authorCases Gutiérrez, Blanca
dc.contributor.authorGarcía Palomares, Juan Carlos
dc.date.accessioned2026-02-25T11:58:50Z
dc.date.available2026-02-25T11:58:50Z
dc.date.issued2019
dc.descriptionEn: Procedia Computer Science, Volumen 151, 2019, páginas 769-775. Tipo de fuente: Conference Proceeding Tipo Aportación congreso / Conference Paper The 8th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS) Part of special issue: The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops Meeting10th International Conference on Ambient Systems, Networks and Technologies (ANT) / 2nd International Conference on Emerging Data and Industry 4.0 (EDI40). LocationLeuven, BELGIUM. DateAPR 29-MAY 02, 2019. This research is funded by the Specific Research Fund (FEI17/34) of the Complutense University of Madrid and supported by the Guitrans Foundation, dedicated to the innovation and development of the road freight transport sector that includes more than 500 transport companies in the territory of Gipuzkoa, Basque Country. Referencias bibliográficas: • World Bank (2017). Measuring and analizing the impact of GVCs on economic developement: Global Value Chain development report 2017. World Bank Group: Washington. • Roorda, M. J., Cavalcante, R., McCabe, S. & Kwan, H. (2010). A conceptual framework for agent-based modelling of logistics services. Transportation Research Part E: Logistics and Transportation Review, 46(1), 18-31. • Ramstedt, L. & Woxenius, J. (2006). Modelling approaches to operational decision-making in freight transport chains. In Proc. 18th NOFOMA Conference, Oslo. • Wooldridge, M. & Jennings, N. R. (1995). Intelligent agents: Theory and practice. The knowledge engineering review, 10(2), 115-152. • Holmgren, J. (2008). Multi-agent-based simulation and optimization of production and transportation. (Doctoral thesis). Blekinge Institute of Technology. • Ramstedt, L. (2008). Transport policy analysis using multi-agent-based simulation. (Doctoral thesis). Blekinge Institute of Technology. • Davidsson, P., Holmgren, J., Persson, J. A. & Ramstedt, L. (2008). Multi agent based simulation of transport chains. In Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems-Volume 2 (pp. 1153-1160). • Schröder, S., Zilske, M., Liedtke, G. & Nagel, K. (2012). A computational framework for a multi-agent simulation of freight transport activities. In Annual Meeting Preprint (pp. 12-4152). • Cavalcante, R.A. (2013). Freight market interactions simulation (FREMIS): an agent-based modelling framework. (Doctoral thesis). University of Toronto. • Matteis, T., Liedtke, G. & Wisetjindawat, W. (2016). A framework for incorporating market interactions in an agent based model for freight transport. Transportation Research Procedia, 12, 925-937. • Démare, T. (2016). Une approche systémique à base d’agents et de graphes dynamiques pour modéliser l’interface logistique portmétropole. (Doctoral thesis). Normandie Université, Le Havre. • Démare, T., Bertelle, C., Dutot, A. & Lévêque, L. (2017). Modeling logistic systems with an agent-based model and dynamic graphs. Journal of Transport Geography, 62, 51-65. • Taillandier, P., Vo, D. A., Amouroux, E. & Drogoul, A. (2010). GAMA: a simulation platform that integrates geographical information data, agent-based modeling and multi-scale control. In International Conference on Principles and Practice of Multi-Agent Systems (pp. 242-258). • Stojanović, Đ. (2017). Road freight transport outsourcing trend in Europe–what do we really know about it?. Transportation research procedia, 25, 772-793. • Kaplinsky, R., & Morris, M. (2000). A handbook for value chain research (Vol. 113). University of Sussex, Institute of Development Studies. • Brazinskas, S. & Beinoravičius, J. (2014). SMEs and integration driving factors to regional and global value chains. Procedia-Social and Behavioral Sciences, 110, 1033-1041. • Rodrigue, J.P. (2017). The Geography of Transport Systems (4th Ed.). New York: Routledge • Heuser, C. & Mattoo, A. (2017). Services Trade and Global Value Chains. In World Bank (ed.), Measuring and analyzing the impact of GVCs on economic development: Global Value Chain development report 2017. World Bank: Washington. • Gavaud, O., Brehier, O., Guilbault, M. & Niérat, P. (2011). La sous-traitance dans le transport routier de marchandises: les enseignements de l’enquête ECHO (2004), Recherche Transports Sécurité, 27(2), 104-119. • Reis, V. (2014). Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model. Transportation research part A: Policy and practice, 61, 100-120. • Newman, M. E. (2003). The structure and function of complex networks. SIAM review, 45(2), 167-256. • Argote, L. & Miron-Spektor, E. (2011). Organizational learning: From experience to knowledge. Organization science, 22(5), 1123-1137. • Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL
dc.description.abstractFreight transport operations generate information flows and cause the creation of value by the agents that take part in them. These processes precede the flow of goods and continue until the end of the operation. The article proposes the design of an agent-based model with the structure of a directed graph to simulate the diffusion of information through it. The model considers the existence of five types of agents, three of them related to the transport activity and two external to it, all of them geographically located and interrelated by a certain distance. The goal of the model is to simulate the transfer of information between road freight transport agents through their operational decision making, in order to understand the behaviour of the variables that intervene in them and to assess the needed conditions for the successfully develop of the operation. This is a first step in the theoretical construction of the model, consequently provisional results have been omitted in this article.
dc.description.departmentDepto. de Didáctica de las Ciencias Experimentales , Sociales y Matemáticas
dc.description.departmentDepto. de Geografía
dc.description.facultyFac. de Educación
dc.description.facultyFac. de Geografía e Historia
dc.description.refereedTRUE
dc.description.sponsorshipUniversidad Complutense de Madrid
dc.description.sponsorshipGuitrans Foundation
dc.description.statuspub
dc.identifier.citationSalas, A., Cases, B., & García Palomares, J. C. (2019). Value chains of road freight transport operations: An agent-based modelling proposal. Procedia Computer Science, 151, 769-775. https://doi.org/10.1016/J.PROCS.2019.04.104
dc.identifier.doi10.1016/j.procs.2019.04.104
dc.identifier.essn1877-0509
dc.identifier.officialurlhttps://doi.org/10.1016/J.PROCS.2019.04.104
dc.identifier.relatedurlhttps://produccioncientifica.ucm.es/documentos/5e08183929995219befa3b7d
dc.identifier.relatedurlhttps://www.scopus.com/pages/publications/85071916710
dc.identifier.relatedurlhttps://www.webofscience.com/wos/alldb/full-record/WOS:000577067400099
dc.identifier.relatedurlhttps://www.sciencedirect.com/science/article/pii/S1877050919305678?via%3Dihub
dc.identifier.urihttps://hdl.handle.net/20.500.14352/133183
dc.journal.titleProcedia Computer Science
dc.language.isoeng
dc.page.final775
dc.page.initial769
dc.publisherElsevier
dc.relation.projectIDFEI17/34
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu33
dc.subject.cdu911.375
dc.subject.cdu338.46/.47
dc.subject.cdu339.543.012.42
dc.subject.cdu339.1:91
dc.subject.cdu(084.21)
dc.subject.cdu007
dc.subject.cdu338.46/.47
dc.subject.cdu371.38
dc.subject.keywordValue chain
dc.subject.keywordAgent-based models
dc.subject.keywordRoad freight transport
dc.subject.keywordGraphs
dc.subject.keywordInformation flow
dc.subject.ucmGeografía humana
dc.subject.ucmSistemas de información geográfica
dc.subject.ucmMétodos de investigación en educación
dc.subject.ucmEconomía industrial
dc.subject.ucmIndicadores económicos
dc.subject.unesco5403 Geografía Humana
dc.subject.unesco5312 Economía Sectorial
dc.subject.unesco3317 Tecnología de Vehículos de Motor
dc.subject.unesco5306.01 Economía Investigación y desarrollo Experimental
dc.subject.unesco5801 Teoría y Métodos Educativos
dc.titleValue chains of Road Freight Transport operations: An agentbased modelling proposal
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number151
dspace.entity.typePublication
relation.isAuthorOfPublication08ec9a3f-021c-49d2-8187-a6a43d16f23e
relation.isAuthorOfPublicationb25b5524-305e-4aa0-a30e-5b15a398806c
relation.isAuthorOfPublication.latestForDiscoveryb25b5524-305e-4aa0-a30e-5b15a398806c

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