Transport choice modeling for the evaluation of new transport policies

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dc.contributor.authorPijoan Lamas, Ander
dc.contributor.authorKamara Esteban, Oihane
dc.contributor.authorAlonso Vicario, Ainhoa
dc.contributor.authorBorges Hernández, Cruz E.
dc.date.accessioned2026-04-13T09:01:50Z
dc.date.available2026-04-13T09:01:50Z
dc.date.issued2018-04-17
dc.date.updated2026-04-13T09:01:50Z
dc.description.abstractQuantifying the impact of the application of sustainable transport policies is essential in order to mitigate effects of greenhouse gas emissions produced by the transport sector. One of the most common approaches used for this purpose is that of traffic modelling and simulation, which consists of emulating the operation of an entire road network. This article presents the results of fitting 8 well known data science methods for transport choice modelling, the area in which more research is needed. The models have been trained with information from Biscay province in Spain in order to match as many of its commuters as possible. Results show that the best models correctly forecast more than 51% of the trips recorded. Finally, the results have been validated with a second data set from the Silesian Voivodeship in Poland, showing that all models indeed maintain their forecasting ability.en
dc.description.sponsorshipPartially supported by (a) the GREENTRAVELLING project (Era NET Transport 6/12/IN/2014/195 label) partially funded by Diputación Foral de Bizkaia through the Plan de Promoción de la Innovación (6/12/-IN/2014/195) and the Basque Government through the GAITEK program IG-2014/0000133), (b) the S-MILE project (Era NET Transport ENTIII Flagship 2015 label) funded by Basque Government through the HAZITEK program (ZL-2017/00081), and (c) the Industrial Ph.D. grant given by the University of Deusto (2015–2018)en
dc.identifier.citationPijoan, A., Kamara-Esteban, O., Alonso-Vicario, A., & Borges, C. E. (2018). Transport choice modeling for the evaluation of new transport policies. Sustainability (Switzerland), 10(4). https://doi.org/10.3390/SU10041230
dc.identifier.doi10.3390/SU10041230
dc.identifier.eissn2071-1050
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5606
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2018 by the authors
dc.subject.otherGenetic programming
dc.subject.otherGreen travelling policies
dc.subject.otherTraffic management
dc.subject.otherTransport choice modelling
dc.subject.otherTransport modelling
dc.titleTransport choice modeling for the evaluation of new transport policiesen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue4
oaire.citation.titleSustainability (Switzerland)
oaire.citation.volume10
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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