Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48942
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dc.contributor.authorHAJOUJ, Mohammed-
dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorADNAN, Muhammad-
dc.contributor.authorBELLEMANS, Tom-
dc.date.accessioned2026-04-22T13:36:46Z-
dc.date.available2026-04-22T13:36:46Z-
dc.date.issued0016-
dc.date.submitted2026-03-31T13:20:39Z-
dc.identifier.citationThe 17th International Conference on Ambient Systems, Networks and Technologies (ANT), Istanbul, Turkiye, 2026, April 14-16-
dc.identifier.urihttp://hdl.handle.net/1942/48942-
dc.description.abstractThis study presents a modeling approach for estimating travel demand at Hasselt University (Flanders, Belgium), where student residence patterns and sociodemographic characteristics play a crucial role. Travel mode choice models based on the Flemish household travel survey are combined with 2023 and 2025 GTFS datasets in order to assess how different public transport services influence student mobility patterns. Results show a slight difference in the mode shares which can have been caused by the use of stochastic processes. On the other hand, model results show clear behavioral differences between dorm and non-dorm students. Residential proximity significantly shifts preferences toward active modes, especially cycling and walking.-
dc.description.sponsorshipThe authors thank master students Masume Azami and Glen Albert Pineda for their contribution to data collection.-
dc.language.isoen-
dc.publisherElsevier-
dc.relation.ispartofseriesProcedia Computer Science-
dc.rights2026 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs.-
dc.subject.othersimulation-
dc.subject.othertravel demand modelling-
dc.subject.othercity scale-
dc.subject.othertravel plan-
dc.titleModeling travel demand for dorm and non-dorm university students-
dc.typeConference Material-
local.bibliographicCitation.conferencedate2026, April 14-16-
local.bibliographicCitation.conferencenameThe 17th International Conference on Ambient Systems, Networks and Technologies (ANT)-
local.bibliographicCitation.conferenceplaceIstanbul, Turkiye-
local.bibliographicCitation.jcatC2-
local.publisher.placeProcedia Computer Science 00 (2019) 000–000-
local.type.refereedNon-Refereed-
local.type.specifiedConference Material-
local.bibliographicCitation.statusIn press-
local.provider.typePdf-
local.uhasselt.internationalno-
item.fullcitationHAJOUJ, Mohammed; KNAPEN, Luk; ADNAN, Muhammad & BELLEMANS, Tom (0016) Modeling travel demand for dorm and non-dorm university students. In: The 17th International Conference on Ambient Systems, Networks and Technologies (ANT), Istanbul, Turkiye, 2026, April 14-16.-
item.fulltextWith Fulltext-
item.contributorHAJOUJ, Mohammed-
item.contributorKNAPEN, Luk-
item.contributorADNAN, Muhammad-
item.contributorBELLEMANS, Tom-
item.accessRightsOpen Access-
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