Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98377
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorLiu, Zen_US
dc.creatorWang, Sen_US
dc.creatorChen, Wen_US
dc.creatorZheng, Yen_US
dc.date.accessioned2023-04-27T01:05:09Z-
dc.date.available2023-04-27T01:05:09Z-
dc.identifier.issn0191-2615en_US
dc.identifier.urihttp://hdl.handle.net/10397/98377-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2016 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Liu, Z., Wang, S., Chen, W., & Zheng, Y. (2016). Willingness to board: a novel concept for modeling queuing up passengers. Transportation Research Part B: Methodological, 90, 70-82 is available at https://doi.org/10.1016/j.trb.2016.04.005.en_US
dc.subjectMixed-integer programmingen_US
dc.subjectParametric modelen_US
dc.subjectTransit passengersen_US
dc.subjectWeighted least square methoden_US
dc.subjectWillingness to boarden_US
dc.titleWillingness to board : a novel concept for modeling queuing up passengersen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage70en_US
dc.identifier.epage82en_US
dc.identifier.volume90en_US
dc.identifier.doi10.1016/j.trb.2016.04.005en_US
dcterms.abstractThis paper addresses an innovative concept, termed as queuing passengers' willingness to board (WTB) the transit vehicles. In the peak hours, some queuing passengers cannot board a crowded bus/train, but when the same vehicle arrives at the next stop, some other passengers could still get on. This phenomenon reflects that passengers at different queuing locations have heterogeneous level of ambitions to board. A methodological framework is proposed for the quantitative investigation of WTB. First, a general model is proposed, together with a new least square method (LSM) for the calibration. Then, a parametric model is developed, which is also calibrated by the LSM. To refine the calibration method and deal with the biasness of survey data, a weighted least square method is further developed. Based on real survey data, the calibration results clearly support the existence of WTB, which can be used to estimate the capacity of transit vehicles. This paper also sheds some lights on the practical applications of the quantitative WTB.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part B, Methodological, Aug. 2016, v. 90, p. 70-82en_US
dcterms.isPartOfTransportation research. Part B, Methodologicalen_US
dcterms.issued2016-08-
dc.identifier.scopus2-s2.0-84964842518-
dc.identifier.eissn1879-2367en_US
dc.description.validate202304 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0482-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Natural Science Foundation of Jiangsu Province in Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6639866-
dc.description.oaCategoryGreen (AAM)en_US
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