Show simple item record

dc.contributor.authorSakai, Takanori
dc.contributor.authorAlho, André
dc.contributor.authorHyodo, Tetsuro
dc.contributor.authorBen-Akiva, Moshe
dc.date.accessioned2021-10-01T19:48:54Z
dc.date.available2021-10-01T19:48:54Z
dc.date.issued2020-04
dc.identifier.issn0361-1981
dc.identifier.issn2169-4052
dc.identifier.urihttps://hdl.handle.net/1721.1/132688
dc.description.abstractTransportation Research Board 2020. Modeling shipment size for intra-city shipments is a subject that has not been sufficiently addressed in past research, despite its growing importance in disaggregate freight modeling. While past research on shipment size estimation mainly focuses on inter-city shipments, intra-city shipments differ from them in various aspects. In filling this research gap, this study estimates shipment size models using the records of intra-city shipments, identifying the effects of factors and heterogeneity on the shipment size selection mechanism. The estimated coefficients are also compared against their theoretical values derived from a conceptual economic order quantity model. The estimated empirical models highlight the characteristics of intra-city shipments and indicate the importance of both receiver function and commodity type, and also vehicle operation type, in capturing the nuances of the selection mechanism among intra-city shipments.en_US
dc.language.isoen
dc.publisherSAGE Publicationsen_US
dc.relation.isversionof10.1177/0361198120914890en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleEmpirical Shipment Size Model for Urban Freight and its Implicationsen_US
dc.typeArticleen_US
dc.identifier.citationSakai, Takanori, et al. “Empirical Shipment Size Model for Urban Freight and Its Implications.” Transportation Research Record, vol. 2674, no. 5, May 2020, pp. 12–21,en_US
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)
dc.contributor.departmentMassachusetts Institute of Technology. Intelligent Transportation Systems Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.relation.journalTransportation Research Recorden_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-10-01T15:51:47Z
dspace.orderedauthorsSakai, T; Alho, A; Hyodo, T; Ben-Akiva, Men_US
dspace.date.submission2021-10-01T15:51:49Z
mit.journal.volume2674en_US
mit.journal.issue5en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record