| dc.contributor.author | Sakai, Takanori | |
| dc.contributor.author | Alho, André | |
| dc.contributor.author | Hyodo, Tetsuro | |
| dc.contributor.author | Ben-Akiva, Moshe | |
| dc.date.accessioned | 2021-10-01T19:48:54Z | |
| dc.date.available | 2021-10-01T19:48:54Z | |
| dc.date.issued | 2020-04 | |
| dc.identifier.issn | 0361-1981 | |
| dc.identifier.issn | 2169-4052 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/132688 | |
| dc.description.abstract | Transportation 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.iso | en | |
| dc.publisher | SAGE Publications | en_US |
| dc.relation.isversionof | 10.1177/0361198120914890 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Other repository | en_US |
| dc.title | Empirical Shipment Size Model for Urban Freight and its Implications | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Sakai, 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.department | Singapore-MIT Alliance in Research and Technology (SMART) | |
| dc.contributor.department | Massachusetts Institute of Technology. Intelligent Transportation Systems Laboratory | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | |
| dc.relation.journal | Transportation Research Record | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2021-10-01T15:51:47Z | |
| dspace.orderedauthors | Sakai, T; Alho, A; Hyodo, T; Ben-Akiva, M | en_US |
| dspace.date.submission | 2021-10-01T15:51:49Z | |
| mit.journal.volume | 2674 | en_US |
| mit.journal.issue | 5 | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work Needed | en_US |