Piendl, Raphael und Koning, Martin und Combes, Francois und Liedtke, Gernot (2022) Building latent segments of goods to improve shipment size modelling: Confirmatory evidence from France. European Journal of Transport and Infrastructure Research, 22 (2), Seiten 22-52. Delft University of Technology. doi: 10.18757/ejtir.2022.22.2.5662. ISSN 1567-7141.
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Kurzfassung
Freight transport demand models are generally based on administrative commodity type segmentation which are usually not tailored to behavioral freight transport demand modelling. Recent literature has explored new approaches to segment freight transport demand, notably based on latent class analysis, with promising results. In particular, empirical evidence from road freight transport modelling in Germany hints at the importance of conditioning and handling constraints as a sound basis for segmentation. However, this literature is currently sparse and based on small samples. Before it can be accepted that conditioning should be integrated in the state-of-the-art doctrine of freight data collection and model specification, more evidence is required. The objective of this article is to contribute to the issue. Using detailed data on shipments transported in France, a model of choice of shipment size with latent classes is estimated. The choice of shipment size is modelled as a process of total logistic cost minimization. Latent class analysis leverages the wide range of variables available in the dataset, to provide five categories of shipments which are both contrasted, internally homogenous, and directly usable to update freight collection protocols. The groups are: "‘standard temperature-controlled food products"’, "‘special transports"’, "‘bulk cargo"’, "‘miscellaneous standard cargo in bags"’, "‘palletised standard cargo"’. This segmentation is highly consistent with the empirical evidence from Germany and also leads to better estimates of shipment size choices than administrative segmentation. As a conclusion, the finding that conditioning and handling information is essential to understanding and modelling freight transport can be regarded as more robust.
elib-URL des Eintrags: | https://elib.dlr.de/186139/ | ||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||
Titel: | Building latent segments of goods to improve shipment size modelling: Confirmatory evidence from France | ||||||||||||||||||||
Autoren: |
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Datum: | März 2022 | ||||||||||||||||||||
Erschienen in: | European Journal of Transport and Infrastructure Research | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||
Band: | 22 | ||||||||||||||||||||
DOI: | 10.18757/ejtir.2022.22.2.5662 | ||||||||||||||||||||
Seitenbereich: | Seiten 22-52 | ||||||||||||||||||||
Verlag: | Delft University of Technology | ||||||||||||||||||||
ISSN: | 1567-7141 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | freight, transport, model, demand, segmentation, conditioning, shipment data, | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||
HGF - Programmthema: | Verkehrssystem | ||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||
DLR - Forschungsgebiet: | V VS - Verkehrssystem | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Ökonver II | ||||||||||||||||||||
Standort: | Berlin-Adlershof | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Verkehrsforschung > Wirtschaftsverkehr | ||||||||||||||||||||
Hinterlegt von: | Zeppan, Katja | ||||||||||||||||||||
Hinterlegt am: | 02 Mai 2022 22:35 | ||||||||||||||||||||
Letzte Änderung: | 27 Nov 2023 15:22 |
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