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Building latent segments of goods to improve shipment size modelling: Confirmatory evidence from France

Piendl, Raphael and Koning, Martin and Combes, Francois and 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), pp. 22-52. Delft University of Technology. doi: 10.18757/ejtir.2022.22.2.5662. ISSN 1567-7141.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/186139/
Document Type:Article
Title:Building latent segments of goods to improve shipment size modelling: Confirmatory evidence from France
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Piendl, RaphaelRaphael.Piendl (at) dlr.deUNSPECIFIED
Koning, MartinAME – SPLOTT, Gustave Eiffel UniversityUNSPECIFIED
Combes, FrancoisAME – SPLOTT, Gustave Eiffel UniversityUNSPECIFIED
Liedtke, GernotGernot.Liedtke (at) dlr.dehttps://orcid.org/0000-0001-8482-2236
Date:March 2022
Journal or Publication Title:European Journal of Transport and Infrastructure Research
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:22
DOI :10.18757/ejtir.2022.22.2.5662
Page Range:pp. 22-52
Publisher:Delft University of Technology
ISSN:1567-7141
Status:Published
Keywords:freight, transport, model, demand, segmentation, conditioning, shipment data,
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Ökonver II
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research > Commercial Transport
Deposited By: Zeppan, Katja
Deposited On:02 May 2022 22:35
Last Modified:15 Aug 2022 20:58

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