Unpacking freight – Identifying conditions driving regional freight transport in statistics

Maureen Lankhuizen*, Chris De Blois, Harm Jan Boonstra

*Corresponding author for this work

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Abstract

Statistical information on freight transport does not adequately capture developments in practice. This paper applies a Bayesian framework to integrate statistics on regional freight transport with data on regional trade. The resulting data describe freight transport in the Netherlands at the NUTS 3 regional level by NSTR commodity groups, and by type of flow. We distinguish intraregional transport, regional exports and imports, international exports and imports, and regional transit. The contribution of this paper is that conditions driving regional transport flows are reflected more clearly in the data. The results show the relative importance of logistic processes in regional transport in the Netherlands. Similarly, specific regional production patterns are also reflected in the data. The results contribute to the development of more evidence-based, region-specific freight strategies.
Original languageEnglish
Pages (from-to)415-435
Number of pages21
JournalTransportation Research. Part A: Policy & Practice
Volume132
Early online date11 Dec 2019
DOIs
Publication statusPublished - Feb 2020

Funding

The authors would like to thank two anonymous referees for their helpful and constructive comments. The usual disclaimer applies. Financial support from the NWO Sustainable Accessibility of the Randstad programme (grant 434-08-040) is gratefully acknowledged.

FundersFunder number
Nederlandse Organisatie voor Wetenschappelijk Onderzoek434-08-040

    Keywords

    • freight transport, statistics, regional trade, Bayesian model, evidence-based policymaking

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