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Data Availability and Model Form
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.
2013 (English)In: Modelling Freight Transport, Elsevier, 2013, 229-244 p.Chapter in book (Refereed)
Abstract [en]

Data are essential for any empirical modelling effort. In freight transport, obtaining good data for modelling can be a challenge because of the difficulty to observe freight processes directly, the often proprietary nature of logistics data, and a relatively poor data acquisition infrastructure. In this chapter we review the different data sources for freight modelling, including data for trade, logistics and transport by different modes of transport. We discuss which sources can be used for which models. In every practical modelling situation, data limitations will remain. We discuss two main strategies to overcome them: adapting the model to a simplified form and estimating the missing data from the available information. The chapter concludes with listing some challenges for research into data acquisition for the future.

Place, publisher, year, edition, pages
Elsevier, 2013. 229-244 p.
Keyword [en]
Data, Estimation, Freight modelling, Statistics
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-150974DOI: 10.1016/B978-0-12-410400-6.00010-0Scopus ID: 2-s2.0-84903926774ISBN: 9780124104006 OAI: oai:DiVA.org:kth-150974DiVA: diva2:746732
Note

QC 20140915

Available from: 2014-09-15 Created: 2014-09-12 Last updated: 2017-05-29Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf