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Quantifying errors in travel time and cost by latent variables in transport demand models
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, System Analysis and Economics. (CTS)ORCID iD: 0000-0003-4512-9054
University of Leeds.
2018 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Travel time and travel cost are key variables for explaining travel behaviour and deriving the value of time. However, a general problem in transport modelling is that these variables are subject to measurement errors in transport network models. In this paper we show how to assess the magnitude of the measurement errors in travel time and travel cost by latent variables, in a large-scale travel demand model. The case study for Stockholm commuters shows that assuming multiplicative measurement errors for travel time and cost result in a better fit than additive ones, and that parameter estimates of the choice model are impacted by some of the key modelling assumptions. Moreover, our results suggest that measurement errors in our dataset are larger for the travel cost than for the travel time, and that measurement errors are larger in self-reported travel time than software-calculated travel time for car-driver and car-passenger, and of similar magnitude for public transport. Among self-reported travel times, car-passenger has the largest errors, followed by car-driver and public transport, and for the software-calculated times, public transport exhibits larger errors than car.  These errors, if not corrected, lead to biases in measures derived from the models, such as elasticities and values of travel time.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Hybrid choice models, Latent variables, Error quantification, Measurement error models, RP Value of Time, Self-reported indicators
National Category
Transport Systems and Logistics Economics
Research subject
Transport Science
Identifiers
URN: urn:nbn:se:kth:diva-233763OAI: oai:DiVA.org:kth-233763DiVA, id: diva2:1242490
Conference
15th International conference on travel behavior research. (IATBR 2018)
Note

QC 20180828

Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2018-11-13Bibliographically approved

Open Access in DiVA

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http://www.iatbr2018.org/

Authority records BETA

Lorenzo Varela, Juan ManuelBörjesson, Maria

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf