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ArticleQuantifying errors in travel time and cost by latent variables

Juan Manuel Lorenzo Varela2018

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Articlegreen2018

Quantifying errors in travel time and cost by latent variables

Juan Manuel Lorenzo Varela · Maria Bratt Börjesson · Andrew Daly

34 citations·0/0 files stored·Transportation Research Part B Methodological

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Transportation Planning and Optimization Urban Transport and Accessibility Economic and Environmental Valuation

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References

1987Discrete Choice Analysis: Theory and Application to Travel Demand.2006Structural equation modelling: Adjudging model fit 1971A Theory of the Economics of Time 2011Latent Variable Models and Factor Analysis: A Unified Approach 2016How, when and why integrated choice and latent variable models are latently useful 2006Testing! testing! one, two, three – Testing the theory in structural equation models!2007Meta-analysis of public transport demand 2013Experiences from the Swedish Value of Time study

Cited by

2020Addressing endogeneity in strategic urban mode choice models 2022The value of travel time: a revealed preferences approach using exogenous variation in travel costs and automatic traffic count data 2021Long-distance mode choice model estimation using mobile phone network data 2021A Psychophysical Ordered Response Model of Time Perception and Service Quality: Application to Level of Service Analysis at Toll Plazas 2023Alternate closed-form weibit-based model for assessing travel choice with an oddball alternative

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Details

Year2018

Typearticle

Published2018-10-05

VenueTransportation Research Part B Methodological

ISSN-L0191-2615

Languageen

Citations34

Files0 public / 0

ShelfTransportation Planning and Optimization

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doi10.1016/j.trb.2018.09.010

openalex_workW2894403170

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2019Over- and Under-Estimation of Travel Time on Commute Trips: GPS vs. Self-Reporting

2023Travel time variation and its impact on the elasticity of route choice model parameters

2024Choice models with stochastic variables and random coefficients