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An inexact science: Accounting for measurement error and downward bias in mode and location choice models

Author

Listed:
  • Stuart Donovan

    (Vrije Universiteit Amsterdam)

  • Thomas de Graaff

    (Vrije Universiteit Amsterdam)

  • Henri L.F. de Groot

    (Vrije Universiteit Amsterdam)

Abstract

Using commuting data for Brisbane, Australia, we find that accounting for measurement error in travel times causes the magnitude of parameters in mode and location choice models to increase approximately three-fold and 30–40%, respectively. Errors appear to be somewhat systematic, with travel times being underestimated for short journeys and vice versa for long journeys—especially by public transport. We find similar results when we use alternative transport cost measures and independent commuting data from London. Our findings are likely to have important implications for transport and land use policy as well as the many types of economic models in which travel times—and transport costs, more generally—occupy a central role.

Suggested Citation

  • Stuart Donovan & Thomas de Graaff & Henri L.F. de Groot, 2023. "An inexact science: Accounting for measurement error and downward bias in mode and location choice models," Tinbergen Institute Discussion Papers 23-010/VIII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20230011
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    References listed on IDEAS

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    1. Ostermeijer, Francis & Koster, Hans RA. & van Ommeren, Jos, 2019. "Residential parking costs and car ownership: Implications for parking policy and automated vehicles," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 276-288.
    2. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice," Transport Policy, Elsevier, vol. 18(2), pages 326-335, March.
    3. Mark van Duijn & Jan Rouwendal, 2013. "Cultural heritage and the location choice of Dutch households in a residential sorting model," Journal of Economic Geography, Oxford University Press, vol. 13(3), pages 473-500, May.
    4. Lovelace, Robin & Ballas, Dimitris & Watson, Matt, 2014. "A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels," Journal of Transport Geography, Elsevier, vol. 34(C), pages 282-296.
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    More about this item

    Keywords

    mode choice; location choice; travel times; measurement error; Australia;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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