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Congestion and scheduling preferences of car commuters in California: estimates using big data

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  • Jinwon Kim
  • Jucheol Moon

Abstract

This article estimates commuters’ scheduling utility function, which comprises the disutility of arriving at work earlier or later than desired (namely, the schedule-delay cost) and the disutility of travel time. The marginal rate of substitution (MRS) between the schedule delay and the travel time is about 0.85, meaning that commuters are willing to accept an extra schedule delay of about 1.2 time units (the reciprocal of 0.85) to reduce their travel time by 1 unit. For most travelers, the slope of the travel-time profile is much smaller than the estimated slope of the indifference curve (MRS). Based on our theoretical framework, where commuters choose a trip timing based on their travel-time profiles, our empirical results imply that commuters tend to arrive around their desired times bearing a small schedule-delay cost.

Suggested Citation

  • Jinwon Kim & Jucheol Moon, 2024. "Congestion and scheduling preferences of car commuters in California: estimates using big data," Journal of Economic Geography, Oxford University Press, vol. 24(1), pages 145-170.
  • Handle: RePEc:oup:jecgeo:v:24:y:2024:i:1:p:145-170.
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    File URL: http://hdl.handle.net/10.1093/jeg/lbad033
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    More about this item

    Keywords

    congestion; scheduling utility; big data; machine learning;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation

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