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Modelling inertia and shock effects with panel data: An application to mode choice in Santiago

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  • Yáñez, María Francisca
  • Cherchi, Elisabetta
  • Ortúzar, Juan de Dios

Abstract

The mode choice process, especially in the case of commuter trips, reflects the strong tendency people have to simplify the assessment of their options when confronted with successive well-known decisions. Thus, repeating a “habitual” choice involving a potentially important inertia element over time is expected. However, while inertia effects increase the probability of maintaining the same choice in a stable situation, in a changing environment disrupted by a radical or significant policy intervention, user behaviour may be affected by a specific response to abrupt changes. Shock effects of this kind could increase the probability of individuals leaving their habitual choices.

Suggested Citation

  • Yáñez, María Francisca & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2025. "Modelling inertia and shock effects with panel data: An application to mode choice in Santiago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:transa:v:199:y:2025:i:c:s0965856425002216
    DOI: 10.1016/j.tra.2025.104593
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    References listed on IDEAS

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    1. María Yáñez & Patricio Mansilla & Juan de Ortúzar, 2010. "The Santiago Panel: measuring the effects of implementing Transantiago," Transportation, Springer, vol. 37(1), pages 125-149, January.
    2. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt1676t0bp, University of California Transportation Center.
    3. Golob, Thomas F. & Van Wissen , Leo, 1989. "A Joint Household Travel Distance Generation and Car Ownership Model," University of California Transportation Center, Working Papers qt16h8h2gh, University of California Transportation Center.
    4. Golob, Thomas F. & van Wissen, Leo, 1989. "A joint household travel distance generation and car ownership model," Transportation Research Part B: Methodological, Elsevier, vol. 23(6), pages 471-491, December.
    5. Rong-Chang Jou & David A. Hensher & Yu-Hsin Liu & Ching-Shu Chiu, 2010. "Urban Commuters’ Mode-switching Behaviour in Taipai, with an Application of the Bounded Rationality Principle," Urban Studies, Urban Studies Journal Limited, vol. 47(3), pages 650-665, March.
    6. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    8. Elisabetta Cherchi & Juan Dios Ortúzar, 2008. "Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness," Networks and Spatial Economics, Springer, vol. 8(2), pages 109-124, September.
    9. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt2t18b4q9, University of California Transportation Center.
    10. Swait, Joffre & Adamowicz, Wiktor & Bueren, Martin van, 2004. "Choice and temporal welfare impacts: incorporating history into discrete choice models," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 94-116, January.
    11. Víctor Cantillo & Juan de Dios Ortúzar & Huw C. W. L. Williams, 2007. "Modeling Discrete Choices in the Presence of Inertia and Serial Correlation," Transportation Science, INFORMS, vol. 41(2), pages 195-205, May.
    12. Mauricio Sillano & Juan de Dios Ortúzar, 2005. "Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence," Environment and Planning A, , vol. 37(3), pages 525-550, March.
    13. Gutiérrez, Margareth & Hurtubia, Ricardo & Ortúzar, Juan de Dios, 2025. "Willingness to change compulsory trips to bicycle: Role of habit, perceptions and the built environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 193(C).
    14. Navarrete, Francisca Javiera & Ortúzar, Juan de Dios, 2013. "Subjective valuation of the transit transfer experience: The case of Santiago de Chile," Transport Policy, Elsevier, vol. 25(C), pages 138-147.
    15. Elisabetta Cherchi & Francesco Manca, 2011. "Accounting for inertia in modal choices: some new evidence using a RP/SP dataset," Transportation, Springer, vol. 38(4), pages 679-695, July.
    16. Guajardo Ortega, Maria Fernanda & Link, Heike, 2025. "Mode choice inertia and shock: Three months of almost fare-free public transport in Germany," Economics of Transportation, Elsevier, vol. 41(C).
    17. Lissy Paix & Abu Toasin Oakil & Frank Hofman & Karst Geurs, 2022. "The influence of panel effects and inertia on travel cost elasticities for car use and public transport," Transportation, Springer, vol. 49(3), pages 989-1016, June.
    18. González, Rosa Marina & Marrero, Ángel Simón & Cherchi, Elisabetta, 2017. "Testing for inertia effect when a new tram is implemented," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 150-159.
    19. Thorhauge, Mikkel & Swait, Joffre & Cherchi, Elisabetta, 2020. "The habit-driven life: Accounting for inertia in departure time choices for commuting trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 272-289.
    20. Xuemei Fu, 2021. "How habit moderates the commute mode decision process: integration of the theory of planned behavior and latent class choice model," Transportation, Springer, vol. 48(5), pages 2681-2707, October.
    21. María Yáñez & Elisabetta Cherchi & Benjamin Heydecker & Juan de Dios Ortúzar, 2011. "On the Treatment of Repeated Observations in Panel Data: Efficiency of Mixed Logit Parameter Estimates," Networks and Spatial Economics, Springer, vol. 11(3), pages 393-418, September.
    22. Cherchi, Elisabetta & Cirillo, Cinzia & Ortúzar, Juan de Dios, 2017. "Modelling correlation patterns in mode choice models estimated on multiday travel data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 146-153.
    23. Heckman, James J. & Singer, Burton, 1986. "Econometric analysis of longitudinal data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 29, pages 1689-1763, Elsevier.
    24. Golob, Thomas F. & Van Wissen, Leo, 1989. "A Joint Household Travel Distance Generation And Car Ownership Model," University of California Transportation Center, Working Papers qt72h4k912, University of California Transportation Center.
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