• Abstract

    Contextual Modulation of Tourist Ride-hailing Choice: Parametric Reconfiguration or Measurement Artifact?

    Published date: 09/09/2026

    Purpose: This paper aims to examine whether the greater importance assigned to perceived protection in tourists' ride-hailing choice reflects genuine behavioral reconfiguration or measurement artifacts by assessing the roles of measurement equivalence, sample composition, and contextual effects on mode choice.

    Design/methodology/approach: A quantitative research design was adopted using data from 2,000 tourists interviewed in eight Brazilian state capitals. The analyses included measurement invariance testing across groups, logistic regression models controlling for sample composition through propensity score methods, and robustness analyses to assess the stability of the findings.

    Findings: The results indicate that part of the observed modulation in the importance attributed to perceived protection is explained by measurement and sample composition effects. However, a residual contextual effect remains, consistent with the selective activation of protection predicted by Protection Motivation Theory. Differences between domestic and international tourists decrease as travel experience increases, suggesting that informational asymmetry and situational learning provide a better explanation than stable cultural differences.

    Practical implications: The findings provide guidance for destination managers and ride-hailing platforms by indicating that initiatives aimed at reducing uncertainty, strengthening perceived protection, and improving information provided to tourists may support safer and more efficient mobility decisions.

    Originality/value: This study advances the tourism mobility literature by demonstrating that observed differences between groups may simultaneously reflect contextual effects and measurement artifacts, highlighting the importance of integrating measurement equivalence procedures into studies of tourist mode choice.

    Research limitations: The findings are based on tourists interviewed in Brazilian state capitals and on ride-hailing mode choice. Future research should examine other tourism settings, transport modes, and longitudinal designs to extend the generalizability of the results.

  • References

    Ai, C., & Norton, E. C. (2003). Interaction terms in logit and probit models. Economics Letters, 80(1), 123-129. https://doi.org/10.1016/S0165-1765(03)00032-6

    Austin, P. C. (2011). An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behavioral Research, 46(3), 399-424. https://doi.org/10.1080/00273171.2011.568786

    Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial factorial invariance. Psychological Bulletin, 105(3), 456-466. https://doi.org/10.1037/0033-2909.105.3.456

    Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233-255. https://doi.org/10.1207/S15328007SEM0902_5

    Dew, R., Ascarza, E., Netzer, O., & Sicherman, N. (2023). Detecting routines: Applications to ridesharing customer relationship management. Journal of Marketing Research, 60(5), 891-910. https://doi.org/10.1177/00222437231189185

    Floyd, D. L., Prentice-Dunn, S., & Rogers, R. W. (2000). A meta-analysis of research on Protection Motivation Theory. Journal of Applied Social Psychology, 30(2), 407-429. https://doi.org/10.1111/j.1559-1816.2000.tb02323.x

    Fuchs, G., & Reichel, A. (2011). An exploratory inquiry into destination risk perceptions and risk reduction strategies of first time vs. repeat visitors to a highly volatile destination. Tourism Management, 32(2), 266-276. https://doi.org/10.1016/j.tourman.2010.01.012

    Hensher, D. A., Rose, J. M., & Greene, W. H. (2015). Applied choice analysis (2nd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9781316136232

    Herjanto, H., Amin, M., Cobanoglu, C., & Chon, K. (2024). Tourist acceptance of using ride-sharing services in a tourism destination: Hedonia vs eudaimonia and technophilia vs technophobia. International Journal of Tourism Cities. https://doi.org/10.1108/IJTC-04-2024-0090

    Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. Sage.

    Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118

    Hu, S., & Yang, Y. (2024). Safety of female ride-hailing passengers: Perception and prevention. Humanities and Social Sciences Communications, 11, 265. https://doi.org/10.1057/s41599-024-02740-z

    Lee, S., Lee, W., & Vogt, C. A. (2021). A comparative analysis of factors influencing millennial travellers’ intentions to use ride-hailing. Information Technology & Tourism, 23, 133-157. https://doi.org/10.1007/s40558-021-00194-6

    Mageto, J., & Luke, R. (2024). Perceived risks and intention to use ride-hailing services: Insights from an emerging market. Journal of Transport and Supply Chain Management, 19, a1173. https://doi.org/10.4102/jtscm.v19i0.1173

    McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105-142). Academic Press.

    Nguyen-Phuoc, D. Q., Su, D. N., Nguyen, M. H., Vo, N. S., & Oviedo-Trespalacios, O. (2022). Factors influencing intention to use on-demand shared ride-hailing services in Vietnam: Risk, cost or sustainability? Journal of Transport Geography, 99, 103302. https://doi.org/10.1016/j.jtrangeo.2022.103302

    Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539-569. https://doi.org/10.1146/annurev-psych-120710-100452

    Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879

    Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010). Risk, uncertainty and the theory of planned behavior: A tourism example. Tourism Management, 31(6), 797-805. https://doi.org/10.1016/j.tourman.2009.08.006

    Rayle, L., Dai, D., Chan, N., Cervero, R., & Shaheen, S. (2016). Just-a-ride? Estimating the net effects of ride-sourcing on public transit, taxis, and vehicle miles traveled. Transport Policy, 45, 168-178. https://doi.org/10.1016/j.tranpol.2015.10.004

    Ricardianto, P., Ikhsan, R. B., Suryobuwono, A. A., Setiawan, E. B., Raharjo, E. P., Rahandi, R., & Cahyadi, D. (2024). What makes consumers attitudinal loyalty on ride-hailing services? An investigation of Indonesian consumers perceived safety in using ride-hailing apps. Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100306. https://doi.org/10.1016/j.joitmc.2024.100306

    Roehl, W. S., & Fesenmaier, D. R. (1992). Risk perceptions and pleasure travel: An exploratory analysis. Journal of Travel Research, 30(4), 17-26. https://doi.org/10.1177/004728759203000403

    Rogers, R. W. (1975). A Protection Motivation Theory of fear appeals and attitude change. The Journal of Psychology, 91(1), 93-114. https://doi.org/10.1080/00223980.1975.9915803

    Rosenbaum, P. R. (2002). Observational studies (2nd ed.). Springer. https://doi.org/10.1007/978-1-4757-3692-2

    Sá, A. L. S., Lavieri, P. S., & Pitombo, C. S. (2025). Ride-hailing as a safer transport option: Evidence from frequency of use and commuting choices in Brazil. Latin American Transport Studies, 3, Article 100042. https://doi.org/10.1016/j.latran.2025.100042

    Train, K. E. (2009). Discrete choice methods with simulation (2nd ed.). Cambridge University Press.

    Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4-70. https://doi.org/10.1177/109442810031002

    Violin, F. L. (2022). Motivadores de uso do ride-hailing no Brasil. Revista de Ciências da Administração, 24(62). https://doi.org/10.5007/2175-8077.2022.e83278

    Violin, F. L. (2025). She rides: Exploring the trends and triggers of female ride-hailing in Brazil's capitals. Revista Pensamento Contemporâneo em Administração, 19(1), 60-74. https://doi.org/10.12712/rpca.v19i1.66748

Turismo: Visão e Ação

Turismo: Visão e Ação, linked to the Graduate Program in Tourism and Hospitality - Master's and Ph.D., is a scientific journal published in a continuous flow system, with an interdisciplinary and international scope. According to Qualis/CAPES criteria (2021-2024), it is classified as 'A4' in the fields of Administration, Accounting Sciences, and Tourism. Registered with ISSN number 1983-7151, Tourismo: Visão e Ação began its activities in 1998 with printed publications in English and Portuguese. In 2008, it transitioned to an online publication, expanding its reach to a broader audience. It maintains a policy of being an open-access journal without submission or access fees. The abbreviated title for the journal is Tur., Visão e Ação, commonly used in bibliographies, footnotes, references, and bibliographic captions.

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