IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p8186-d1149571.html
   My bibliography  Save this article

On Effects of Personality Traits on Travelers’ Heterogeneous Preferences: Insights from a Case Study in Urumqi, China

Author

Listed:
  • Jiangong Hu

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China)

  • Xiaofeng Pan

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China)

  • Ming Zhong

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China)

Abstract

Personality is a psychological concept which reflects people’s characteristic patterns of thoughts, feelings, and behavior. In this sense, it is straightforward to state that people’s behavior is fundamentally affected by their personalities. However, the concept of personality is rarely considered in most travel behavior studies. Given this fact, this paper aims to investigate the effect of personality traits on travelers’ heterogeneous preferences in the context of air itinerary choice. To this end, travelers’ stated choices for air itinerary and information reflecting travelers’ personality traits were collected. After defining specific personality traits based on the collected data, a hybrid choice model with interaction effects between travelers’ personality traits/socio-demographic characteristics and alternative-specific attributes were established and estimated and next the contributions of personality traits and socio-demographic characteristics to travelers’ choice behavior were compared and analyzed. The results confirmed the effects of personality traits on travelers’ heterogeneous preferences. However, the results also revealed that the magnitudes of such effects are not as great as the effects of socio-demographic characteristics.

Suggested Citation

  • Jiangong Hu & Xiaofeng Pan & Ming Zhong, 2023. "On Effects of Personality Traits on Travelers’ Heterogeneous Preferences: Insights from a Case Study in Urumqi, China," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8186-:d:1149571
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/8186/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/10/8186/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    2. Walker, Joan & Ben-Akiva, Moshe, 2002. "Generalized random utility model," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 303-343, July.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    4. Yazdanpanah, Mahdi & Hosseinlou, Mansour Hadji, 2016. "The influence of personality traits on airport public transport access mode choice: A hybrid latent class choice modeling approach," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 147-163.
    5. Munoz, Claudia & Laniado, Henry, 2021. "Airline choice model for international round-trip flights: The role of travelers’ satisfaction and personality traits," Research in Transportation Economics, Elsevier, vol. 90(C).
    6. Van, Hong Tan & Choocharukul, Kasem & Fujii, Satoshi, 2014. "The effect of attitudes toward cars and public transportation on behavioral intention in commuting mode choice—A comparison across six Asian countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 36-44.
    7. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    8. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.
    9. Aizaki, Hideo, 2012. "Basic Functions for Supporting an Implementation of Choice Experiments in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(c02).
    10. Seelhorst, Michael & Liu, Yi, 2015. "Latent air travel preferences: Understanding the role of frequent flyer programs on itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 49-61.
    11. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    12. Cantillo, Víctor & Amaya, Johanna & Ortúzar, J. de D., 2010. "Thresholds and indifference in stated choice surveys," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 753-763, July.
    13. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
    14. Arne Henningsen & Ott Toomet, 2011. "maxLik: A package for maximum likelihood estimation in R," Computational Statistics, Springer, vol. 26(3), pages 443-458, September.
    15. Junghwa Kim & Jan-Dirk Schmöcker & Cecilia Bergstad & Satoshi Fujii & Tommy Gärling, 2014. "The influence of personality on acceptability of sustainable transport policies," Transportation, Springer, vol. 41(4), pages 855-872, July.
    16. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. Pan, Xiaofeng & Liu, Shaobo, 2022. "Modeling travel choice behavior with the concept of image: A case study of college students’ choice of homecoming train trips during the Spring Festival travel rush in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 247-258.
    3. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    4. 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.
    5. Isabel P Albaladejo & M Teresa Díaz-Delfa, 2021. "The effects of motivations to go to the country on rural accommodation choice: A hybrid discrete choice model," Tourism Economics, , vol. 27(7), pages 1484-1507, November.
    6. Tran, Yen & Yamamoto, Toshiyuki & Sato, Hitomi, 2020. "The influences of environmentalism and attitude towards physical activity on mode choice: The new evidences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 211-226.
    7. Marley, A.A.J. & Swait, J., 2017. "Goal-based models for discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 72-88.
    8. Malte Welling & Ewa Zawojska & Julian Sagebiel, 2022. "Information, Consequentiality and Credibility in Stated Preference Surveys: A Choice Experiment on Climate Adaptation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 257-283, May.
    9. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    10. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    11. Schmid, Basil & Becker, Felix & Axhausen, Kay W. & Widmer, Paul & Stein, Petra, 2023. "A simultaneous model of residential location, mobility tool ownership and mode choice using latent variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    12. Macea, Luis F. & Cantillo, Victor & Arellana, Julian, 2018. "Influence of attitudes and perceptions on deprivation cost functions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 125-141.
    13. Choi, Andy S., 2011. "Implicit prices for longer temporary exhibitions in a heritage site and a test of preference heterogeneity: A segmentation-based approach," Tourism Management, Elsevier, vol. 32(3), pages 511-519.
    14. Mark J. Koetse & Roy Brouwer, 2016. "Reference Dependence Effects on WTA and WTP Value Functions and Their Disparity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 723-745, December.
    15. Weibo Li & Maria Kamargianni, 2020. "An Integrated Choice and Latent Variable Model to Explore the Influence of Attitudinal and Perceptual Factors on Shared Mobility Choices and Their Value of Time Estimation," Transportation Science, INFORMS, vol. 54(1), pages 62-83, January.
    16. Muhammad Waqas & Qian-li Dong & Naveed Ahmad & Yuming Zhu & Muhammad Nadeem, 2018. "Understanding Acceptability towards Sustainable Transportation Behavior: A Case Study of China," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    17. Eran Ben-Elia & Robert Ishaq & Yoram Shiftan, 2013. "“If only I had taken the other road...”: Regret, risk and reinforced learning in informed route-choice," Transportation, Springer, vol. 40(2), pages 269-293, February.
    18. Luis Márquez & Víctor Cantillo & Julián Arellana, 2020. "Assessing the influence of indicators’ complexity on hybrid discrete choice model estimates," Transportation, Springer, vol. 47(1), pages 373-396, February.
    19. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.
    20. Morlotti, Chiara & Birolini, Sebastian & Malighetti, Paolo & Redondi, Renato, 2023. "A latent class approach to estimate air travelers’ propensity toward connecting itineraries," Research in Transportation Economics, Elsevier, vol. 99(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8186-:d:1149571. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.