IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i11p6459-d569897.html
   My bibliography  Save this article

Factors Influencing Young Drivers’ Willingness to Engage in Risky Driving Behavior: Continuous Lane-Changing

Author

Listed:
  • Xiaoxiao Wang

    (Department of Traffic Engineering, School of Transportation, Wuhan University of Technology, Wuhan 430063, China
    Department of Traffic Engineering, School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan 467032, China)

  • Liangjie Xu

    (Department of Traffic Engineering, School of Transportation, Wuhan University of Technology, Wuhan 430063, China
    Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang 441053, China)

Abstract

Young adults have a tendency to drive unsafely and put themselves at a high level of risk. Continuous lane-changing is one such kind of risky behavior. This study aimed to investigate the factors that influence young drivers based on an integrated model of the prototype willingness model (PWM) and the theory of planned behavior (TPB). The validity of the model was evaluated by data collected from 481 young drivers through an online questionnaire. The structural equation model was used to test the proposed model, and the findings indicated that young drivers’ willingness to engage in continuous lane-changing was influenced by attitude, subjective norms, perceived behavioral control, perceived risk, prototype similarity, and prototype favorability. The integrated model of PWM-TPB accounted for 58.3% of the variance in young drivers’ willingness, and the findings possess implications for designing effective interventions.

Suggested Citation

  • Xiaoxiao Wang & Liangjie Xu, 2021. "Factors Influencing Young Drivers’ Willingness to Engage in Risky Driving Behavior: Continuous Lane-Changing," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6459-:d:569897
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/11/6459/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/11/6459/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Natalia Casado-Sanz & Begoña Guirao & Maria Attard, 2020. "Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    3. Natalia Casado-Sanz & Begoña Guirao & Antonio Lara Galera & Maria Attard, 2019. "Investigating the Risk Factors Associated with the Severity of the Pedestrians Injured on Spanish Crosstown Roads," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    4. M. Kit Delgado & Kathryn J. Wanner & Catherine McDonald, 2016. "Adolescent Cellphone Use While Driving: An Overview of the Literature and Promising Future Directions for Prevention," Media and Communication, Cogitatio Press, vol. 4(3), pages 79-89.
    5. Jiang, Kang & Ling, Feiyang & Feng, Zhongxiang & Wang, Kun & Shao, Cheng, 2017. "Why do drivers continue driving while fatigued? An application of the theory of planned behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 141-149.
    6. Xiaoxiao Wang & Liangjie Xu & Yanping Hao, 2019. "What factors predict drivers’ self-reported lane change violation behavior at urban intersections? A study in China," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-18, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guo, Yinjia & Chen, Yanyan & Gu, Xin & Guo, Jifu & Zheng, Shuyan & Zhou, Yuntong, 2024. "Dynamic traffic graph based risk assessment of multivehicle lane change interaction scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).
    2. Bircan Arslannur & Ahmet Tortum, 2023. "Public Transport Modeling for Commuting in Cities with Different Development Levels Using Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 15(15), pages 1-24, August.
    3. Nattawut Pumpugsri & Wanchai Rattanawong & Varin Vongmanee, 2023. "Development of a Safety Heavy-Duty Vehicle Model Considering Unsafe Acts, Unsafe Conditions and Near-Miss Events Using Structural Equation Model," Sustainability, MDPI, vol. 15(16), pages 1-20, August.

    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. Vorapot Sapsirisavat & Wiriya Mahikul, 2021. "Drinking and Night-Time Driving May Increase the Risk of Severe Health Outcomes: A 5-Year Retrospective Study of Traffic Injuries among International Travelers at a University Hospital Emergency Cente," IJERPH, MDPI, vol. 18(18), pages 1-9, September.
    2. Bircan Arslannur & Ahmet Tortum, 2023. "Public Transport Modeling for Commuting in Cities with Different Development Levels Using Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 15(15), pages 1-24, August.
    3. Yunteng Chen & Xianyong Liu & Jinliang Xu & Huan Liu, 2022. "Underestimated Risk Perception Characteristics of Drivers Based on Extended Theory of Planned Behavior," IJERPH, MDPI, vol. 19(5), pages 1-19, February.
    4. Weiwei Qi & Shufang Zhu & Wanqing Long, 2023. "Exploring the factors that affect the defensive driving behavior of bus drivers: the application of TPB and PMT theories," Public Transport, Springer, vol. 15(1), pages 227-251, March.
    5. Debbie Hopkins & Enrique García Bengoechea & Sandra Mandic, 2021. "Adolescents and their aspirations for private car-based transport," Transportation, Springer, vol. 48(1), pages 67-93, February.
    6. Alireza Mohammadi & Behzad Kiani & Hassan Mahmoudzadeh & Robert Bergquist, 2023. "Pedestrian Road Traffic Accidents in Metropolitan Areas: GIS-Based Prediction Modelling of Cases in Mashhad, Iran," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    7. Maria Andersson & Ola Eriksson & Chris Von Borgstede, 2012. "The Effects of Environmental Management Systems on Source Separation in the Work and Home Settings," Sustainability, MDPI, vol. 4(6), pages 1-17, June.
    8. Tran Huy Phuong & Thanh Trung Hieu, 2015. "Predictors of Entrepreneurial Intentions of Undergraduate Students in Vietnam: An Empirical Study," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(8), pages 46-55, August.
    9. Peng Cheng & Zhe Ouyang & Yang Liu, 0. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 0, pages 1-20.
    10. Alsalem, Amani & Fry, Marie-Louise & Thaichon, Park, 2020. "To donate or to waste it: Understanding posthumous organ donation attitude," Australasian marketing journal, Elsevier, vol. 28(3), pages 87-97.
    11. Mohammed Akhmaaj, Asmaeil Ali & Sharif, Mohamed Omar, 2024. "The effects of planned behavior model constructs and technology acceptance model constructs on online purchasing behavior: An empirical study on internet users in the Libya city of Tripoli," Technology in Society, Elsevier, vol. 79(C).
    12. Benoît Lécureux & Adrien Bonnet & Ouassim Manout & Jaâfar Berrada & Louafi Bouzouina, 2022. "Acceptance of Shared Autonomous Vehicles: A Literature Review of stated choice experiments," Working Papers hal-03814947, HAL.
    13. Kristin Thomas & Evalill Nilsson & Karin Festin & Pontus Henriksson & Mats Lowén & Marie Löf & Margareta Kristenson, 2020. "Associations of Psychosocial Factors with Multiple Health Behaviors: A Population-Based Study of Middle-Aged Men and Women," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    14. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    15. Ficko, Andrej & Boncina, Andrej, 2013. "Probabilistic typology of management decision making in private forest properties," Forest Policy and Economics, Elsevier, vol. 27(C), pages 34-43.
    16. Muhammad Shahid Qureshi & Saadat Saeed & Syed Waleed Mehmood Wasti, 2016. "Erratum to: The impact of various entrepreneurial interventions during the business plan competition on the entrepreneur identity aspirations of participants," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 6(1), pages 1-1, December.
    17. Julie Bayle-Cordier & Loïc Berger & Rayan Elatmani & Massimo Tavoni, 2023. "Breath, Love, Walk? The Impact of Mindfulness Interventions on Climate Policy Support and Environmental Attitudes," Sustainability, MDPI, vol. 15(13), pages 1-29, July.
    18. Szu‐Szu Ho & Rosie Stenhouse & Aisha Holloway, 2020. "Understanding HIV‐positive drug users’ experiences of taking highly active antiretroviral treatment: Identity–Values–Conscious engagement model," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(9-10), pages 1561-1575, May.
    19. Alexandre Cabagnols & Ali Maâlej & Pierre Mauchand & Olfa Kammoun, 2022. "The determinants of entrepreneurial intention of scientist PhD students: analytical vs emotional formation of the intention," Insights into Regional Development, VsI Entrepreneurship and Sustainability Center, vol. 4(4), pages 63-82, December.
    20. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:13:y:2021:i:11:p:6459-:d:569897. 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.