IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i17p10869-d902968.html
   My bibliography  Save this article

Can Complete-Novice E-Bike Riders Be Trained to Detect Unmaterialized Traffic Hazards in the Urban Environment? An Exploratory Study

Author

Listed:
  • Anat Meir

    (Faculty of Industrial Engineering and Technology Management, Holon Institute of Technology (HIT), Holon 5810201, Israel)

Abstract

Although hazard perception is an important skill found to be crucial for negotiating traffic among various types of road users, few studies have systematically investigated e-bike riders’ ability to perceive potential unmaterialized hazardous situations or aimed to enhance these abilities through training. The present study explored the formation of two hazard perception training interventions based upon exposing young complete-novice e-bike riders to a vast array of materialized traffic hazards, with the aim of evaluating their effectiveness in enriching the ability to anticipate unmaterialized hazards. Young complete-novice e-bike riders were allocated into one of two intervention modes (‘Act and Anticipate Training’ or ‘Predictive and Commentary Training’) or a control group (ten in each group). AAT members underwent a theoretical tutorial, then observed clips depicting real-time hazardous situations footage taken from an e-bike rider’s perspective and were asked to perform a hazard detection task. PCT members underwent a theoretical tutorial, then a ‘what might happen next?’ task, followed by observation of video footage with expert commentary. A week later, participants were requested to complete a hazard perception test, during which they viewed ten videos and pressed a response button whenever they identified a hazardous situation. Overall, participants in both interventions were more aware of potential unmaterialized hazards compared to the control in both their response sensitivity and verbal descriptions. Trainees were responsive to the developed training interventions. Thus, actively detecting materialized hazards may produce effective training that enriches these road users’ hazard perception skills and allows them to safely negotiate traffic. Advantages of each of the training methodologies along with implications for intervention strategies, licensing, and policy development are discussed.

Suggested Citation

  • Anat Meir, 2022. "Can Complete-Novice E-Bike Riders Be Trained to Detect Unmaterialized Traffic Hazards in the Urban Environment? An Exploratory Study," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10869-:d:902968
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/17/10869/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/17/10869/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elliot Fishman & Christopher Cherry, 2016. "E-bikes in the Mainstream: Reviewing a Decade of Research," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 72-91, January.
    2. Wafa Elias & Victoria Gitelman, 2018. "Youngsters’ Opinions and Attitudes toward the Use of Electric Bicycles in Israel," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    3. Larsen, K. & Gilliland, J. & Hess, P. & Tucker, P. & Irwin, J. & He, M., 2009. "The influence of the physical environment and sociodemographic characteristics on children's mode of travel to and from school," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 520-526.
    4. Geoffrey Rose, 2012. "E-bikes and urban transportation: emerging issues and unresolved questions," Transportation, Springer, vol. 39(1), pages 81-96, January.
    5. Changxi Ma & Dong Yang & Jibiao Zhou & Zhongxiang Feng & Quan Yuan, 2019. "Risk Riding Behaviors of Urban E-Bikes: A Literature Review," IJERPH, MDPI, vol. 16(13), pages 1-18, June.
    6. McMillan, Tracy & Day, Kristen & Boarnet, Marlon & Alfonzo, Mariela & Anderson, Craig, 2006. "Johnny Walks to School - Does Jane? Sex Differences in Children's Active Travel to School," University of California Transportation Center, Working Papers qt22f7k6z8, University of California Transportation Center.
    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. Jenkins, Michael & Lustosa, Lucio & Chia, Victoria & Wildish, Sarah & Tan, Maria & Hoornweg, Daniel & Lloyd, Meghann & Dogra, Shilpa, 2022. "What do we know about pedal assist E-bikes? A scoping review to inform future directions," Transport Policy, Elsevier, vol. 128(C), pages 25-37.
    2. Ziwen Ling & Christopher R. Cherry & John H. MacArthur & Jonathan X. Weinert, 2017. "Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
    3. Wafa Elias & Victoria Gitelman, 2018. "Youngsters’ Opinions and Attitudes toward the Use of Electric Bicycles in Israel," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    4. Jurgis Zagorskas & Marija Burinskienė, 2019. "Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities," Sustainability, MDPI, vol. 12(1), pages 1-13, December.
    5. Jadwiga Biegańska & Elżbieta Grzelak-Kostulska & Michał Adam Kwiatkowski, 2021. "A Typology of Attitudes towards the E-Bike against the Background of the Traditional Bicycle and the Car," Energies, MDPI, vol. 14(24), pages 1-21, December.
    6. Tao Wang & Sihong Xie & Xiaofei Ye & Xingchen Yan & Jun Chen & Wenyong Li, 2020. "Analyzing E-Bikers’ Risky Riding Behaviors, Safety Attitudes, Risk Perception, and Riding Confidence with the Structural Equation Model," IJERPH, MDPI, vol. 17(13), pages 1-18, July.
    7. Ermagun, Alireza & Samimi, Amir, 2015. "Promoting active transportation modes in school trips," Transport Policy, Elsevier, vol. 37(C), pages 203-211.
    8. van Lierop, D. & Soemers, J. & Hoeke, L. & Liu, G. & Chen, Z. & Ettema, D. & Kruijf, J., 2020. "Wayfinding for cycle highways: Assessing e-bike users' experiences with wayfinding along a cycle highway in the Netherlands," Journal of Transport Geography, Elsevier, vol. 88(C).
    9. Saad AlQuhtani, 2023. "Factors Affecting Active Commuting to School in Sprawled Cities: The Case of Najran City, Saudi Arabia," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    10. Hsin-Ping Hsu & Jean-Daniel Saphores, 2014. "Impacts of parental gender and attitudes on children’s school travel mode and parental chauffeuring behavior: results for California based on the 2009 National Household Travel Survey," Transportation, Springer, vol. 41(3), pages 543-565, May.
    11. Alireza Ermagun & Amir Samimi, 2018. "Mode choice and travel distance joint models in school trips," Transportation, Springer, vol. 45(6), pages 1755-1781, November.
    12. Yanqun Yang & Linwei Wang & Said M. Easa & Xinyi Zheng, 2022. "Analysis of Electric Bicycle Riders’ Use of Mobile Phones While Riding on Campus," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    13. Esther Salmeron-Manzano & Francisco Manzano-Agugliaro, 2018. "The Electric Bicycle: Worldwide Research Trends," Energies, MDPI, vol. 11(7), pages 1-16, July.
    14. McDonald, Noreen C., 2012. "Is there a gender gap in school travel? An examination of US children and adolescents," Journal of Transport Geography, Elsevier, vol. 20(1), pages 80-86.
    15. Zwerts, Enid & Allaert, Georges & Janssens, Davy & Wets, Geert & Witlox, Frank, 2010. "How children view their travel behaviour: a case study from Flanders (Belgium)," Journal of Transport Geography, Elsevier, vol. 18(6), pages 702-710.
    16. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "To be or not to be dockless: Empirical analysis of dockless bikeshare development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 122-147.
    17. Synek, Stefan & Koenigstorfer, Joerg, 2018. "Exploring adoption determinants of tax-subsidized company-leasing bicycles from the perspective of German employers and employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 238-260.
    18. Ton, Danique & Duives, Dorine, 2021. "Understanding long-term changes in commuter mode use of a pilot featuring free e-bike trials," Transport Policy, Elsevier, vol. 105(C), pages 134-144.
    19. Tuğba Yeğin & Muhammad Ikram, 2022. "Analysis of Consumers’ Electric Vehicle Purchase Intentions: An Expansion of the Theory of Planned Behavior," Sustainability, MDPI, vol. 14(19), pages 1-27, September.
    20. Dan Zhou & Mengying Chang & Guobin Gu & Xin Sun & Huizhi Xu & Wenhan Wang & Tao Wang, 2022. "Analysis of Risky Driving Behavior of Urban Electric Bicycle Drivers for Improving Safety," Sustainability, MDPI, vol. 14(3), pages 1-19, January.

    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:14:y:2022:i:17:p:10869-:d:902968. 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.