IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i23p8797-d451776.html
   My bibliography  Save this article

Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling

Author

Listed:
  • Savalee Uttra

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Napat Laddawan

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Vatanavongs Ratanavaraha

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Sajjakaj Jomnonkwao

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

Abstract

Road accidents are caused by humans, vehicles, and road environments. Human attitudes affect behavioral changes and can lead to unsafe riding behavior. The sex of an individual is a key factor that affects their riding behavior. We aimed to use structural equation modeling (SEM) by analyzing the multi-group SEM between men and women and applying the theory of planned behavior (TPB) and the locus of control (LC) theory. The data used in the research were collected from all over Thailand, consisting of 1516 motorcycle riders (903 men and 613 women) aged over 20 years. A self-administered questionnaire was designed for data collection of the riding behavior using the Motorcycle Rider Behavior Questionnaire (MRBQ), including traffic errors, control errors, stunt frequency, and safety equipment. We found that riding behaviors between men and women were significantly different in both theories. For men, TPB showed that the main factors that highly influenced motorcycle riding behavior (MRB) were the attitudes based on health motivation (AHM) and perceived behavior control (PC); for women, AHM produced a stronger effect than in men. However, for the subjective norms (SN) factor, we found no direct effect on MRB, but did find an indirect effect through the attitudes based on severity (ASE) in both sexes. Particularly for women, the indirect influence value of the SN factor was higher. For women, the LC showed that internal factors had more influence than external factors. The same was found for men, but the effect in women was significantly stronger. We found that sex significantly affected the MRB. Therefore, policies must be implemented that address each group specifically as their attitudes and behaviors are different.

Suggested Citation

  • Savalee Uttra & Napat Laddawan & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2020. "Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling," IJERPH, MDPI, vol. 17(23), pages 1-22, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:23:p:8797-:d:451776
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/23/8797/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/23/8797/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Sajjakaj Jomnonkwao & Onanong Sangphong & Buratin Khampirat & Siradol Siridhara & Vatanavongs Ratanavaraha, 2016. "Public transport promotion policy on campus: evidence from Suranaree University in Thailand," Public Transport, Springer, vol. 8(2), pages 185-203, September.
    4. Lai, Wen-Tai & Chen, Ching-Fu, 2011. "Behavioral intentions of public transit passengers--The roles of service quality, perceived value, satisfaction and involvement," Transport Policy, Elsevier, vol. 18(2), pages 318-325, March.
    5. Savalee Uttra & Sajjakaj Jomnonkwao & Duangdao Watthanaklang & Vatanavongs Ratanavaraha, 2020. "Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ)," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    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. Sarah Najm Abdulwahid & Moamin A. Mahmoud & Bilal Bahaa Zaidan & Abdullah Hussein Alamoodi & Salem Garfan & Mohammed Talal & Aws Alaa Zaidan, 2022. "A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations," IJERPH, MDPI, vol. 19(6), pages 1-38, March.
    2. Thomas Rauer & Andrin Aschwanden & Benjamin B. Rothrauff & Hans-Christoph Pape & Julian Scherer, 2023. "Fractures of the Lower Extremity after E-Bike, Bicycle, and Motorcycle Accidents: A Retrospective Cohort Study of 624 Patients," IJERPH, MDPI, vol. 20(4), pages 1-10, February.
    3. Thanapong Champahom & Sajjakaj Jomnonkwao & Woraanong Thotongkam & Pornsiri Jongkol & Porntip Rodpon & Vatanavongs Ratanavaraha, 2023. "Investigating Parents’ Attitudes towards the Use of Child Restraint Systems by Comparing Non-Users and User Parents," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    4. Thanapol Promraksa & Thaned Satiennam & Wichuda Satiennam & Patiphan Kaewwichian & Nopadon Kronprasert, 2022. "Factors Influencing Stopping Locations of Motorcycle Riders on Signalized Urban Intersection Approaches," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    5. 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. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    2. Savalee Uttra & Sajjakaj Jomnonkwao & Duangdao Watthanaklang & Vatanavongs Ratanavaraha, 2020. "Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ)," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    3. Allen, Jaime & Eboli, Laura & Forciniti, Carmen & Mazzulla, Gabriella & Ortúzar, Juan de Dios, 2019. "The role of critical incidents and involvement in transit satisfaction and loyalty," Transport Policy, Elsevier, vol. 75(C), pages 57-69.
    4. Hamid Mahmood Gelaidan & Abdullah Al-Swidi & Muhammad Haroon Hafeez, 2023. "Studying the Joint Effects of Perceived Service Quality, Perceived Benefits, and Environmental Concerns in Sustainable Travel Behavior: Extending the TPB," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    5. Joachim Scheiner & Christian Holz-Rau, 2007. "Travel mode choice: affected by objective or subjective determinants?," Transportation, Springer, vol. 34(4), pages 487-511, July.
    6. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2019. "The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 37-57.
    7. Machado-León, José Luis & de Oña, Rocío & de Oña, Juan, 2016. "The role of involvement in regards to public transit riders' perceptions of the service," Transport Policy, Elsevier, vol. 48(C), pages 34-44.
    8. Jomnonkwao, Sajjakaj & Ratanavaraha, Vatanavongs, 2016. "Measurement modelling of the perceived service quality of a sightseeing bus service: An application of hierarchical confirmatory factor analysis," Transport Policy, Elsevier, vol. 45(C), pages 240-252.
    9. Farag, Sendy & Lyons, Glenn, 2012. "To use or not to use? An empirical study of pre-trip public transport information for business and leisure trips and comparison with car travel," Transport Policy, Elsevier, vol. 20(C), pages 82-92.
    10. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2019. "Perceived Value and Customer Adoption of Electric and Hybrid Vehicles," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    11. Ingrid Moons & Patrick De Pelsmacker, 2015. "An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison," Sustainability, MDPI, vol. 7(5), pages 1-34, May.
    12. Nguyen-Phuoc, Duy Quy & Su, Diep Ngoc & Nguyen, Minh Hieu & Vo, Nguyen S. & Oviedo-Trespalacios, Oscar, 2022. "Factors influencing intention to use on-demand shared ride-hailing services in Vietnam: risk, cost or sustainability?," Journal of Transport Geography, Elsevier, vol. 99(C).
    13. Jingkang Gao & Jinhua Zhao, 2017. "Normative and image motivations for transportation policy compliance," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3318-3336, November.
    14. De Vos, Jonas, 2018. "Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 261-274.
    15. Ahmad Nazrul Hakimi Ibrahim & Muhamad Nazri Borhan & Riza Atiq O.K. Rahmat, 2020. "Understanding Users’ Intention to Use Park-and-Ride Facilities in Malaysia: The Role of Trust as a Novel Construct in the Theory of Planned Behaviour," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    16. Pan, Jing Yu & Truong, Dothang, 2018. "Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 38-48.
    17. De Vos, Jonas & Witlox, Frank, 2017. "Travel satisfaction revisited. On the pivotal role of travel satisfaction in conceptualising a travel behaviour process," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 364-373.
    18. Mohammed Aminu Sualihu & M. Arifur Rahman & Zakiya Tofik-Abu, 2017. "The Payment Behavior of Water Utility Customers in the Greater Accra Region of Ghana: An Empirical Analysis," SAGE Open, , vol. 7(3), pages 21582440177, September.
    19. Lorelei Schmitt & Graham Currie & Alexa Delbosc, 2015. "Lost in transit? Unfamiliar public transport travel explored using a journey planner web survey," Transportation, Springer, vol. 42(1), pages 101-122, January.
    20. Mandhani, Jyoti & Nayak, Jogendra Kumar & Parida, Manoranjan, 2020. "Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 320-336.

    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:jijerp:v:17:y:2020:i:23:p:8797-:d:451776. 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.