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Investigating Parents’ Attitudes towards the Use of Child Restraint Systems by Comparing Non-Users and User Parents

Author

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  • Thanapong Champahom

    (Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Sajjakaj Jomnonkwao

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

  • Woraanong Thotongkam

    (Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Pornsiri Jongkol

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

  • Porntip Rodpon

    (Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Vatanavongs Ratanavaraha

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

Abstract

In developing countries, there are no laws to enforce child safety seat use, so there is still a very low rate of use. This study aimed to understand parents’ attitudes toward CRS use based on the health belief model (HBM) theory. To find realistic policies encouraging the use of CRSs, the model was split into two sub-models: a group of parents using a CRS (CRS user) and a group of parents not using a CRS (CRS non-user). Using confirmatory factor analysis (CFA), structural equation modeling (SEM), and measurement invariance (MI) to test the differences between the two parent groups, the CFA results indicated that there were six constructs based on the HBM. According to the individual models of SEM, in the CRS non-user model, no significant latent construct was found to affect the use of CRSs, whereas in the CRS user model, the perceived severity and the cues to action were significant for using a CRS ( p < 0.05). The MI results indicated that the attitudes of the two parent groups were different. The recommendations for policies obtained from the study results include promotion aimed toward increasing safety awareness, public relations regarding CRS usefulness, and pricing strategies from the government sector.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:2896-:d:1058963
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    References listed on IDEAS

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    1. Xiaolong Feng & Mingyue Liu & Xuexi Huo & Wanglin Ma, 2017. "What Motivates Farmers’ Adaptation to Climate Change? The Case of Apple Farmers of Shaanxi in China," Sustainability, MDPI, vol. 9(4), pages 1-15, March.
    2. Ratanavaraha, Vatanavongs & Jomnonkwao, Sajjakaj, 2014. "Model of users׳ expectations of drivers of sightseeing buses: confirmatory factor analysis," Transport Policy, Elsevier, vol. 36(C), pages 253-262.
    3. Catherine C. McDonald & Erin Kennedy & Linda Fleisher & Mark R. Zonfrillo, 2018. "Situational Use of Child Restraint Systems and Carpooling Behaviors in Parents and Caregivers," IJERPH, MDPI, vol. 15(8), pages 1-11, August.
    4. Allen, Jaime & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2019. "Understanding public transport satisfaction: Using Maslow's hierarchy of (transit) needs," Transport Policy, Elsevier, vol. 81(C), pages 75-94.
    5. 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.
    6. Dissakoon Chonsalasin & Sajjakaj Jomnonkwao & Vatanavongs Ratanavaraha, 2020. "Key Determinants of Airline Loyalty Modeling in Thailand," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    7. Chin-Shan Lu, 1999. "Strategic groups in Taiwanese liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 26(1), pages 1-26, January.
    8. Ni, Anning & Zhang, Chunqin & Hu, Yuting & Lu, Weite & Li, Hongwei, 2020. "Influence mechanism of the corporate image on passenger satisfaction with public transport in China," Transport Policy, Elsevier, vol. 94(C), pages 54-65.
    9. Roszalina Ramli & Siti Salmiah Mohd Yunus, 2020. "Malaysian Child Restraint Issues: A Brief Narrative Review," IJERPH, MDPI, vol. 17(6), pages 1-10, March.
    10. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    11. Li, Hongbo & Liu, Yali & Peng, Kaili, 2018. "Characterizing the relationship between road infrastructure and local economy using structural equation modeling," Transport Policy, Elsevier, vol. 61(C), pages 17-25.
    12. Sajjakaj Jomnonkwao & Duangdao Watthanaklang & Onanong Sangphong & Thanapong Champahom & Napat Laddawan & Savalee Uttra & Vatanavongs Ratanavaraha, 2020. "A Comparison of Motorcycle Helmet Wearing Intention and Behavior between Urban and Rural Areas," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    13. Xiangxiang Liu & Jingzhen Yang & Fuyuan Cheng & Liping Li, 2016. "Newborn Parent Based Intervention to Increase Child Safety Seat Use," IJERPH, MDPI, vol. 13(8), pages 1-10, August.
    14. Ahmad Nazrul Hakimi Ibrahim & Muhamad Nazri Borhan & Nor Aznirahani Mhd Yunin, 2020. "Getting Young Drivers to Buckle Up: Exploring the Factors Influencing Seat Belt Use by Young Drivers in Malaysia," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
    15. Watthanaklang, Duangdao & Ratanavaraha, Vatanavongs & Chatpattananan, Vuttichai & Jomnonkwao, Sajjakaj, 2016. "Measuring the motivation to ride bicycles for tourism through a comparison of tourist attractions," Transport Policy, Elsevier, vol. 52(C), pages 153-163.
    16. 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.
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    1. Woraanong Thotongkam & Thanapong Champahom & Chartaya Nilplub & Warantorn Wimuttisuksuntorn & Sajjakaj Jomnonkwao & Vatanavongs Ratanavaraha, 2023. "Influencing Travelers’ Behavior in Thailand Comparing Situations of during and Post COVID-19," Sustainability, MDPI, vol. 15(15), pages 1-23, July.

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