Exploring the facilitators and barriers to high-risk behaviors among school transportation drivers: a qualitative study

Author:

Fathizadeh Shadi,Karimy Mahmood,Tavousi Mahmoud,Zamani-Alavijeh Fereshteh

Abstract

Abstract Background School transportation (ST) crashes are associated with serious adverse consequences, particularly for students in developing countries. High-risk behaviors (HRBs) of ST drivers are a major factor contributing to ST crashes. This study aimed at exploring the facilitators and barriers to HRBs among ST drivers. Methods This qualitative study was conducted in 2019–2020. Participants were ST drivers, students, parents, and school staff purposively selected from Tehran, Iran. Data were collected through in-depth semi-structured interviews and focus group discussions and were concurrently analyzed through conventional content analysis. Findings Participants were fifteen ST drivers with a mean age of 45 ± 10.2 years and 24 students, parents, and school staff with a mean age of 28.62 ± 16.08 years. The facilitators and barriers to HRBs came into five main categories, namely previous experiences of HRBs, perceived gains and risks of HRBs, motivating and inhibiting feelings and emotions, positive and negative subjective norms, and perceived mastery in driving. Conclusion A wide range of facilitators and barriers can affect HRBs among ST drivers. Strategies for preventing HRBs among ST drivers should be multidimensional and individualized and should focus on strengthening the barriers and removing the facilitators to HRBs.

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference66 articles.

1. Kalogirou K, Chalkia E, Bekiaris E, Diederichs F. An application for the information of children according their school transportation. Procedia Soc Behav Sci. 2012;48:363–72.

2. Temiz Z, Yilmaz S. Attention! School Bus. Online Submission. 2018;4(2):276–88.

3. Fennelly LJ, Perry M. The handbook for school safety and security: Best practices and procedures. Butterworth-Heinemann; 2014.

4. Parents and Teachers Association. Online tracking system for school transport in Iran 2019. https://www.en.eghtesadonline.com/Section-technology-13/28132-online-tracking-system-for-schooltransport-in-iran, https://www.amar.org.ir/english/Statistics-by-Topic.

5. Yasmin S, Anowar S, Tay R, editors. Factors contributing to school bus crashes. Journal of the transportation research forum. 2013.

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