Assessing the Willingness to Pay for Accident Prevention: A Case Study of Phranakhon Si Ayutthaya Rajabhat University Students

Authors

  • Monnapat Bussaparoek Department of Tourism and Hospitality, Faculty of Management Science, Phranakhon Si Ayutthaya Rajabhat University
  • Chatchai Niyaboon Department of Management, Faculty of Management Science, Phranakhon Si Ayutthaya Rajabhat University

Keywords:

Willingness to Pay, Accident Prevention, Cost–Benefit Analysis, Students

Abstract

This study aimed to examine 1) the costs and benefits associated with students’ willingness to pay (WTP) for accident prevention, and 2) the factors influencing accident prevention behaviors at Phranakhon Si Ayutthaya Rajabhat University. The sample consisted of 168 students who wore helmets during the 2024 academic year, selected using purposive sampling combined with the snowball technique. Data were collected through questionnaires and analyzed using descriptive statistics and economic analyses, including cost–benefit analysis (CBA) and multiple regression.

The findings revealed that the cost–benefit analysis (CBA) of helmet use among students yielded positive outcomes across all dimensions. In cases where accident-related costs increased by 20,000 baht, the largest proportion consisted of intangible costs, accounting for 45 –48 percent, reflecting losses in quality of life, followed by opportunity costs (27–29 percent), which affected academic performance. In terms of economic feasibility, all faculties demonstrated benefit–cost ratios (BCR) greater than 1 (ranging from 1.01 to 1.13) and positive net present values (NPV), confirming that promoting helmet use is a cost-effective measure. Furthermore, the regression analysis indicated that the most significant factor influencing willingness to pay (WTP) for accident prevention was the purchase of personal accident insurance, followed by expenditures on standardized helmets and motorcycle maintenance. In contrast, the perception of risk-reduction information was not statistically significant. Therefore, educational institutions should promote helmet use among students by implementing concrete measures aligned with students' actual decision-making behaviors to effectively enhance accident prevention.

References

Becker, G. S. (1964). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press.

Boardman, A. E., Greenberg, D. H., Vining, A. R., & Weimer, D. L. (2018). Cost–benefit analysis: Concepts and practice (5th ed.). Cambridge University Press.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the economic evaluation of health care programmes (4th ed.). Oxford University Press.

Grossman, M. (1972). On the concept of health capital and the demand for health. Journal of Political Economy, 80(2), 223–255. https://doi.org/10.1086/259880

Isara, T., & Kanyaprin, T. (2020). Factors affecting traffic rule compliance behavior of motorcycle riders in Songkhla province. Humanities & Social Sciences Journal, 37(1), 161–186.

Kukiet, K., & Wiphada, S. (2020). Causal factors affecting helmet use behavior among public health students of Pibulsongkram Rajabhat University, Phitsanulok province. Journal of Science and Technology MSU, 39(3), 323–330.

Mitchell, R. C., & Carson, R. T. (1989). Using surveys to value public goods: The contingent valuation method. Resources for the Future.

Naruedee, P., Wassana, W., Ratthaphon, P., Pimchannapa, K., Rungnapha, D. M., & Teeraphat, P. (2021). Behaviors of safe bike riding among undergraduate riders, Nakhonratchasima College. Pathumthani University Academic Journal, 13(1), 203–214.

Office of Transport and Traffic Policy and Planning. (2025). Road accident analysis annual report.

Phacharakununya, P., Vorapongsathorn, S., Vorapongsathorn, T., Rodjakpai, Y., & Chooratna, K. (2020).

Factors influencing safety-helmet wearing behaviors to prevent accidents from motorcycle riding of students in the Institute of Physical Education, Chon Buri Campus. Academic Journal of Thailand National Sports University, 12(2), 226–238.

Pigou, A. C. (1932). The economics of welfare (4th ed.). Macmillan.

Potaya, S., Intaram, W., & Prakobkit, K. (2022). Factors predicting preventive behaviors in road traffic injury among motorcycle riders in the northern Bangkok area. Nursing Journal of the Ministry of Public Health, 32(3), 25-32.

Puttawong, C., & Chaturabong, P. (2020). Willingness-to-pay for estimation the risk pedestrian group accident cost. Civil Engineering Journal (Iran), 6(6), 1064–1073.

Road Accident Data Center for Road Safety Culture. (2024). National statistics report on road traffic accident victims.

Rodphadung, P., & Attavanich, W. (2022). Determinants of purchasing international travel insurance of Thai tourists. Journal of Suvarnabhumi Institute of Technology (Humanities and Social Sciences), 8(1), 353–365.

Sánchez-Martínez, F.-I., Martínez-Pérez, J.-E., Abellán-Perpiñán, J.-M., & Pinto-Prades, J.-L. (2021). The value of statistical life in the context of road safety: New evidence on the contingent valuation/standard gamble chained approach. Journal of Risk and Uncertainty, 63, 203–228.

Spencer, G., Alluhidan, M., Reithinger, R., Alsukait, R. F., Czapski, R., Alamri, A., Cetinkaya, V., Alshehri, F., Dahdah, S., Hamza, M. M., Herbst, C. H., & Alghnam, S. (2025). Assessing the economic cost of road traffic crashes in Saudi Arabia: Potential savings from scaling up interventions. Frontiers in Public Health, 13, 01-08.

Sribenchamas, N., Thueakkhamchao, P., & Juntakun, S. (2021). Factors predicting motorcycle accident prevention behaviors of high school students. Thai Pharmaceutical and Health Science Journal, 16(1), 16-22.

Wisutwattanasak, P., Jomnonkwao, S., Khampirat, B., Raungratanaamporn, I.-S., & Ratanavaraha, V. (2024). Multilevel structural equation modeling of willingness-to-pay for fatality risk reduction: Perspectives of driver and district levels. International Journal of Injury Control and Safety Promotion, 31(1), 96–110.

World Health Organization. (2023). Global status report on road safety. https://www.who.int/publications/i/item/9789240086517

Downloads

Published

04/29/2026