Social Norms–Based Interventions for Risk Driving Behavior in the Upstream Oil and Gas Sector
DOI:
https://doi.org/10.59784/glosains.v7i2.693Keywords:
Social Norms, Risk Driving Behavior, Driving Safety, IVMS, Theory of Planned Behavior, Oil and Gas IndustryAbstract
Background: Driving accidents in the upstream oil and gas sector remain an important problem, especially due to overspeeding behavior that contributes from asset damage to fatalities. Although the company has used the In-Vehicle Monitoring System (IVMS), the use of this data has not been optimal as the basis for behavior change interventions.
Objective: This study aims to analyze the effectiveness of social norms-based interventions within the framework of the Theory of Planned Behavior (TPB) to reduce risky driving behavior in drivers at PT Onshore XYZ.
Methods: The study used a quasi-experimental pretest-posttest control group design involving 42 participants who were divided into an intervention group and a control group. The research instruments include the Driving Behavior Questionnaire (DBQ) and IVMS objective data. The intervention was carried out through the PANDU-K3 program in the form of a social norm feedback poster that displays a comparison of drivers' driving performance.
Results: The results showed that the intervention significantly lowered the score of risky driving behavior in the intervention group (p < 0.001) and lowered the average overspeeding offenses from 19.238 to 4.667, or about 75%. Repeated Measures ANOVA analysis showed a significant interaction of time and group (p = 0.004), while the factors of age, working period, and education had no significant effect.
Conclusion: These findings imply that IVMS-based social norm interventions are effectively applied as a promotive-preventive strategy to strengthen the culture of driving safety in the oil and gas industry.
References
Adrian, J., Postal, V., Moessinger, M., Rascle, N., & Charles, A. (2011). Personality traits and executive functions related to on-road driving performance among older drivers. Accident Analysis and Prevention, 43(5). https://doi.org/10.1016/j.aap.2011.03.023
Bilgin, M. (2025). A New Perspective for Workplace Safety: Psychological Safety and Employee Interaction. Journal of Waste Management & Recycling Technology. https://doi.org/10.47363/jwmrt/2025(3)142
Donmez, B., Merrikhpour, M., & Nooshabadi, M. H. (2021). Mitigating Teen Driver Distraction: In-Vehicle Feedback Based on Peer Social Norms. Human Factors, 63(3). https://doi.org/10.1177/0018720819891285
Engström, J., Markkula, G., Victor, T., & Merat, N. (2017). Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis. Human Factors, 59(5). https://doi.org/10.1177/0018720817690639
Fakhri, N., Lukman, & Yanuar, F. (2020). The Intervention of Nudge With the Social Norms. https://doi.org/10.2991/assehr.k.201027.027
Fernandes, A. R. R. A., Fassarella, C. S., Camerini, F. G., Henrique, D. de M., Nepomuceno, R. de M., & Silva, R. F. A. da. (2021). Safety culture in the operating room: an integrative review. Revista Eletrônica de Enfermagem, 23.
Geber, S., Baumann, E., Czerwinski, F., & Klimmt, C. (2021). The Effects of Social Norms Among Peer Groups on Risk Behavior: A Multilevel Approach to Differentiate Perceived and Collective Norms. Communication Research, 48(3). https://doi.org/10.1177/0093650218824213
Geller, E. S. (1994). Ten principles for achieving a total safety culture. Safety Management, 39(9).
Iversen, H. (2004). Risk-taking attitudes and risky driving behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 7(3). https://doi.org/10.1016/j.trf.2003.11.003
Kimura, R., Tanaka, T., Yoshihara, Y., Fujikake, K., Kanamori, H., & Okada, S. (2023). Estimating Driver Personality Traits from On-Road Driving Data. IEEE Access, 11. https://doi.org/10.1109/ACCESS.2023.3308819
Lisk, D., Cruice, F., & Pollard, T. (2013). How Perdue Farms Inc. implemented a video-based driver risk management program. ASSE Professional Development Conference and Exposition 2013.
Parker, D., Reason, J. T., Manstead, A. S. R., & Stradling, S. G. (1995). Driving errors, driving violations and accident involvement. Ergonomics, 38(5). https://doi.org/10.1080/00140139508925170
Shulman, H. C., Rhodes, N., Davidson, E., Ralston, R., Borghetti, L., & Morr, L. (2017). The state of the field of social norms research. International Journal of Communication, 11.
Siqueira, M. S. S., Nascimento, P. O., & Freire, A. P. (2022). Reporting Behaviour of People with Disabilities in relation to the Lack of Accessibility on Government Websites: Analysis in the light of the Theory of Planned Behaviour. Disability, CBR and Inclusive Development, 33(1). https://doi.org/10.47985/dcidj.475
Theophilus, S. C., Esenowo, V. N., Arewa, A. O., Ifelebuegu, A. O., Nnadi, E. O., & Mbanaso, F. U. (2017). Human factors analysis and classification system for the oil and gas industry (HFACS-OGI). Reliability Engineering and System Safety, 167. https://doi.org/10.1016/j.ress.2017.05.036
Wang, C., Zhang, H., Wang, H., & Fu, R. (2021). The effect of “yield to pedestrians” policy enforcement on pedestrian street crossing behavior: A 3-year case study in Xi’an, China. Travel Behaviour and Society, 24. https://doi.org/10.1016/j.tbs.2021.04.001
West, R., Elander, J., & French, D. (1993). Mild social deviance, Type‐A behaviour pattern and decision‐making style as predictors of self‐reported driving style and traffic accident risk. British Journal of Psychology, 84(2). https://doi.org/10.1111/j.2044-8295.1993.tb02474.x
Wiegmann, D. A., Zhang, H., Von Thaden, T. L., Sharma, G., & Gibbons, A. M. (2004). Safety culture: An integrative review. In International Journal of Aviation Psychology (Vol. 14, Number 2). https://doi.org/10.1207/s15327108ijap1402_1
Xin, X., Jia, N., & Ling, S. (2025). Social norms at crosswalks: Impact on pedestrian-yielding behavior and nudge intervention effectiveness. Transportation Research Part A: Policy and Practice, 192. https://doi.org/10.1016/j.tra.2024.104342
Yanko, M. R., & Spalek, T. M. (2014). Driving with the wandering mind: The effect that mind-wandering has on driving performance. Human Factors, 56(2). https://doi.org/10.1177/0018720813495280
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Pandu Buana Putra, Savitri Citra Budi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA). that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
