Understanding Military Driving Behaviour: A Scientometric and Scoping Review of Global Research Trends and Gaps

Authors

  • Elias Md Radzi School of Business Management, UUM College of Business, Universiti Utara Malaysia, Malaysia
  • Mohd Azril Ismail School of Technology Management and Logistics, UUM College of Business, Universiti Utara Malaysia, Malaysia
  • Abdul Khabir Rahmat Department of Research, Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA, Malaysia

DOI:

https://doi.org/10.32890/jtom2026.21.1.5

Keywords:

Military driving behaviour, scientometric analysis, psychological interventions, fatigue management, Sustainable Development Goal 8 (SDG 8)

Abstract

This study undertakes a comprehensive scientometric and scoping review of the global research landscape pertaining to driving behaviour within military contexts. The objective is to delineate research trajectories, theoretical underpinnings, and interventional strategies that directly impact driver safety and performance. Data were extracted from the Scopus and Web of Science databases, resulting in a corpus of 170 publications. These were analysed using ScientoPy and VOSviewer to assess publication trends, keyword co-occurrence patterns, and institutional contributions. A supplementary scoping review, informed by the SPIDER framework, synthesised evidence from intervention-focused studies. The scientometric analysis reveals a consistent increase in research output since 2005, with a notable acceleration post-2015, particularly in areas concerning driver performance, fatigue, driving outcomes among veterans, and safety interventions. However, the field exhibits conceptual limitations; only game theory and molecular dynamics theory were explicitly identified as foundational frameworks. This indicates a conspicuous absence of psychological, behavioural, and human factors theories to elucidate driver decision-making and performance under operational stress. The scoping review identified three primary intervention categories: digital educational, behavioural, and psychological. These interventions demonstrated quantifiable improvements in safety-related outcomes, including reductions in fatigue, sleepiness, road hostility, and crash risk. Notwithstanding these encouraging findings, the literature is marked by methodological heterogeneity, a paucity of longitudinal evaluations, and limited theoretical integration, thereby restricting the generalisability and long-term efficacy of the interventions. By explicitly connecting driver behaviour to occupational safety, human performance, and workforce sustainability, this study contributes to Sustainable Development Goal 8 (Decent Work and Economic Growth). It demonstrates how evidence-based military driving interventions can mitigate non-battle injuries, conserve skilled human capital, enhance operational productivity, and foster enduring organisational resilience within defence institutions.

References

Abdullah, K. H. (2021). Publication trends of leadership excellence: a bibliometric review using VOS viewer. Advances in Business Research International Journal, 7(1), 170-180.

Abdullah, K. H. (2022). Publication trends in biology education: a bibliometric review of 63 years. Journal of Turkish Science Education, 19(2), 465-480.

Abdullah, K. H., & Othman, S. Z. (2022). A bibliometric mapping of five decades research in telecommuting. International Journal of Information Science and Management, 20(2), 229-245.

Abdullah, K. H., Hashim, M. N., & Abd Aziz, F. S. (2020). A 39 years (1980-2019) bibliometric analysis of safety leadership research. TEST Engineering and Management, 83, 4526-4542.

Arksey, H., & O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32.

Cilovic-Lagarija, S., Skočibušić, S., Musa, S., & Jogunčić, A. (2022). Burden of road traffic injuries in Federation of Bosnia and Herzegovina – fifteen-year survey. European Journal of Public Health, 32(Supplement_3). https://doi.org/10.1093/eurpub/ckac131.578

Classen, S., Monahan, M., Auten, B., & Yarney, A. (2014). Evidence-based review of interventions for medically at-risk older drivers. American Journal of Occupational Therapy, 68(4), 107–114. https://doi.org/10.5014/AJOT.2014.010975

Cooke, A., Smith, D., & Booth, A. (2012). Beyond PICO: the SPIDER tool for qualitative evidence synthesis. Qualitative Health Research, 22(10), 1435-1443.

De Roma, P., Jameson, J. T., Kubala, A. G., Markwald, R. R., & Russell, D. W. (2022). 0004 Sleep, Team and Social Processes, and Health, Performance, and Safety in Naval Operational Environments. Sleep, 45(Supplement_1), A2. https://doi.org/10.1093/sleep/zsac079.003

de Voogd, L. D., Hagenberg, E., Zhou, Y. J., de Lange, F. P., & Roelofs, K. (2022). Acute threat enhances perceptual sensitivity without affecting the decision criterion. Dental Science Reports, 12(1). https://doi.org/10.1038/s41598-022-11664-0

Donahue, K., Hauser, O. P., Nowak, M. A., & Hilbe, C. (2020). Evolving cooperation in multichannel games. Nature Communications, 11(1), 3885. https://doi.org/10.1038/S41467-020-17730-3

Elliott, M. A., McCartan, R., Brewster, S. E., Coyle, D., Emerson, L., & Gibson, K. (2017). An application of the prototype willingness model to drivers’ speeding behaviour. European Journal of Social Psychology, 47(6), 735–747. https://doi.org/10.1002/EJSP.2268

Gu, D., Ou, S., & Liu, G. (2025). Global burden of road injuries and their attributable risk factors from 1990 to 2021: A systematic analysis for the global burden of disease study 2021. Preventive Medicine Reports, 53. https://doi.org/10.1016/j.pmedr.2025.103051.

Hannold, E. M. “Lisa,” Classen, S., Winter, S. M., Lanford, D. N., & Levy, C. E. (2013). Exploratory pilot study of driving perceptions among OIF/OEF Veterans with mTBI and PTSD. Journal of Rehabilitation Research and Development, 50(10), 1315–1330. https://doi.org/10.1682/JRRD.2013.04.0084

He, Y., Yang, S., Zhou, X., & Lu, X. (2022). An Individual Driving Behavior Portrait Approach for Professional Driver of HDVs with Naturalistic Driving Data. Computational Intelligence and Neuroscience, 2022, 1–14. https://doi.org/10.1155/2022/3970571

Hornischer, H., Pritz, P. J., Pritz, J., Mazza, M. G., & Boos, M. (2022). Modeling of human group coordination. Physical Review Research, 4(2). https://doi.org/10.1103/physrevresearch.4.023037 https://doi.org/10.32890/ssmj2024.1.2.1

Ismail, M. A., Radzi, E. M., Othman, A. A., Hassan, M. G., & Mustafa, M. (2024). Enhancing Safety Performance in Seaport: A Scientometric and Scoping Analysis of Performance Evaluation. Int. J. Res. Publ, 5, 4792-4807.

Jomnonkwao, S., Uttra, S., Khampirat, B., & Ratanavaraha, V. (2022). Applying multilevel analysis and the Driver Behavior Questionnaire (DBQ) on unsafe actions under a road safety policy. PLOS ONE, 17(11), e0277750. https://doi.org/10.1371/journal.pone.0277750

Kauvar, D. S., & Gurney, J. M. (2020). Exploring Nonbattle Injury in the Deployed Military Environment Using the Department of Defense Trauma Registry. Military Medicine, 185. https://doi.org/10.1093/MILMED/USZ481

Kesisiklis, I. (2011). Major Cost Drivers of Motor Vehicle Crashes Involving Air Force Military Personnel and the Influence of the Military Environment. https://scholar.afit.edu/cgi/viewcontent.cgi?article=2536&context=etd

Kraus, S. (2015). Human-Agent Decision-making: Combining Theory and Practice. Theoretical Aspects of Rationality and Knowledge, 13–27. https://arxiv.org/pdf/1606.07514

Krull, A. R., Jones, B. H., Dellinger, A. M., Yore, M. M., & Amoroso, P. J. (2004). Motor Vehicle Fatalities among Men in the U.S. Army from 1980 to 1997. Military Medicine, 169(11), 926–931. https://doi.org/10.7205/MILMED.169.11.926

Kugler, T., Kausel, E. E., Kocher, M. G., & Kocher, M. G. (2012). Are groups more rational than individuals? A review of interactive decision making in groups. Wiley Interdisciplinary Reviews: Cognitive Science, 3(4), 471–482. https://doi.org/10.1002/WCS.1184

Kühn, S., Butler, O., Willmund, G., Wesemann, U., Zimmermann, P., & Gallinat, J. (2021). The brain at war: effects of stress on brain structure in soldiers deployed to a war zone. Translational Psychiatry, 11(1), 247. https://doi.org/10.1038/S41398-021-01356-0 Łatek, M., & Rizi, S. M. M. (2011). Robust decision making under strategic uncertainty in multiagent environments. National Conference on Artificial Intelligence, 34–41. https://www.aaai.org/ocs/index.php/WS/AAAIW11/paper/download/3963/4200

Leidman, E., Maliniak, M. L., Sultan, A.-S. S., Hassan, A., Hussain, S. J., & Bilukha, O. O. (2016). Road traffic fatalities in selected governorates of Iraq from 2010 to 2013: prospective surveillance. Conflict and Health, 10(1), 2. https://doi.org/10.1186/S13031-016-0070-0

Li, M., Wang, W., Liu, Z., Qiu, M., & Qu, D. (2022). Driver Behavior and Intention Recognition Based on Wavelet Denoising and Bayesian Theory. Sustainability, 14(11), 6901. https://doi.org/10.3390/su14116901

Malygin, I., & Tarantsev, A. A. (2022). On ensuring the safe movement of emergency service vehicles under hazardous driving conditions. Пожаровзрывобезопасность, 30(6), 97–107. https://doi.org/10.22227/0869-7493.2021.30.06.97-107

Mantua, J., Bessey, A. F., Mickelson, C., Choynowski, J., Noble, J. J., Burke, T. M., McKeon, A. B., Sowden, W., & Sowden, W. (2021). Sleep and high-risk behavior in military service members: a mega-analysis of four diverse U.S. Army units. Sleep, 44(4). https://doi.org/10.1093/SLEEP/ZSAA221

Matson, L. M., Adler, A. B., Quartana, P. J., Thomas, C. L., & Lowery-Gionta, E. G. (2022). Management of Acute Stress Reactions in the Military: A Stepped Care Approach. Current Psychiatry Reports, 24(12), 799–808. https://doi.org/10.1007/s11920-022-01388-3

McDonald, C. C., Sommers, M. S., & Fargo, J. D. (2014). Risky driving, mental health, and health-compromising behaviours: risk clustering in late adolescents and adults. Injury Prevention, 20(6), 365–372. https://doi.org/10.1136/INJURYPREV-2014-041150

Munn, Z., Peters, M. D., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18(1), 1-7.

Nassiri, H., & Mohammadpour, S. I. (2023). Investigating speed-safety association: Considering the unobserved heterogeneity and human factors mediation effects. PLOS ONE, 18(2), e0281951. https://doi.org/10.1371/journal.pone.0281951

Palamarchuk, I., & Vaillancourt, T. (2021). Mental Resilience and Coping With Stress: A Comprehensive, Multi-level Model of Cognitive Processing, Decision Making, and Behavior. Frontiers in Behavioral Neuroscience, 15, 719674. https://doi.org/10.3389/FNBEH.2021.719674

Paschalidis, E., Choudhury, C. F., & Hess, S. (2018). Modelling the effects of stress on gap-acceptance decisions combining data from driving simulator and physiological sensors. Transportation Research Part F-Traffic Psychology and Behaviour, 59, 418–435. https://doi.org/10.1016/J.TRF.2018.09.019

Pulantara, I. W., Parmanto, B., & Germain, A. (2018). Clinical Feasibility of a Just-in-Time Adaptive Intervention App (iREST) as a Behavioral Sleep Treatment in a Military Population: Feasibility Comparative Effectiveness Study. Journal of Medical Internet Research, 20(12). https://doi.org/10.2196/10124

Radzi, E. M., Abd Aziz, F. S., & Abdullah, K. H. (2024). The interrelation between happiness and workplace safety: A bibliometric review. Multidisciplinary Reviews, 7(7), 2024145-2024145. https://doi.org/10.31893/multirev.2024145

Radzi, E.M., (2024). Examining the impact of social security programs on military personnel and veterans: A scientometric and scoping review. Social Security Management Journal, 1(2), 1-18.

Radzi, E. M., Z., Hassan, Z., Abdullah, K. H., Ismail, M. A., Noor Arzahan, I. S., & Ishak, A. (2025a). Trends and developments in military safety performance: A combined scientometric and scoping study. Social Security Management Journal, 2(1), 1-23. https://doi.org/10.32890/ssmj2025.2.1.2

Radzi, E. M., Hassan, Z., Ismail, M. A., Abdullah, K. H., Arzahan, I. S. N., Ishak, A.,... & Ghalib, M. H. (2025b). Enhancing armored crew safety: a scientometric and scoping review of key trends, challenges, and innovations. Vojnotehnički glasnik, 73(2), 669-697.https://doi.org/10.5937/vojtehg73-54715

Radzi, E. M., Hassan, Z., Ismail, M. A., Abdul Wahab, M. S., Armawai, M.A., Razak, W.Z.W.A (2025c). Understanding sensationseeking in driving and its impact on road safety: An integrated scientometric and scoping review. Social Security Management Journal, 2 (2), 11-33. https://doi.org/10.32890/ssmj2025.2.2.2

Reimer, B., Fried, R., Mehler, B., Joshi, G., Bolfek, A., Godfrey, K. M., Zhao, N., Goldin, R. L., & Biederman, J. (2013). Brief report: examining driving behavior in young adults with high functioning autism spectrum disorders: a pilot study using a driving simulation paradigm. Journal of Autism and Developmental Disorders, 43(9), 2211–2217. https://doi.org/10.1007/S10803-013-1764-4

Ruiz-Rosero, J., Ramirez-Gonzalez, G., Williams, J. M., Liu, H., Khanna, R., & Pisharody, G. (2017). Internet of things: A scientometric review. Symmetry, 9(12), 1-32.

Schram, B., Orr, R. M., Rigby, T., & Pope, R. (2018). An Analysis of Reported Dangerous Incidents, Exposures, and Near Misses amongst Army Soldiers. International Journal of Environmental Research and Public Health, 15(8), 1605. https://doi.org/10.3390/IJERPH15081605

Schulte, P. A., Iavicoli, I., Fontana, L., Leka, S., Dollard, M. F., Salmen-Navarro, A., Junqueira Salles, F., Kaneshiro Olympio, K. P., Lucchini, R., Fingerhut, M. A., Violante, F. S., Seneviratne, M., Oakman, J., Lo, O., Alfredo, C. H., Bandini, M., Silva-Junior, J. S., Martinez, M. C., Cotrim, T., … Fischer, G. (2022). Occupational Safety and Health Staging Framework for Decent Work. International Journal of Environmental Research and Public Health, 19(17), 10842. https://doi.org/10.3390/ijerph191710842

Sekel, N. M., Beckner, M. E., Conkright, W. R., LaGoy, A. D., Proessl, F., Lovalekar, M., Martin, B. J., Jabloner, L. R., Beck, A. L., Eagle, S. R., Dretsch, M. N., Roma, P. G., Ferrarelli, F., Germain, A., Flanagan, S. D., Connaboy, C., Haufler, A. J., & Nindl, B. C. (2023). Military tactical adaptive decision making during simulated military operational stress is influenced by personality, resilience, aerobic fitness, and neurocognitive function. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1102425

Simao, L. B., Carvalho, L. C., & Madeira, M. J. (2021). Intellectual structure of management innovation: bibliometric analysis. Management Review Quarterly, 71(3), 651-677.

Stahlschmidt, S., & Stephen, D. (2022). From indexation policies through citation networks to normalised citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers. Scientometrics, 127(5), 2413-2431.

Stephens, A. N., Trawley, S., Ispanovic, J., & Lowrie, S. (2022). Self-reported changes in aggressive driving within the past five years, and during COVID-19. PLOS ONE, 17(8), e0272422. https://doi.org/10.1371/journal.pone.0272422

Struck, S., Stewart-Tufescu, A., Asmundson, A. J., Asmundson, G. G., & Afifi, T. O. (2021). Adverse childhood experiences (ACEs) research: a bibliometric analysis of publication trends over the first 20 years. Child Abuse & Neglect, 112, 104895

Syed Sheriff, R., Forbes, H., Wessely, S., Greenberg, N., Jones, N., Fertout, M., Harrison, K., & Fear, N. T. (2015). Risky driving among UK regular armed forces personnel: changes over time. BMJ Open, 5(9), 1–9. https://doi.org/10.1136/BMJOPEN-2015-008434

Tan, S., & Solah, M. S. (2022). Head Injuries In Rollover of Military Armoured Vehicle. Rsf Conference Proceeding Series. Engineering and Technology, 2(2), 183–189. https://doi.org/10.31098/cset.v2i2.571

Tavakoli, A., Kumar, S., Guo, X., Balali, V., Boukhechba, M., & Heydarian, A. (2021). HARMONY: A Human-Centered Multimodal Driving Study in the Wild. IEEE Access, 9, 23956–23978. https://doi.org/10.1109/ACCESS.2021.3056007

Taylor, A. H., & Dorn, L. (2006). Stress, Fatigue, Health, And Risk Of Road Traffic Accidents Among Professional Drivers: The Contribution of Physical Inactivity. Annual Review of Public Health, 27(1), 371–391. https://doi.org/10.1146/ANNUREV.PUBLHEALTH.27.021405.102117

Topolšek, D., Babić, D., & Fiolić, M. (2019). The Effect of Road Safety Education on the Relationship Between Driver’s Errors, Violations and Accidents: Slovenian Case Study. European Transport Research Review, 11(1), 1–8. https://doi.org/10.1186/S12544-019-0351-Y

Useche, S. A., Alonso, F., Cendales, B., & Llamazares, J. (2021). More Than Just “Stressful”? Testing the Mediating Role of Fatigue on the Relationship Between Job Stress and Occupational Crashes of Long-Haul Truck Drivers. Psychology Research and Behavior Management, 14, 1211–1221. https://doi.org/10.2147/PRBM.S305687

Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.

van Gent, P., Farah, H., van Nes, N., & van Arem, B. (2019). A Conceptual Model for Persuasive In-Vehicle Technology to Influence Tactical Level Driver Behaviour. Transportation Research Part F-Traffic Psychology and Behaviour, 60, 202–216. https://doi.org/10.1016/J.TRF.2018.10.004

Van Voorhees, E. E., Moore, D. A., Kimbrel, N. A., Dedert, E. A., Dillon, K. H., Elbogen, E. B., & Calhoun, P. S. (2018). Association of posttraumatic stress disorder and traumatic brain injury with aggressive driving in Iraq and Afghanistan combat veterans. Rehabilitation Psychology, 63(1), 160–166. https://doi.org/10.1037/REP0000178

Vieira, E., & Gomes, J. (2009). A comparison of Scopus and Web of Science for a typical university. Scientometrics, 81(2), 587-600.

Wachsmann, M. S., Onwuegbuzie, A. J., Hoisington, S., Gonzales, V., Wilcox, R., Valle, R., & Aleisa, M. (2019). Collaboration patterns as a function of research experience among mixed researchers: A mixed methods bibliometric study. The Qualitative Report, 24(12), 2954-2979.

Wang, W., Gan, H., Wang, X., Lu, H., & Huang, Y. (2022). Initiatives and challenges in using gamification in transportation: a systematic mapping. European Transport Research Review, 14(1). https://doi.org/10.1186/s12544-022-00567-w

Watling, C. N. (2020). Young drivers who continue to drive while sleepy: What are the associated sleep- and driving-related factors? Journal of Sleep Research, 29(3). https://doi.org/10.1111/JSR.12900

Whipple, E. K., Schultheis, M. T., & Robinson, K. M. (2016). Preliminary findings of a novel measure of driving behaviors in Veterans with comorbid TBI and PTSD. Journal of Rehabilitation Research and Development, 53(6), 827–838. https://doi.org/10.1682/JRRD.2015.09.0172

Wilson, D. K. (2015). Behavior Matters: The Relevance, Impact, and Reach of Behavioral Medicine. Annals of Behavioral Medicine, 49(1), 40–48. https://doi.org/10.1007/S12160-014-9672-1

Wu, F., Zhang, Z., & Han, Z. (2023). How Do Cognitive Interventions Impact Driver Aggressiveness in China?—A Driving Simulator Study. Journal of Advanced Transportation, 2023, 1–10. https://doi.org/10.1155/2023/7300548

Xu, Y., Chen, M., Yang, R., Wumaierjiang, M., & Huang, S. (2022). Global, Regional, and National Burden of Road Injuries from 1990 to 2019. International Journal of Environmental Research and Public Health, 19(24), 16479. https://doi.org/10.3390/ijerph192416479

Zelikov, V., Klimova, G., Artemov, A., & Zelikova, N. (2021). Improving the level of psychological preparation of potential drivers. 341, 00019. https://doi.org/10.1051/MATECCONF/202134100019

Zinzow, H. M., Brooks, J. O., & Stern, E. B. (2013). Driving-Related Anxiety in Recently Deployed Service Members: Cues, Mental Health Correlates, and Help-Seeking Behavior. Military Medicine, 178(3). https://doi.org/10.7205/MILMED-D-12-00303

Downloads

Published

31-01-2026

How to Cite

Md Radzi, E., Ismail, M. A., & Rahmat, A. K. (2026). Understanding Military Driving Behaviour: A Scientometric and Scoping Review of Global Research Trends and Gaps. Journal of Technology and Operations Management, 21(1), 55-75. https://doi.org/10.32890/jtom2026.21.1.5