Keywords
Drivers
Vacations
How to Cite
Abstract
Introduction: The progressive increase in accident rates and fatalities resulting from traffic accidents in Honduras is sometimes due to a lack of consideration for safety precautions. The objective of this study is to identify safety measures employed by internal tourists who travel long distances, with a focus on the April 2022 holiday period, in order to provide useful information for improving security during travel. Method: A quantitative approach was utilized with a sample of 1,171 participants selected through convenience sampling. A data collection instrument in the form of a verification list consisting of 11 items was used, which was subjected to the EGA method to estimate the dimensionality of the scale. This method was chosen due to its capacity to estimate parameters of a linear regression model when the response is a categorical variable. Results: The exploratory graph (EGA) yielded two distinct estimations: a) Measures related to Vehicle Performance, and b) measures related to driver attitudes. Conclusion: The scale demonstrates the ability to measure the phenomenon of safety measure utilization among domestic tourists traveling long distances, as evidenced by the obtained results. This contrasts with the theory, even though the emphasis of the study mainly addresses aspects related to vehicles, rather than other measures that were in effect in 2021, such as those pertaining to biosecurity.
References
Arbon, P. (2011). First Aid and Harm Minimization for Victims of Road Trauma: A Population Study. Pre-hospital and disaster medicine, 26, 276-282.
Congreso Nacional de Honduras (2005). Ley de Tránsito. OIM Christensen AP, Golino H. (2021) On the equivalency of factor and
network loadings. Behav Res Methods.
Christensen, A. P., & Golino, H. (2021). Estimating the stability of the number of factors via Bootstrap Exploratory Graph Analysis: A tutorial. Psych, 3(3), 479-500.
Christensen, A. P., Golino, H., & Silvia, P. J. (2020). A psychometric network perspective on the validity and validation of personality trait questionnaires. European Journal of Personality, 34(6), 1095-1108
Brockett, P. L., & Golden, L. L. (2007). Biological and psychobehavioral correlates of credit scores and automobile insurance losses: Toward an explication of why credit scoring works. Journal of Risk and Insurance, 74(1), 23-63.
Daiy, C. (2007). Avoiding Tire-Related Vehicle Crashes. Fire Engineering.
DNVT (2022) La Dirección Nacional de Vialidad y Transporte reporta una disminución de muertes por accidentes de tránsito en lo que va del año. https://www.policianacional.gob.hn/noticias/20734
Efeovbokhan, Enontiemonria, V., Ohireme, N., & Ohiozua. (2013). Comparison of the Cooling Effects of a Locally Formulated Car Radiator Coolant with Water and a Comerial Coolant. The International Journal of Engineering and Science, 2, 254-262.
Elfasakhany, A. (2019). Tire Pressure Checking Framework: A Review Study. 12-28. Tire Pressure Checking Framework: A Review Study
Golino, H. F., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS ONE, 12.
Golino, H., Moulder, R. G., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Nesselroade, J., Sadana, R., Thiyagarajan,
A., & Boker, S. M. (2020). Entropy fit indices: New fit measures for assessing the structure and dimensionality of multiple latent variables. Multivariate Behavioral Research.
Glavas, H., Kljajin, M. & Desnika, E. (2021). Essential Preventive Automobile Maintenance during a Pandemic. Technical gazette, 28(6), 2190-2199.
Global Vehicle Leasing Program. (2008). Road Safety Training Drivers’ handbook
Gravelle, K. (2005). In The Driving Book: Everything New Drivers Need to Know but Don’t Know to Ask. Bloomsbury USA Childrens
Jakoby, B., Scherer, M., Buskies, M., & Eisenschmid, H. (2003). An automotive engine oil viscosity sensor. IEEE Sensors Journal, 3, 562-568.
Jarret, H. (1995). Daily Maintenance Procedures for Efficient Performance. Extension Agricultural Engineering.
Luan, S., Yang, Q., Jiang, Z., & Wang, W. (2021). Exploring the impact of COVID-19 on individual’s travel mode choice in China. Transport Policy, 106, 271-280.
Meibner, K. & Rieck, J. (2022). Strategic planning support for road safety measures based on accidents data mining. IATSS Research, 427-440.
Moreno, A. (2019). Impacto del uso del móvil en la seguridad vial.
Universidad de Sevilla.
Parkes, A., & Hooijmeijer, V. (2011) The Influence of the Use of Mobile Phones on Driver Situation Awareness. Transport Research Laboratory.
Road and Transport Authority. (2016). Light Motor Vehicle Handbook A Guide to Safe Driving. RTA
Samsara. (2021). What is a Gross Vehicle Weight Rating (GVWR)?
https://www.samsara.com/guides/gvwr/
Seiden, H., Cantarutti, P. & Thaller, S. (1985). A Customized First Aid Kit for Home and Vacation. Life syle Feature, 2316– 2318.
Seiffer, U., & Wech, L. (2007). Automotive Safety handbook. Automotive Safety Handbook, Second Edition (sae.org)
Tarn, S., Huang, R. & Wang, K. (2011). Can Vehicle Maintenance Records predict automobile accidents.
Thorn, R. (2018). Extended Oil Drain Intervals: Conservation of Resources or Reduction of Engine Life. https://www.jstor.org/stable/44615119
Yao, X., Wu, Y., Liu, H., Zhao, X., Bian, Y. & Qu, W. (2019).
Analysis of Psychological Influences on Navigation Use While Driving Based on Extended Theory of Planned Behavior. Transportation Record Research, 2673, 480-490.
Yacan Wang, Kexin Geng, Anthony D. May, Huiyu Zhou (2022) The impact of traffic demand management policy mix on commuter travel choices, Transport Policy, Volume 117, Pages 74-87
Zang, J., Feng, B., Wu, Y., Xu, P., Ke, R., & Dong, N. (2021,
March 8). The Effect of Human Mobility and Control Measures on Traffic Safety During COVID-19 Pandemic. Plos one, 16, 1-9.