Published

2022-07-18

Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers

Uso de Tecnologías Móviles para la Conducción, Accidentabilidad Vial, Salud y Variables Psicológicas en Conductores Colombianos

DOI:

https://doi.org/10.15446/rcp.v31n2.98876

Keywords:

health, mobile applications for driving, psychological variables, road accidents (en)
accidentabilidad vial, aplicaciones móviles para conducción, salud, variables psicológicas (es)

Downloads

Authors

The aim of this investigation is to show the relationships between the use of Mobile Driving Applications and Devices (mdad) with self-reported road accidents, anger, physical health, and subjective wellbeing, in three types of Colombian drivers. The sample is non-randomized (n = 1149) and 93.2% are male drivers. Results showed that (a) for professional drivers, there is an inverse correlation between the use of mdad with lower driving frequency during weekdays and a higher educational level, (b) for occasional drivers, gps use was directly associated with fatal road accidents and low driving frequency during weekdays, (c) for private drivers, correlations were found between mdad broader usage, higher levels of both aggression and perceived driving difficulty as well as physical health problems mainly hypertension and diabetes. It is necessary to conduct in-depth research on mdad uses, health, and driving styles, by controlling social desirability.

 

El objetivo de esta investigación es mostrar las relaciones entre el uso de Dispositivos y Aplicaciones Móviles para la Conducción (damc) con la accidentalidad vial auto reportada, la ira, la salud física y el bienestar subjetivo, en tres tipos de conductores colombianos. La muestra es no aleatoria (n = 1149) y el 93.2% son conductores varones. Los resultados muestran que (a) en conductores profesionales, hay una correlación inversa entre el uso de damc con una menor fre- cuencia de conducción entre semana y con un mayor nivel educativo, (b) en conductores ocasionales, mayor uso de gps asociado con accidentes fatales y con menor frecuencia de conducción entre semana, (c) en conductores particulares, mayor uso de damc relacionado con niveles más altos de agresividad y de dificultad percibida para conducir, y con más problemas de salud —principalmente hipertensión y diabetes. Es necesario realizar investigaciones en profundidad acerca de los usos de damc, salud y estilos de conducción, mediante el control de la deseabilidad social.

References

Astarita, V., Festa, D. C., & Giofré, V. (2018). Mobile systems applied to traffic management and safety: A state of the art. Procedia Computer Science, 134, 407–414. https://doi.org/10.1016/j.procs.2018.07.191

Astrain, I., Bernaus, J., Claverol, J., Escobar, A., & Godoy, P. (2003). Prevalencia del uso de teléfonos móviles durante la conducción de vehículos. Gaceta Sanitaria, 17(1), 55–59.

Barata, J., Ferro, R., & Ferreira, J. (2014). My traffic manager. Procedia Technology, 17, 209–216. https://doi.org/10.1016/j.protcy.2014.10.230

Bendak, S., Alali, A. K., Alali, N. M., & Alshehhi, M. M. (2017). Is the use of mobile phones while driving reaching alarming rates? A case study. Transportation Letters, 11(10), 535–541. https://doi.org/10.1080/19427867.2017.1409458

Bannach, E. L., & Bianchi, A. S. (2021). “I drive well, the problem is the other driver”: A study about the self-assessment of the ability to drive. Revista Colombiana de Psicología, 30(2), 87–97. https://doi.org/10.15446/rcp.v30n2.78948

Brardley, J., & Nesy, C. (2020). The effect of distracted driving laws on automobile liability insurance claims. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 330–344. https://doi.org/10.1080/10920277.2019.1683041

Cobo-Rendón, R., Pérez-Villalobos, M. V., Páez-Rovira, D., & Gracia-Leiva, M. (2020). A longitudinal study: Affective wellbeing, psychological wellbeing, self-efficacy, and academic performance among first-year undergraduate students. Scandinavian Journal of Psychology, 61, 518–526. https://doi.org/10.1111/sjop.12618

Colombian National Road Safety Observatory [Observatorio Nacional de Seguridad Vial] (2019). En Colombia, entre enero y diciembre de 2018 se registran de manera preliminar 6476 fallecidos. https://ansv.gov.co/sites/default/files/Documentos/Observatorio/Publicaciones/Boletines/Ano-2018/Ano-2018-Nacionales/12-Diciembre/boletin_mensual_nacional_diciembre.pdf

Demissie, M. G., de Almeida Correia, G. H., & Bento, C. (2013). Intelligent road traffic status detection system through cellular networks handover information: An exploratory study. Transportation Research Part C, 32, 76–88. https://doi.org/0.1016/j.trc.2013.03.010

Deffenbacher, J. L., Stephens, A. N., & Sullman, M. J. M. (2016). Driving anger as a psychological construct: Twenty years of research using the Driving Anger Scale. Transportation Research Part F: Traffic Psychology and Behaviour, 42, 236–247. https://doi.org/10.1016/j.trf.2015.10.021

Factor, R. (2018). Reducing traffic violations in minority localities: Designing a traffic enforcement program through a public participation process. Accident Analysis and Prevention, 121, 71–81. https://doi.org/10.1016/j.aap.2018.09.005

Feng, Z., & Boyle, P. (2014). Do long journeys to work have adverse effects on mental health? Environment and Behavior, 46(5), 609–625. https://doi.org/10.1177/0013916512472053

Ferreira, M., Moreira, F., Santos Pereira, C., & Durão, N. (2015, November 16–18). The role of mobile technologies in the teaching/learning process improvement in Portugal. The 8th International Conference of Education, Research and Innovation, Seville, Spain.

Gokasar, I., & Bakioglu, G. (2018). Modeling the effects of real time traffic information on travel behavior: A case study of Istanbul Technical University. Transportation Research Part F, 58, 881–892. https://doi.org/10.1016/j.trf.2018.07.013

Hennesy, D. A., & Wiesenthal, D. L. (2004). Age and vengeance as predictor of mild driver aggression. Violence Victims, 19(4), 469–477. https://doi.org/10.1891/vivi.19.4.469.64169

Herrero-Fernández, D. (2011). Adaptación psicométrica de la versión reducida del Driving Anger Scale en una muestra española. Diferencias por edad y sexo. Anales de Psicología, 27, 544–549. https://revistas.um.es/analesps/article/view/123191

Ilie, G., Mann, R. E., Ialomiteanu, A., Adlaf, E. M., Hamilton, H., Wickens, C. M., Asbridge, M., Rehm, J., & Cusimano, M. D. (2015). Traumatic brain injury, driver aggression and motor vehicle collisions in Canadian adults. Accident Analysis and Prevention, 81, 1–7. https://doi.org/10.1016/j.aap.2015.04.021

Jannusch, T., Shannon, D., Völler, M., Murphy, F., & Mullins, M. (2021). Smartphone use while driving: An investigation of Young Novice Driver (ynd) behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 77, 209–220. https://doi.org/10.1016/j.trf.2020.12.013

Jomnonkwao, S., Uttra, S., & Ratanavaraha, V. (2021). Analysis of a driving behavior measurement model using a modified driver behavior questionnaire encompassing texting, social media use, and drug and alcohol consumption. Transportation Research Interdisciplinary Perspectives, 9. https://doi.org/10.1016/j.trip.2021.100302

Kurzhanskiy, A. A., & Varaiya, P. (2015). Traffic management: An outlook. Economics of Transportation, 4, 135–146. https://doi.org/10.1016/j.ecotra.2015.03.002

Lazarus, L., Richard, R., Poulter, D. R., Powell, P. A., & Ypsilanti, A. (2019). Impulsive and self-regulatory processes in risky driving among young people: A dual process model. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01170

Leduc, G. (2008). Road traffic data: Collection methods and applications. European Commission-Joint Research Center-Institute for Prospective Technological Studies.

Lijarcio, I., Bosó, P., & Martí Belda, A. (2018). Reincidente y multireincidente en contexto vial. En busca de un consenso. In E. Arias, J. Sanmarco, & X. Camplá (Eds.). Libro de Actas xi Congreso Internacional de Psicología Jurídica y Forense (pp. 551–552). Sociedad Española de Psicología Jurídica y Forense.

Liu, J., Ettema, D., & Helbich, M. (2022). Systematic review of the association between commuting, subjective wellbeing and mental health. Travel Behaviour and Society, 28, 59–74. https://doi.org/10.1016/j.tbs.2022.02.006

Mccartt, A. T., Hellinga, L. A., & Bratiman, K. A. (2006). Cell phones and driving: Review of research. Traffic Injury Prevention, 7(2), 89–106. https://doi.org/10.1080/15389580600651103

Morris, E., A., & Guerra, E. (2015). Are we there yet? Trip duration and mood during travel. Transportation Research Part F: Traffic Psychology and Behaviour, 33, 38–47. https://doi.org/10.1016/j.trf.2015.06.003

Pérez, I., Navas-Sánchez, M. P., & Martínez, M. (2018). La ira al volante con explicaciones desde la desconexión moral. In E. Arias, J. Sanmarco, & X. Camplá (Eds.). Libro de Actas xi Congreso Internacional de Psicología Jurídica y Forense (pp. 228–229). Sociedad Española de Psicología Jurídica y Forense.

Precht, L., Keinath, A., & Krems (2017). Effects of driving anger on driver behavior – Results from naturalistic driving data. Transportation Research Part F: Traffic Psychology and Behaviour, 45, 75–92. https://doi.org/10.1016/j.trf.2016.10.019

Ruiz, J. I, & López, C., (2010). Perceived driving difficulties scale, hostility and extraversion: An correlational analysis with drivers from Bogotá. Diversitas, 6(2), 449–462

Ruiz-Pérez, J. I., Gómez, I. A., Lamus, D. A., Beltrán, I. T., & Leal S., L. J. (2014). Representaciones sociales de normas de tránsito, agresividad, facilidad percibida en la conducción, accidentes y multas en conductores de Bogotá, D. C. Revista Criminalidad, 56(2), 291–307.

Shaaban, K., Gaweesh, S., & Ahmed, M. M. (2020). Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling. plos one 15(7), e0235325. https://doi.org/10.1371/journal.pone.0235325

Seo, T., Bayen, A. M., Kusakabe, T., & Asakura, Y. (2017). Traffic state estimation on highway: A comprehensive survey. Annual Reviews in Control, 43, 128–151. https://doi.org/10.1016/j.arcontrol.2017.03.005

Serge-Rodríguez, A. C., Ruiz-Pérez, J. I., & Gómez-Díaz, I. A. (2018). Conductores profesionales y conductores particulares bogotanos: diagnóstico de condiciones sociodemográficas y bienestar general [análisis exploratorio]. Revista Iberoamericana de Psicología, 11(1), 45–54. https://doi.org/10.33881/2027-1786.rip.11107

Shi, K., Zhang, K., Feng, C., & Svirchev, L. (2018). Detrended cross-correlation analysis of urban traffic congestion and NO2 concentrations in Chengdu. Transportation Research Part D, 61(Part A), 165–173. https://doi.org/10.1016/j.trd.2016.12.012

Stoichkov, R. (2013). Android Smartphone application for driving style recognition. Institute for Media Technology. Taylor, A. H., & Dorn, L. (2006). Stress, fatigue, health and a risk of road traffic accidents among professional drivers: The contribution of physical inactivity. Annual Review of Public Health, 27, 371–391. https://doi.org/10.1146/annurev.publhealth.27.021405.102117

Tse, J., Flin, R., & Mearns, K. (2006). Bus driver well-being review: 50 years of research. Transportation Research Part F: Traffic Psychology and Behaviour, 9(2), 89–114. https://doi.org/10.1016/j.trf.2005.10.002

Useche, S. A., Cendales, B., Alonso, F., Montoro, L., & Pastor, J. C. (2019). Trait driving anger and driving styles among Colombian professional drivers. Heliyon, 5(8), e02259. https://doi.org/10.1016/j.heliyon.2019.e02259

Valana, R., Luele, T., Astarita, V., & Caruso, M. V. (2014). Driving behavior and traffic safety: An acceleration based safety evaluation procedure for smartphones. Modern Applied Science, 8(1), 88–96. https://doi.org/10.5539/mas.v8n1p88

Wells, H., Briggs, G., & Savigar-Shaw, L. (2021). The inconvenient truth about mobile phone distraction: Understanding the means, motive and opportunity for driver resistance to legal and safety messages. The British Journal of Criminology, 61(6), 1503–1520. https://doi.org/10.1093/bjc/azab038

Wickens, C. M., Toplak, M. E., & Wiesenthal, D. L. (2008). Cognitive failures as predictors of driving errors, lapses and violations. Accident Analysis and Prevention, 40(3), 1223–1233. https://doi.org/10.1016/j.aap.2008.01.006

World Health Organization (2011). Mobile phone use: A growing problem of driver distraction. World Health Organization.

Wong, J. T., & Huang, S. (2010). Modeling driver mental workload for accident causation and prevention. Journal of the Eastern Asia Society for Transportation Studies, 8, 1918–1933.

Yared, T. & Patterson, P (2020). The impact of navigation system display size and environmental illumination on young driver mental workload. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 330–344. https://doi.org/10.1016/j.trf.2020.08.

How to Cite

APA

Ruiz Pérez, J. I. and Serge Rodríguez, A. C. (2022). Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers. Revista Colombiana de Psicología, 31(2), 77–92. https://doi.org/10.15446/rcp.v31n2.98876

ACM

[1]
Ruiz Pérez, J.I. and Serge Rodríguez, A.C. 2022. Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers. Revista Colombiana de Psicología. 31, 2 (Jul. 2022), 77–92. DOI:https://doi.org/10.15446/rcp.v31n2.98876.

ACS

(1)
Ruiz Pérez, J. I.; Serge Rodríguez, A. C. Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers. Rev. colomb. psicol. 2022, 31, 77-92.

ABNT

RUIZ PÉREZ, J. I.; SERGE RODRÍGUEZ, A. C. Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers. Revista Colombiana de Psicología, [S. l.], v. 31, n. 2, p. 77–92, 2022. DOI: 10.15446/rcp.v31n2.98876. Disponível em: https://revistas.unal.edu.co/index.php/psicologia/article/view/98876. Acesso em: 7 oct. 2022.

Chicago

Ruiz Pérez, José Ignacio, and Andrea Cecilia Serge Rodríguez. 2022. “Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers”. Revista Colombiana De Psicología 31 (2):77-92. https://doi.org/10.15446/rcp.v31n2.98876.

Harvard

Ruiz Pérez, J. I. and Serge Rodríguez, A. C. (2022) “Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers”, Revista Colombiana de Psicología, 31(2), pp. 77–92. doi: 10.15446/rcp.v31n2.98876.

IEEE

[1]
J. I. Ruiz Pérez and A. C. Serge Rodríguez, “Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers”, Rev. colomb. psicol., vol. 31, no. 2, pp. 77–92, Jul. 2022.

MLA

Ruiz Pérez, J. I., and A. C. Serge Rodríguez. “Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers”. Revista Colombiana de Psicología, vol. 31, no. 2, July 2022, pp. 77-92, doi:10.15446/rcp.v31n2.98876.

Turabian

Ruiz Pérez, José Ignacio, and Andrea Cecilia Serge Rodríguez. “Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers”. Revista Colombiana de Psicología 31, no. 2 (July 18, 2022): 77–92. Accessed October 7, 2022. https://revistas.unal.edu.co/index.php/psicologia/article/view/98876.

Vancouver

1.
Ruiz Pérez JI, Serge Rodríguez AC. Use of mobile technologies for driving, road accidents, health and psychological variables in Colombian drivers. Rev. colomb. psicol. [Internet]. 2022Jul.18 [cited 2022Oct.7];31(2):77-92. Available from: https://revistas.unal.edu.co/index.php/psicologia/article/view/98876

Download Citation

CrossRef Cited-by

CrossRef citations0

Dimensions

PlumX

Downloads

Download data is not yet available.

Article abstract page views

133