Determinación de los factores de distracción y falta de atención de los conductores en la ciudad de Bogotá.

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dc.contributor.advisorArévalo Tamara, Andrea Stefannia
dc.contributor.authorCaicedo Castillo, Angela María
dc.contributor.corporatenameUniversidad Santo Tomásspa
dc.contributor.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001464697spa
dc.contributor.googlescholarhttps://scholar.google.com/citations?user=HKISQrUAAAAJ&hl=enspa
dc.contributor.orcidhttps://orcid.org/0000-0002-9684-5299spa
dc.coverage.campusCRAI-USTA Bogotáspa
dc.date.accessioned2022-01-18T14:31:14Z
dc.date.available2022-01-18T14:31:14Z
dc.date.issued2021-12-21
dc.descriptionLas distracciones al conducir vehículos pueden estar desempeñando un papel relevante en las causas de los accidentes de tráfico. A pesar de que hasta ahora, los conocimientos empíricos sobre cómo funciona en los países de ingresos bajos y medios (PIBM) es limitado, y para el caso de los conductores no profesionales colombianos permanecen prácticamente inexplorados en este sentido. El objetivo de esta investigación es evaluar el efecto de las distracciones al conducir, así como los problemas relacionados con la conducción y el comportamiento de los conductores de Bogotá, Colombia. Para este propósito, se recopiló una muestra, apoyados en la Metodología Aleatoria Simple (MAS), con un total de 659 conductores (64% hombres y 36% mujeres) en una edad media de 38 años, donde respondieron a una encuesta electrónica sobre distracciones al conducir, comportamientos y antecedentes de accidentes autoinformados. Se ha descubierto que la mayoría de las fuentes de distracción presentadas son bastante comunes entre la mayoría de los conductores, siendo muy pocos los aspectos diferenciales debido al género. Los modelos de ecuaciones estructurales muestran cómo existe un efecto significativo de las distracciones en la vía respecto a las tasas de accidentes autoinformadas por los conductores, arroja el modelo que los adultos jóvenes son más propensos a incurrir en estos comportamientos distractores. Estos hallazgos mejoran la formulación de medidas tendientes a mitigar el riesgo de distracción al conducir; del mismo modo, concluye en propuestas relacionadas con el cumplimiento de las normas relacionadas con el uso de dispositivos electrónicos mientras se conduce, contribuyendo así a reducir la prevalencia e impacto de fuentes de distracción al conducir. Palabras claves: Conductores, Distracciones en la vía; Comportamiento en la vía; Siniestros vialesspa
dc.description.abstractDistractions from driving vehicles may be playing a role in the causes of road accidents. Although so far, empirical knowledge on how it works in low- and middle-income countries (PIBM) is limited, and for Colombian non-professional drivers it remains virtually unexplored in this regard. The objective of this research is to evaluate the effect of distractions when driving, as well as the problems related to driving and the behavior of drivers in Bogotá, Colombia. For this purpose, a sample was collected, supported by the Simple Random Methodology (SRM), with a total of 659 drivers (64% men and 36% women) at an average age of 38 years, where they responded to an electronic survey on driving distractions, behaviour and history of self-informed accidents. It has been discovered that most of the sources of distraction presented are fairly common among most drivers, with very few aspects being differential due to gender. The models of structural equations show how there is a significant effect of distractions on the road with respect to auto-reported accident rates by drivers, model that young adults are more likely to engage in these distracting behaviors. These findings improve the formulation of measures to mitigate the risk of distraction while driving; likewise, concludes in proposals related to compliance with regulations related to the use of electronic devices while driving, thus contributing to reducing the prevalence and impact of distraction sources when driving. Keywords: Drivers; Road Distractions; Road Behavior; Crashes; LMICs.spa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Infraestructura Vialspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.citationCaicedo Castillo, A. M. (2021). Determinación de los factores de distracción y falta de atención de los conductores en la ciudad de Bogotá. [Trabajo de maestría, Universidad Santo Tomás]. Repositorio institucional.spa
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/38841
dc.language.isospaspa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.facultyFacultad de Ingeniería Civilspa
dc.publisher.programMaestría Infraestructura Vialspa
dc.relation.referencesAgencia Nacional de Seguridad Vial (ANSV,2019): https://ansv.gov.co/observatorio/publicaciones Arias Rojas (2020) Modelo de comportamiento de conductores y la generación de accidentes de tránsito. https://repositorio.unal.edu.co/handle/unal/80429spa
dc.relation.referencesBastos, J. T., dos Santos, Pedro Augusto B., Amancio, E. C., Gadda, T. M. C., Ramalho, J. A., King, M. J., & Oviedo-Trespalacios, O. (2021). Is organized carpooling safer? speeding and distracted driving behaviors from a naturalistic driving study in brazil. Accident Analysis & Prevention, 152, 105992. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.aap.2021.105992spa
dc.relation.referencesBener, A., Maadid, M., Özkan, T., Al-Bast, D., Diyab, K. y Lajunen, T. (2008). The impact of four-wheel drive in risky driver behaviours and road traffic accidents. Transportation Research, Part F, 11, 324-333.spa
dc.relation.referencesBrown, I. D. (1994). Driver fatigue. Human Factors, 36, 298–314. https://doi.org/10.1177/001872089403600210spa
dc.relation.referencesByrne, B. (2010). Structural equation modeling with AMOS. Basic concepts, applications and programming (2nd ed.). New York, NY: Routledge Taylor & Francis Group.spa
dc.relation.referencesCharlton, S. G., & Starkey, N. J. (2020). Co-driving: Passenger actions and distractions.Accident Analysis & Prevention, 144, 105624. https://doi.org/10.1016/j.aap.2020.105624spa
dc.relation.referencesGazdeer, U., & Assi, K. J. (2021). Determining driver perceptions about distractions and modeling their effects on driving behavior at different age groups. Journal of Traffic and Transportation Engineering (English Edition).https://doi.org/10.1016/j.jtte.2020.12.005spa
dc.relation.referencesGlobal status report on road safety 2018. Geneva: World Health Organization; 2018.spa
dc.relation.referencesHancock, P. A., Lesch, M., & Simmons, L. (2003). The distraction effects of phone use during a crucial driving maneuver. Accident Analysis & Prevention, 35(4), 501-514. https://doi.org/10.1016/S0001-4575(02)00028-3spa
dc.relation.referencesInstituto de Desarrollo Urbano IDU https://www.idu.gov.co/page/inventario-malla-vialspa
dc.relation.referencesKarthaus, M., Wascher, E., Falkenstein, M., & Getzmann, S. (2020). The ability of young, middle-aged and older drivers to inhibit visual and auditory distraction in a driving simulator task. Transportation Research Part F: Traffic Psychology and Behaviour, 68, 365 272-284. https://doi.org/10.1016/j.trf.2019.11.007spa
dc.relation.referencesLi, J., Dou, Y., Wu, J., Su, W., & Wu, C. (2021). Distracted driving caused by voice message apps: A series of experimental studies. Transportation Research Part F: Traffic Psychology and Behaviour, 76, 1-13. https://doi.org/10.1016/j.trf.2020.10.008spa
dc.relation.referencesIio, K., Guo, X., & Lord, D. (2021). Examining driver distraction in the context of driving speed: An observational study using disruptive technology and naturalistic data. Accident Analysis and Prevention, 153, 105983. doi:10.1016/j.aap.2021.105983spa
dc.relation.referencesLópez-Roldán, P., & Fachelli, S. (2015). Metodología de la investigación social cuantitativa. Bellaterra: Universitat Autònoma de Barcelona. Retrieved from http://ddd.uab.cat/record/129382spa
dc.relation.referencesJazayeri, A., Martinez, J. R. B., Loeb, H. S., & Yang, C. C. (2021). The impact of driver distraction and secondary tasks with and without other co-occurring driving behaviors on the level of road traffic crashes. Accident Analysis & Prevention, 153, 106010. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.aap.2021.106010spa
dc.relation.referencesLu, D., Guo, F., & Li, F. (2020). Evaluating the causal effects of cellphone distraction on crash risk using propensity score methods. Accident Analysis & Prevention, 143, 105579. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.aap.2020.105579spa
dc.relation.referencesMa, J., Gong, Z., Tan, J., Zhang, Q., & Zuo, Y. (2020). Assessing the driving distraction effect of vehicle HMI displays using data mining techniques. Transportation Research Part F: Traffic Psychology and Behaviour, 69, 235-250. https://doi.org/10.1016/j.trf.2020.01.016spa
dc.relation.referencesMirón-Juárez, C. A., García-Hernández, C., Ochoa-Ávila, E., & Díaz-Grijalva, G. R. (2020). Approaching to a structural model of impulsivity and driving anger as predictors of risk behaviors in young drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 72, 71-80. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.trf.2020.05.006spa
dc.relation.referencesNakano, Y., Okamura, K., Kosuge, R., Kihira, M., & Fujita, G. (2019). Effect of visible presence of policing activities on drivers’ vigilance and intention to refrain from non driving activities: A scenario-based survey of general japanese drivers. Accident Analysis & Prevention, 133, 105293. https://doi.org.crai/10.1016/j.aap.2019.10529spa
dc.relation.referencesNational Center for Statistics and Analysis. (2020). Distracted driving 2018 (Research Note. Report No. DOT HS 812 926). National Highway Traffic Safety Administration.spa
dc.relation.referencesNaumann, R. B., & Dellinger, A. M. (2013). Mobile Device Use While Driving — United States and Seven European Countries, 2011. International Journal of Transportation, 35-46.spa
dc.relation.referencesOviedo-Trespalacios, O., Haque, M. M., King, M., & Washington, S. (2017). Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers. Accident Analysis & Prevention, 101, 67-77. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.aap.2017.01.018spa
dc.relation.referencesOviedo-Trespalacios, O., Haque, M. M., King, M., & Washington, S. (2019). “Mate! i’m running 10 min late”: An investigation into the self-regulation of mobile phone tasks while driving. Accident Analysis & Prevention, 122, 134-142. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.aap.2018.09.020spa
dc.relation.referencesOviedo-Trespalacios, O., Williamson, A., & King, M. (2019). User preferences and design recommendations for voluntary smartphone applications to prevent distracted driving. Transportation Research Part F: Traffic Psychology and Behaviour, 64, 47-57. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.trf.2019.04.018spa
dc.relation.referencesPeña-Suárez, E., Padilla, J., Ventsislavova, P., Gugliotta, A., Roca, J., Lopez-Ramón, M., & Castro, C. (2016). Assessment of proneness to distraction: English adaptation and validation of the attention-related driving errors scale (ARDES) and cross-cultural equivalence. Transportation Research Part F: Traffic Psychology and Behaviour, 43, 357-365. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.trf.2016.09.004spa
dc.relation.referencesPope, C. N., Bell, T. R., & Stavrinos, D. (2017). Mechanisms behind distracted driving behavior: The role of age and executive function in the engagement of distracted driving.Accident Analysis & Prevention, 98, 123–129. https://doi.org/10.1016/j.aap.2016.09.030spa
dc.relation.referencesPrat, F., Gras, M. E., Planes, M., Font-Mayolas, S., & Sullman, M. J. M. (2017). Driving distractions: An insight gained from roadside interviews on their prevalence and factors associated with driver distraction. Transportation Research Part F: Traffic Psychology and Behaviour, 45, 194-207. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.trf.2016.12.001spa
dc.relation.referencesReason, J., Manstead, A., Stardling, S., Parker, D. y Baxter, J.(1991). The social and cognitive determinants of aberrant behavior. Contract Report, 253.spa
dc.relation.referencesSecretaría Distrital de Movilidad (SDM).2015.: https://www.movilidadbogota.gov.co/web/SIMUR/SIGAT/spa
dc.relation.referencesShams, Z., Naderi, H., & Nassiri, H. (2020). Assessing the effect of inattention-related error and anger in driving on road accidents among iranian heavy vehicle drivers. IATSS Research, doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.iatssr.2020.09.005spa
dc.relation.referencesShope, J. T. (2006). Influences on youthful driving behavior and their potential for guiding interventions to reduce crashes. Injury Prevention, 12(Suppl 1), i9–i14. https://doi.org/10.1136/ip.2006.011874spa
dc.relation.referencesSoares, S., Ferreira, S., & Couto, A. (2020). Drowsiness and distraction while driving: A study based on smartphone app data. Journal of Safety Research, 72, 279-285. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.jsr.2019.12.024spa
dc.relation.referencesSterkenburg, J., & Jeon, M. (2020). Impacts of anger on driving performance: A comparison to texting and conversation while driving. International Journal of Industrial Ergonomics, 80, 102999. doi:https://doi-org.crai-ustadigital.usantotomas.edu.co/10.1016/j.ergon.2020.102999spa
dc.relation.referencesStavrinos, D., Pope, C. N., Shen, J., & Schwebel, D. C. (2018). Distracted Walking, Bicycling, and Driving: Systematic Review and Meta-Analysis of Mobile Technology and Youth Crash Risk. Child development, 89(1), 118–128. https://doi.org/10.1111/cdev.12827spa
dc.relation.referencesSullman, M., Meadows, M. y Pajo, K. (2002). Aberrant driving behaviours amongst New Zealand truck drivers. Transportation Research, Part F, 5, 217-232.spa
dc.relation.referencesUseche, S.A., Cendales, B., Alonso, F., & Llamazares, F. (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.S305687spa
dc.relation.referencesUseche, Análisis de errores y violaciones de tránsito en los conductores de Bogotá a través del DBQ (Driving Behaviour Questionnaire). Revista de Psicología Jurídica Nº1,2011.spa
dc.relation.referencesWashington, S., Karlaftis, M., Mannering, F., & Anastasopoulos, P. (2020). Statistical and Econometric Methods for Transportation Data Analysis. New York: Taylor & Francis Group.spa
dc.relation.referencesXiao, Y., & Shi, J. (2016). Study on the influence of driving distraction on traffic flow considering the stochastic duration time of distraction. Modern Physics Letters B, 30(32), 1. doi:10.1142/S0217984916503802spa
dc.relation.referencesAl-Rousan T.M.,Umar A.A, A scoping study on driver’s perspective of distracting factors.https://doi-org-cari-ustadigital.santotomas.edu.co/10.1007/s12239-021-0011-9spa
dc.relation.referencesLópez-Roldán, P., & Fachelli, S. (2015). Metodología de la investigación social cuantitativa. Bellaterra: Universitat Autònoma de Barcelona. Retrieved from http://ddd.uab.cat/record/129382digital: http://ddd.uab.cat/record/129382.spa
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.subject.keywordDriversspa
dc.subject.keywordRoad Distractionsspa
dc.subject.keywordRoad Behaviorspa
dc.subject.keywordCrashesspa
dc.subject.keywordLMICsspa
dc.subject.lembRiesgo (Seguros)spa
dc.subject.lembPrevención de accidentesspa
dc.subject.lembAccidentes de transportespa
dc.subject.proposalConductoresspa
dc.subject.proposalDistracciones en la víaspa
dc.subject.proposalComportamiento en la víaspa
dc.subject.proposalSiniestros vialesspa
dc.titleDeterminación de los factores de distracción y falta de atención de los conductores en la ciudad de Bogotá.spa
dc.typemaster thesis
dc.type.categoryFormación de Recurso Humano para la Ctel: Trabajo de grado de Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.driveinfo:eu-repo/semantics/masterThesis
dc.type.localTesis de maestríaspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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