Estudio de la accidentalidad vial en Bogotá usando ciencia de redes

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dc.contributor.advisorBaena Vasquez, Alejandra Juliettespa
dc.contributor.advisorMartínez Huartos, Johann Heinzspa
dc.contributor.authorSalcedo Fontecha, Juan Paulospa
dc.creator.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001454301spa
dc.date.accessioned2021-03-08T19:41:46Z
dc.date.available2021-03-08T19:41:46Z
dc.date.issued2020-06-11spa
dc.description.abstractMobility and road safety studies are essential in the mitigation of the effects generated by traffic accidents worldwide. Therefore, given the complexity in these aspects of the Bogotá city, a study of road accidents is carried out using Network Science in 7 years range and at a spatial resolution by Traffic Analysis Zones (TAZ) that divide to the city into 922 polygons according to the latest mobility survey 2019. The results show some peculiarities in its dynamics, identify the areas that have synchronous behaviors, anomalous road corridors with low vehicle flow and high accident rates and quantify the spacetime entropy of traffic accidents.eng
dc.description.abstractLos estudios de movilidad y seguridad vial, son fundamentales en la mitigación de los efectos generados por los accidentes de tránsito a nivel mundial. Por lo tanto, dada la complejidad en estos aspectos de la ciudad de Bogotá, se realiza un estudio de la accidentalidad vial utilizando Ciencia de Redes en una ventana temporal de 7 años y a una resolución espacial por Zonas de Análisis de Transporte (ZAT) que dividen a la ciudad en 922 polígonos de acuerdo a la última encuesta de movilidad 2019. Los resultados permiten evidenciar algunas particularidades en su dinámica, identificar las zonas que tienen comportamientos sincrónicos, corredores viales anómalos con bajo flujo vehicular y alta accidentalidad y cuantificar la entropía espacio-temporal de los accidentes de tránsitospa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ingeniería Físicaspa
dc.description.notesPresencialspa
dc.identifier.bibliographicCitationAbdulhafedh, A. (2016). Crash frequency analysis. Journal of Transportation Technologies, 06(04):169-180.spa
dc.identifier.bibliographicCitationAbdulhafedh, A. (2017). Road crash prediction models: different statistical modeling approaches. Journal of Transportation Technologies, 07(02):190-205.spa
dc.identifier.bibliographicCitationAgencia Nacional de Seguridad Vial (2020). Observatorio de la seguridad vial. https://ansv.gov.co/observatorio/index.html. [Online; último acceso 9-abril-2020].spa
dc.identifier.bibliographicCitationAmézquita, L., Durán, D., and Fajardo, D. (2016). Matriz origen-destino y efi ciencia en modos de transporte urbano: Un análisis de la movilidad de Bogotá. Semestre Económico, 19(39):91-112.spa
dc.identifier.bibliographicCitationBarbosa, H., Barthelemy, M., Ghoshal, G., R.J., C., Lenormand, M., Louail, T., Menezes, R., Ramasco, J., and Simini, F., T. M. (2018). Human mobility: Models and applications. Physics Reports, 734:1-74.spa
dc.identifier.bibliographicCitationBuchanan, M. (2008). Laws, power laws and statistics. Nature Physics, 40:339.spa
dc.identifier.bibliographicCitationClauset, A., Shalizi, C. R., and Newman, M. E. J. (2009). Power-law distributions in empirical data. SIAM review, 51(4):661{703.spa
dc.identifier.bibliographicCitationCongreso de la República de Colombia (2016). Ley 1503 de 2011. http://www.secretariasenado.gov.co/senado/basedoc/ley_1503_2011.html. [Online; accessed 9-abril-2020].spa
dc.identifier.bibliographicCitationDriss, M., Benabdeli, K., Saint-Gerand, T., and Hamadouche, M. (2015). Traffic safety prediction model for identifying spatial degrees of exposure to the risk of road accidents based on fuzzy logic approach. Geocarto International, 30(3).spa
dc.identifier.bibliographicCitationEl-adaway, I. (2012). Analyzing traffic layout using dynamic social network analysis. http://www.ncitec.msstate.edu/wp-content/uploads/2012-07FR.pdf. [Online; último acceso 5-mayo-2020].spa
dc.identifier.bibliographicCitationEstrada, E. (2016). The structure of complex networks: Theory and applications. Oxford University Press.spa
dc.identifier.bibliographicCitationEstrada, E. and Knight, P. (2015). A first course in network theory. Oxford University Press.spa
dc.identifier.bibliographicCitationGirvan, M. and Newman, M. E. J. (2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99(12):7821-7826.spa
dc.identifier.bibliographicCitationHeinrich, H. W. (1969). Industrial accident prevention: a scientific approach. McGraw-Hill.spa
dc.identifier.bibliographicCitationKlockner, K. and Toft, Y. (2015). Accident modelling of railway safety occurrences: The safety and failure event network (safe-net) method. Procedia Manufacturing, 3:1734-1741.spa
dc.identifier.bibliographicCitationLin, L., Wang, Q., and Sadek, A. W. (2014). Data mining and complex network algorithms for traffic accident analysis. Transportation Research Record: Journal of the Transportation Research Board, 2460(1):128-136.spa
dc.identifier.bibliographicCitationLord, D. (2006). Modeling motor vehicle crashes using poisson-gamma models: Examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter. Accident Analysis and Prevention, 38(4):751-766.spa
dc.identifier.bibliographicCitationLotero, L., Hurtado, R. G., Floría, L. M., and Gómez, J. (2016). Rich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classes. R Soc Open Sci, 3:1-12.spa
dc.identifier.bibliographicCitationMartín, L., Baena, L., Garach, L., López, G., and Oña, J. (2014). Using data mining techniques to road safety improvement in spanish roads. Procedia - Social and Behavioral Sciences, 160:607-614.spa
dc.identifier.bibliographicCitationMartínez, J. H. (2015). Analysing brain dynamics by means of networks science. PhD thesis, Universidad Politécnica de Madrid, Spain. Tesis de Doctorado.spa
dc.identifier.bibliographicCitationMartínez, J. H., López, M. E., Ariza, P., Chavez, M., Pineda, J. A., López, D., Gil, P., Maestú, F., and Buldú, J. M. (2018). Functional brain networks reveal the existence of cognitive reserve and the interplay between network topology and dynamics. Scientific Reports, 8(1):1-11.spa
dc.identifier.bibliographicCitationMartínez, L., Viegas, J., and Silva, E. (2009). A traffic analysis zone de nition: A new methodology and algorithm. Transportation, 36:581-599.spa
dc.identifier.bibliographicCitationMinisterio de Transporte (2020). Código nacional de tránsito. https://www.mintransporte.gov.co/documentos/17/leyes/. [Online; último acceso 9-abril-2020].spa
dc.identifier.bibliographicCitationMohammed, A., Ambak, K., Mosa, A., and D., S. (2018). Classification of traffic accident prediction models: A review paper. pages 7-9.spa
dc.identifier.bibliographicCitationNewman, M. E. J. (2013). Networks: An introduction. The Journal of Mathematical Sociology, 7(4):250-251.spa
dc.identifier.bibliographicCitationNorza, E., Romero, M., Moreno, J., Díaz, R., Useche, S., and Gómez, I. (2013). Caracterización de la accidentalidad en Colombia: Análisis del fenómeno desde el estudio del factor humano.spa
dc.identifier.bibliographicCitationOrganización Mundial de la Salud (2015). Informe sobre la situación mundial de la seguridad vial 2015. https://www.who.int/violence_injury_prevention/road_safety_status/2015/es/. [Online; último acceso 9-abril-2020].spa
dc.identifier.bibliographicCitationQureshi, Z. H. (2008). A review of accident modelling approaches for complex critical sociotechnical systems.spa
dc.identifier.bibliographicCitationRamasco, J., Dorogovtsev, S. N., and Pastor, R. (2004). Self-organization of collaboration networks. Physical Review E, 70(3).spa
dc.identifier.bibliographicCitationSecretaría de Educación del Distrito (2020). Guías para la elaboración de planes de movilidad escolar. https://www.educacionbogota.edu.co. [Online; último acceso 7-mayo-2020].spa
dc.identifier.bibliographicCitationShealy, J. E. (1979). Impact of theory of accident causation on intervention strategies. Proceedings of the Human Factors Society Annual Meeting, 23(1):225-229.spa
dc.identifier.bibliographicCitationSoriano, D., Lotero, L., Arenas, A., and Gómez, J. (2018). Spreading processes in multiplex metapopulations containing different mobility networks. Physical Review X, 8(3).spa
dc.identifier.bibliographicCitationStanton, W. A. and Willenbrock, J. H. (1990). Conceptual framework for computerbased, construction safety control. Journal of Construction Engineering and Management, 116(3):383-398.spa
dc.identifier.bibliographicCitationWang, X., Jin, Y., M., A., Tremont, P. J., and Xiaohong, C. (2012). Macrolevel model development for safety assessment of road network structures. Transportation Research Record: Journal of the Transportation Research Board, 2280(1):100-109.spa
dc.identifier.bibliographicCitationWorld Health Organization (2010). A decade of action for road and safety: A brief planning document. https://www.who.int/roadsafety/Decade_of_action.pdf. [Online; último acceso 9-abril-2020].spa
dc.identifier.bibliographicCitationWorld Health Organization (2018). Who in countries-statistics. https://www.who.int/data/gho/data/countries. [Online; último acceso 16-abril-2020].spa
dc.identifier.bibliographicCitationXiugang, L., Lord, D., Zhang, Y., and Xie, Y. (2008). Predicting motor vehicle crashes using support vector machine models. Accident Analysis and Prevention, 40:1611-8.spa
dc.identifier.instnameinstname:Universidad Antonio Nariñospa
dc.identifier.reponamereponame:Repositorio Institucional UANspa
dc.identifier.repourlrepourl:https://repositorio.uan.edu.co/spa
dc.identifier.urihttp://repositorio.uan.edu.co/handle/123456789/2795
dc.language.isospaspa
dc.publisherUniversidad Antonio Nariñospa
dc.publisher.campusBogotá - Circunvalarspa
dc.publisher.facultyFacultad de Cienciasspa
dc.publisher.programMaestría en Ingeniería Físicaspa
dc.rightsAcceso abierto
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)spa
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subjectMovilidades_ES
dc.subjectCiencia de redeses_ES
dc.subjectComplejidades_ES
dc.subjectEntropíaes_ES
dc.subjectZATes_ES
dc.subject.keywordMobilityes_ES
dc.subject.keywordNetwork Sciencees_ES
dc.subject.keywordComplexityes_ES
dc.subject.keywordEntropyes_ES
dc.subject.keywordTAZes_ES
dc.titleEstudio de la accidentalidad vial en Bogotá usando ciencia de redeses_ES
dc.typeTesis y disertaciones (Maestría y/o Doctorado)spa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
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