Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá

This paper aims at analyzing which are the characteristics of the fatal road accidents occurring in Bogotá in 2008 by using the Algorithm K-means in order to identify accident circumstances that frequently occur together. Results show that two pair of interactions characterize most of fatal road acc...

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Autores:: Díaz Acosta, Claudia Andrea

Tipo de recurso:

Fecha de publicación:: 2010

Institución:: Universidad de los Andes

Repositorio:: Séneca: repositorio Uniandes

Idioma:: eng

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spelling	Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Bocarejo Suescún, Juan Pablo15eb0c24-3040-4b17-876a-8bfe9dd0ab8f600Díaz Acosta, Claudia Andreac00c84db-6513-4f01-a853-a0cf42b923e26002018-09-28T07:56:10Z2018-09-28T07:56:10Z2010http://hdl.handle.net/1992/11397u445236.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/This paper aims at analyzing which are the characteristics of the fatal road accidents occurring in Bogotá in 2008 by using the Algorithm K-means in order to identify accident circumstances that frequently occur together. Results show that two pair of interactions characterize most of fatal road accidents: Public Transport-Pedestrians and Public Transport-Motorcycle. These exploratory results show the potentiality of the clustering techniques in order to identify specific combinations of relevant variables that will give hints for a better road safety program.Magíster en Ingeniería CivilMaestría8 hojasapplication/pdfengUniandesMaestría en Ingeniería CivilFacultad de IngenieríaDepartamento de Ingeniería Civil y Ambientalinstname:Universidad de los Andesreponame:Repositorio Institucional SénecaCharacterization of fatal road traffic accidents using K-means clustering: a case study of BogotáTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMSeguridad vial - Investigaciones - Bogotá (Colombia)Accidentes de tránsito - Investigaciones - Bogotá (Colombia)Análisis de conglomerados (Estadística) - Investigaciones - Bogotá (Colombia)IngenieríaPublicationTHUMBNAILu445236.pdf.jpgu445236.pdf.jpgIM Thumbnailimage/jpeg18720https://repositorio.uniandes.edu.co/bitstreams/32624d28-4a1e-4774-abdd-122cfb5aea33/downloadee835cff176e6ddaa554bffaf0f72a1aMD55TEXTu445236.pdf.txtu445236.pdf.txtExtracted texttext/plain20561https://repositorio.uniandes.edu.co/bitstreams/77a7caa8-faca-4a3a-a3af-ce73ba36a555/download248e83f5f0a93ccba6c1d01afac5aff4MD54ORIGINALu445236.pdfapplication/pdf250661https://repositorio.uniandes.edu.co/bitstreams/34ebe447-953a-4a4a-83aa-742feb5da509/downloadf00a1b698d6c72453519802044c28829MD511992/11397oai:repositorio.uniandes.edu.co:1992/113972023-10-10 19:56:17.292https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.es_CO.fl_str_mv	Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá
title	Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá
spellingShingle	Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá Seguridad vial - Investigaciones - Bogotá (Colombia) Accidentes de tránsito - Investigaciones - Bogotá (Colombia) Análisis de conglomerados (Estadística) - Investigaciones - Bogotá (Colombia) Ingeniería
title_short	Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá
title_full	Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá
title_fullStr	Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá
title_full_unstemmed	Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá
title_sort	Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá
dc.creator.fl_str_mv	Díaz Acosta, Claudia Andrea
dc.contributor.advisor.none.fl_str_mv	Bocarejo Suescún, Juan Pablo
dc.contributor.author.none.fl_str_mv	Díaz Acosta, Claudia Andrea
dc.subject.keyword.es_CO.fl_str_mv	Seguridad vial - Investigaciones - Bogotá (Colombia) Accidentes de tránsito - Investigaciones - Bogotá (Colombia) Análisis de conglomerados (Estadística) - Investigaciones - Bogotá (Colombia)
topic	Seguridad vial - Investigaciones - Bogotá (Colombia) Accidentes de tránsito - Investigaciones - Bogotá (Colombia) Análisis de conglomerados (Estadística) - Investigaciones - Bogotá (Colombia) Ingeniería
dc.subject.themes.none.fl_str_mv	Ingeniería
description	This paper aims at analyzing which are the characteristics of the fatal road accidents occurring in Bogotá in 2008 by using the Algorithm K-means in order to identify accident circumstances that frequently occur together. Results show that two pair of interactions characterize most of fatal road accidents: Public Transport-Pedestrians and Public Transport-Motorcycle. These exploratory results show the potentiality of the clustering techniques in order to identify specific combinations of relevant variables that will give hints for a better road safety program.
publishDate	2010
dc.date.issued.none.fl_str_mv	2010
dc.date.accessioned.none.fl_str_mv	2018-09-28T07:56:10Z
dc.date.available.none.fl_str_mv	2018-09-28T07:56:10Z
dc.type.spa.fl_str_mv	Trabajo de grado - Maestría
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dc.identifier.pdf.none.fl_str_mv	u445236.pdf
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dc.language.iso.es_CO.fl_str_mv	eng
language	eng
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dc.format.extent.es_CO.fl_str_mv	8 hojas
dc.format.mimetype.es_CO.fl_str_mv	application/pdf
dc.publisher.es_CO.fl_str_mv	Uniandes
dc.publisher.program.es_CO.fl_str_mv	Maestría en Ingeniería Civil
dc.publisher.faculty.es_CO.fl_str_mv	Facultad de Ingeniería
dc.publisher.department.es_CO.fl_str_mv	Departamento de Ingeniería Civil y Ambiental
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Characterization of fatal road traffic accidents using K-means clustering: a case study of Bogotá

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