Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá

This research shows the results of applying the technique of using Kernel density variables to develop accident density maps on motorcycles.  Though Geographic Information Systems (GIS) in the city of Tunja, Boyacá, which is listed as an intermediate city according to DANE, in the period co...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/10088
Acceso en línea:
https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/10740
https://repositorio.uptc.edu.co/handle/001/10088
Palabra clave:
accidente de tráfico
densidad y concentración de accidentes
seguridad del transporte
sistema de información geográfica
density and accidents gathering
geographic information system
transport security
traffic accident
Rights
License
Derechos de autor 2020 Juan Camilo Pérez-Cantor
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network_acronym_str REPOUPTC2
network_name_str RiUPTC: Repositorio Institucional UPTC
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dc.title.en-US.fl_str_mv Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá
dc.title.es-ES.fl_str_mv Análisis de Accidentalidad vial de motocicletas mediante Sistemas de Información Geográfico. Caso estudio: Tunja-Boyacá
title Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá
spellingShingle Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá
accidente de tráfico
densidad y concentración de accidentes
seguridad del transporte
sistema de información geográfica
density and accidents gathering
geographic information system
transport security
traffic accident
title_short Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá
title_full Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá
title_fullStr Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá
title_full_unstemmed Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá
title_sort Road Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-Boyacá
dc.subject.es-ES.fl_str_mv accidente de tráfico
densidad y concentración de accidentes
seguridad del transporte
sistema de información geográfica
topic accidente de tráfico
densidad y concentración de accidentes
seguridad del transporte
sistema de información geográfica
density and accidents gathering
geographic information system
transport security
traffic accident
dc.subject.en-US.fl_str_mv density and accidents gathering
geographic information system
transport security
traffic accident
description This research shows the results of applying the technique of using Kernel density variables to develop accident density maps on motorcycles.  Though Geographic Information Systems (GIS) in the city of Tunja, Boyacá, which is listed as an intermediate city according to DANE, in the period corresponding to 2016-2018. In Boyacá, specifically in its capital, Tunja. It is important to implement new measures that are the result of research and so that they can adapt to the geographical, economic, and social characteristics of the studied area in order to mitigate the situation that occurs due to various causes attributed to drivers, mainly motorcyclists, who involve pedestrians and different road users. This analysis contemplates the different road corridors with accident rate in the city of Tunja. It is important to emphasize that the research was carried out under a qualitative and quantitative approach; the information was extracted from databases obtaining the parameters that determine the Kernel density variables through Geographic Information Systems (GIS). The points of view of the actors involved in this case the motorcyclists were evaluated and analyzed. Finally, this research concludes the spatial and temporal analysis to identify the sections of critical incidence in the city, which can be corrected through architectural, engineering and urban interventions to improve, prevent and avoid accidents in the city.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2024-07-05T17:52:51Z
dc.date.available.none.fl_str_mv 2024-07-05T17:52:51Z
dc.date.none.fl_str_mv 2019-12-31
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a134
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/10740
10.19053/01201190.n28.2020.10740
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/10088
url https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/10740
https://repositorio.uptc.edu.co/handle/001/10088
identifier_str_mv 10.19053/01201190.n28.2020.10740
dc.language.none.fl_str_mv spa
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/10740/9179
https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/10740/9464
dc.rights.es-ES.fl_str_mv Derechos de autor 2020 Juan Camilo Pérez-Cantor
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.none.fl_str_mv http://purl.org/coar/access_right/c_abf51
rights_invalid_str_mv Derechos de autor 2020 Juan Camilo Pérez-Cantor
http://purl.org/coar/access_right/c_abf51
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
application/xml
dc.coverage.en-US.fl_str_mv N.A.
dc.coverage.es-ES.fl_str_mv N.A.
dc.publisher.es-ES.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Pensamiento y Acción; No. 28 (2020): January-June 2020; 3-17
dc.source.es-ES.fl_str_mv Pensamiento y Acción; Núm. 28 (2020): Enero-Junio 2020; 3-17
dc.source.none.fl_str_mv 2619-3353
0120-1190
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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spelling 2019-12-312024-07-05T17:52:51Z2024-07-05T17:52:51Zhttps://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/1074010.19053/01201190.n28.2020.10740https://repositorio.uptc.edu.co/handle/001/10088This research shows the results of applying the technique of using Kernel density variables to develop accident density maps on motorcycles.  Though Geographic Information Systems (GIS) in the city of Tunja, Boyacá, which is listed as an intermediate city according to DANE, in the period corresponding to 2016-2018. In Boyacá, specifically in its capital, Tunja. It is important to implement new measures that are the result of research and so that they can adapt to the geographical, economic, and social characteristics of the studied area in order to mitigate the situation that occurs due to various causes attributed to drivers, mainly motorcyclists, who involve pedestrians and different road users. This analysis contemplates the different road corridors with accident rate in the city of Tunja. It is important to emphasize that the research was carried out under a qualitative and quantitative approach; the information was extracted from databases obtaining the parameters that determine the Kernel density variables through Geographic Information Systems (GIS). The points of view of the actors involved in this case the motorcyclists were evaluated and analyzed. Finally, this research concludes the spatial and temporal analysis to identify the sections of critical incidence in the city, which can be corrected through architectural, engineering and urban interventions to improve, prevent and avoid accidents in the city.En el trabajo se presentan los resultados al aplicar la técnica del uso de variables de densidades de Kernel para elaborar mapas de densidades de accidentes en motocicletas, empleando Sistemas de Información Geográfica (SIG), en la ciudad de Tunja-Boyacá, la cual está catalogada como una ciudad intermedia según clasificación del DANE, en el periodo correspondiente a 2016-2018. En Boyacá, específicamente en su capital, Tunja, es importante implementar nuevas medidas que sean resultado de investigaciones y se acoplen a las características geográficas, económicas y sociales de la zona en estudio, para así mitigar la situación que se presenta por diversas causas atribuidas a los conductores, principalmente, a los motociclistas, quienes involucran a peatones y a otros usuarios de las vías. Este análisis contempla los corredores viales de Tunja en donde se presenta siniestralidad. Cabe señalar que la investigación se desarrolló bajo un enfoque cualitativo y cuantitativo; la información se extrajo de bases de datos, obteniendo los parámetros que determinan las variables de densidad de Kernel mediante los SIG; se evaluaron y analizaron los puntos de vista de los actores involucrados, los motociclistas. Finalmente, se concluye el análisis espacial y temporal para identificar los tramos de incidencia crítica en la ciudad, los cuales pueden ser subsanados a partir de intervenciones arquitectónicas, ingenieriles y urbanísticas para mejorar, prevenir y evitar la siniestralidad en la ciudad.application/pdfapplication/xmlspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/10740/9179https://revistas.uptc.edu.co/index.php/pensamiento_accion/article/view/10740/9464Derechos de autor 2020 Juan Camilo Pérez-Cantorhttp://purl.org/coar/access_right/c_abf51http://purl.org/coar/access_right/c_abf2Pensamiento y Acción; No. 28 (2020): January-June 2020; 3-17Pensamiento y Acción; Núm. 28 (2020): Enero-Junio 2020; 3-172619-33530120-1190accidente de tráficodensidad y concentración de accidentesseguridad del transportesistema de información geográficadensity and accidents gatheringgeographic information systemtransport securitytraffic accidentRoad Accident Analysis of Motorcycles Using Geographic Information System. Case Study: Tunja-BoyacáAnálisis de Accidentalidad vial de motocicletas mediante Sistemas de Información Geográfico. Caso estudio: Tunja-Boyacáinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a134http://purl.org/coar/version/c_970fb48d4fbd8a85N.A.N.A.Pérez-Cantor, Juan Camilo001/10088oai:repositorio.uptc.edu.co:001/100882025-07-18 11:39:12.79metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co