Factors Associated with the Incidence of Deaths in Traffic Accidents on Federal Highways in the State of Santa Catarina - Brazil

The present research sought to investigate, through a logistic regression model, how certain factors can contribute to the occurrence of fatal accidents on federal highways in the state of Santa Catarina -Brazil. Thus, public data from the Federal Highway Police on accidents that occurred from 2007...

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Autores principales: Borba Broering , Wellington, Schoenhals Delavy , Francieli, Konrath , Andrea Cristina Konrath, Nakamura , Luiz Ricardo, do Carmo Comparsi de Vargas , Vera
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Filosofía y Letras, Universidad de Buenos Aires 2022
Materias:
Acceso en línea:http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/12121
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spelling I28-R264-article-121212022-12-06T12:54:29Z Factors Associated with the Incidence of Deaths in Traffic Accidents on Federal Highways in the State of Santa Catarina - Brazil Fatores Associados à Incidência de Óbitos em Acidentes de Trânsito nas Rodovias Federais do Estado de Santa Catarina, Brasil Borba Broering , Wellington Schoenhals Delavy , Francieli Konrath , Andrea Cristina Konrath Nakamura , Luiz Ricardo do Carmo Comparsi de Vargas , Vera Logistic regression model. Traffic-accidents. Deaths on federal highways. Santa Catarina state. Public data from the Federal Highway Police. Modelo de regresión logística. Accidentes de tráfico. Muertes en las carreteras federales. Estado de Santa Catarina. Datos públicos de la Policía Federal de Caminos. Modelo de regressão logístico. Acidentes de trânsito. Óbitos em rodovias federais. Estado de Santa Catarina. Dados públicos da Polícia Rodoviária Federal The present research sought to investigate, through a logistic regression model, how certain factors can contribute to the occurrence of fatal accidents on federal highways in the state of Santa Catarina -Brazil. Thus, public data from the Federal Highway Police on accidents that occurred from 2007 to 2018 were used. The final logistic model allowed to establishment the odds ratio of the main categories among the variables of meteorological condition, phases of the day, causes of the accident, type of accident and route layout. Factors such as frontal collision, run over, dawn, road/environmental cause and sunny conditions were the most representative in this context. Elements associated with the lack of central medians and pedestrian walkways, low visibility while driving and fatigue at the steering wheel were major contributors to the increased severity of collisions. The greatest odds ratios for the road/environmental factors and sunny condition were considered unexpected results, against the premise that the human factor and wet conditions contribute more significantly to the occurrence of deaths. The lack of information about the condition of the road at the time of the accident, the volume of traffic on the highways and the type of vehicle were limiting factors for the study. A presente pesquisa buscou investigar, por meio de um modelo de regressão logístico, como determinados fatores podem contribuir para a ocorrência de acidentes fatais em rodovias federais do estado de Santa Catarina - Brasil. Para tal, foram utilizados dados públicos da Polícia Rodoviária Federal sobre acidentes ocorridos no período de 2007 a 2018. O modelo logístico final permitiu estabelecer a razão de chances das principais categorias dentro das variáveis condição meteorológica, fases do dia, causas do acidente, tipo de acidente e traçado da via. Fatores como colisão frontal, atropelamento, amanhecer, causa viária/ambiental e condições ensolaradas foram os mais representativos nesse contexto. Elementos associados à falta de canteiros centrais e passarelas para pedestres, baixa visibilidade durante a condução e fadiga ao volante foram grandes contribuintes para o aumento da gravidade das colisões. As maiores razões de chances para os fatores viário/ambiental e condição ensolarada foram considerados resultados inesperados, indo de encontro à premissa de que o fator humano e condições de pista molhada contribuem mais significativamente para a ocorrência de óbitos. A falta de informações sobre a condição da pista no momento do acidente, o volume de tráfego das rodovias e o tipo de veículo foram fatores limitantes para o estudo. Facultad de Filosofía y Letras, Universidad de Buenos Aires 2022-11-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/12121 10.34096/rtt.i26.12121 Revista Transporte y Territorio; Núm. 26 (2022): Enero-Junio 1852-7175 spa http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/12121/10689 Derechos de autor 2022 Revista Transporte y Territorio
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-264
container_title_str Revista Transporte y Territorio
language Español
format Artículo revista
topic Logistic regression model. Traffic-accidents. Deaths on federal highways. Santa Catarina state. Public data from the Federal Highway Police.
Modelo de regresión logística. Accidentes de tráfico. Muertes en las carreteras federales. Estado de Santa Catarina. Datos públicos de la Policía Federal de Caminos.
Modelo de regressão logístico. Acidentes de trânsito. Óbitos em rodovias federais. Estado de Santa Catarina. Dados públicos da Polícia Rodoviária Federal
spellingShingle Logistic regression model. Traffic-accidents. Deaths on federal highways. Santa Catarina state. Public data from the Federal Highway Police.
Modelo de regresión logística. Accidentes de tráfico. Muertes en las carreteras federales. Estado de Santa Catarina. Datos públicos de la Policía Federal de Caminos.
Modelo de regressão logístico. Acidentes de trânsito. Óbitos em rodovias federais. Estado de Santa Catarina. Dados públicos da Polícia Rodoviária Federal
Borba Broering , Wellington
Schoenhals Delavy , Francieli
Konrath , Andrea Cristina Konrath
Nakamura , Luiz Ricardo
do Carmo Comparsi de Vargas , Vera
Factors Associated with the Incidence of Deaths in Traffic Accidents on Federal Highways in the State of Santa Catarina - Brazil
topic_facet Logistic regression model. Traffic-accidents. Deaths on federal highways. Santa Catarina state. Public data from the Federal Highway Police.
Modelo de regresión logística. Accidentes de tráfico. Muertes en las carreteras federales. Estado de Santa Catarina. Datos públicos de la Policía Federal de Caminos.
Modelo de regressão logístico. Acidentes de trânsito. Óbitos em rodovias federais. Estado de Santa Catarina. Dados públicos da Polícia Rodoviária Federal
author Borba Broering , Wellington
Schoenhals Delavy , Francieli
Konrath , Andrea Cristina Konrath
Nakamura , Luiz Ricardo
do Carmo Comparsi de Vargas , Vera
author_facet Borba Broering , Wellington
Schoenhals Delavy , Francieli
Konrath , Andrea Cristina Konrath
Nakamura , Luiz Ricardo
do Carmo Comparsi de Vargas , Vera
author_sort Borba Broering , Wellington
title Factors Associated with the Incidence of Deaths in Traffic Accidents on Federal Highways in the State of Santa Catarina - Brazil
title_short Factors Associated with the Incidence of Deaths in Traffic Accidents on Federal Highways in the State of Santa Catarina - Brazil
title_full Factors Associated with the Incidence of Deaths in Traffic Accidents on Federal Highways in the State of Santa Catarina - Brazil
title_fullStr Factors Associated with the Incidence of Deaths in Traffic Accidents on Federal Highways in the State of Santa Catarina - Brazil
title_full_unstemmed Factors Associated with the Incidence of Deaths in Traffic Accidents on Federal Highways in the State of Santa Catarina - Brazil
title_sort factors associated with the incidence of deaths in traffic accidents on federal highways in the state of santa catarina - brazil
description The present research sought to investigate, through a logistic regression model, how certain factors can contribute to the occurrence of fatal accidents on federal highways in the state of Santa Catarina -Brazil. Thus, public data from the Federal Highway Police on accidents that occurred from 2007 to 2018 were used. The final logistic model allowed to establishment the odds ratio of the main categories among the variables of meteorological condition, phases of the day, causes of the accident, type of accident and route layout. Factors such as frontal collision, run over, dawn, road/environmental cause and sunny conditions were the most representative in this context. Elements associated with the lack of central medians and pedestrian walkways, low visibility while driving and fatigue at the steering wheel were major contributors to the increased severity of collisions. The greatest odds ratios for the road/environmental factors and sunny condition were considered unexpected results, against the premise that the human factor and wet conditions contribute more significantly to the occurrence of deaths. The lack of information about the condition of the road at the time of the accident, the volume of traffic on the highways and the type of vehicle were limiting factors for the study.
publisher Facultad de Filosofía y Letras, Universidad de Buenos Aires
publishDate 2022
url http://revistascientificas.filo.uba.ar/index.php/rtt/article/view/12121
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first_indexed 2023-06-27T21:23:44Z
last_indexed 2023-06-27T21:23:44Z
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