The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach
Introduction. Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the pri...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2019/6031482 |
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| author | Juan Diego Febres Fatemeh Mohamadi Miguel. A. Mariscal S. Herrera Susana García-Herrero |
| author_facet | Juan Diego Febres Fatemeh Mohamadi Miguel. A. Mariscal S. Herrera Susana García-Herrero |
| author_sort | Juan Diego Febres |
| collection | DOAJ |
| description | Introduction. Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the prime factors that cause this type of injuries. The aim of this study, therefore, is to explore the behavioral factors that entail a higher risk of suffering either a serious or a fatal injury for drivers. Methods. The findings are based on information and data provided by “Dirección General de Tráfico” (DGT) in Spain on traffic injuries that occurred in the year 2016. Reviewing a wide range of the literature, the authors identified the most influential variables and created a model using the Bayesian networks. The variables that define the model are grouped into four factors: vehicle factor, road factor, circumstantial factor and human factor. Results. The results suggest that the principal variables that determine a higher probability of serious or fatal injuries in traffic injuries are: lack of using appropriate safety accessories, high-speed violations, distractions as well as errors. Finally, the research shows the severity probability based on reason of displacement (“in itinere,” on business, or in leisure). |
| format | Article |
| id | doaj-art-c39bab87585643e8a99d629a42d5319e |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-c39bab87585643e8a99d629a42d5319e2025-02-03T06:07:09ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/60314826031482The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network ApproachJuan Diego Febres0Fatemeh Mohamadi1Miguel. A. Mariscal2S. Herrera3Susana García-Herrero4Department of Chemistry and Exact Sciences, Universidad Técnica Particular de Loja, P.O. Box 11 01 608, Loja, EcuadorSchool of Architecture and Cities, University of Westminster, London, UKDepartamento de Ingeniería Civil, Universidad de Burgos, Avda. Cantabria s/n, Burgos 09006, SpainDepartment of Applied Mathematics & Comp Science, Universidad de Cantabria, Santander, SpainSchool of Architecture and Cities, University of Westminster, London, UKIntroduction. Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the prime factors that cause this type of injuries. The aim of this study, therefore, is to explore the behavioral factors that entail a higher risk of suffering either a serious or a fatal injury for drivers. Methods. The findings are based on information and data provided by “Dirección General de Tráfico” (DGT) in Spain on traffic injuries that occurred in the year 2016. Reviewing a wide range of the literature, the authors identified the most influential variables and created a model using the Bayesian networks. The variables that define the model are grouped into four factors: vehicle factor, road factor, circumstantial factor and human factor. Results. The results suggest that the principal variables that determine a higher probability of serious or fatal injuries in traffic injuries are: lack of using appropriate safety accessories, high-speed violations, distractions as well as errors. Finally, the research shows the severity probability based on reason of displacement (“in itinere,” on business, or in leisure).http://dx.doi.org/10.1155/2019/6031482 |
| spellingShingle | Juan Diego Febres Fatemeh Mohamadi Miguel. A. Mariscal S. Herrera Susana García-Herrero The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach Journal of Advanced Transportation |
| title | The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_full | The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_fullStr | The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_full_unstemmed | The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_short | The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_sort | role of journey purpose in road traffic injuries a bayesian network approach |
| url | http://dx.doi.org/10.1155/2019/6031482 |
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