Investigation of powered 2-wheeler accident involvement in urban arterials by considering real-time traffic and weather data. (3rd April 2017)
- Record Type:
- Journal Article
- Title:
- Investigation of powered 2-wheeler accident involvement in urban arterials by considering real-time traffic and weather data. (3rd April 2017)
- Main Title:
- Investigation of powered 2-wheeler accident involvement in urban arterials by considering real-time traffic and weather data
- Authors:
- Theofilatos, Athanasios
Yannis, George - Abstract:
- ABSTRACT: Objective : Understanding the various factors that affect accident risk is of particular concern to decision makers and researchers. The incorporation of real-time traffic and weather data constitutes a fruitful approach when analyzing accident risk. However, the vast majority of relevant research has no specific focus on vulnerable road users such as powered 2-wheelers (PTWs). Moreover, studies using data from urban roads and arterials are scarce. This study aims to add to the current knowledge by considering real-time traffic and weather data from 2 major urban arterials in the city of Athens, Greece, in order to estimate the effect of traffic, weather, and other characteristics on PTW accident involvement. Methods : Because of the high number of candidate variables, a random forest model was applied to reveal the most important variables. Then, the potentially significant variables were used as input to a Bayesian logistic regression model in order to reveal the magnitude of their effect on PTW accident involvement. Results : The results of the analysis suggest that PTWs are more likely to be involved in multivehicle accidents than in single-vehicle accidents. It was also indicated that increased traffic flow and variations in speed have a significant influence on PTW accident involvement. On the other hand, weather characteristics were found to have no effect. Conclusions : The findings of this study can contribute to the understanding of accident mechanisms ofABSTRACT: Objective : Understanding the various factors that affect accident risk is of particular concern to decision makers and researchers. The incorporation of real-time traffic and weather data constitutes a fruitful approach when analyzing accident risk. However, the vast majority of relevant research has no specific focus on vulnerable road users such as powered 2-wheelers (PTWs). Moreover, studies using data from urban roads and arterials are scarce. This study aims to add to the current knowledge by considering real-time traffic and weather data from 2 major urban arterials in the city of Athens, Greece, in order to estimate the effect of traffic, weather, and other characteristics on PTW accident involvement. Methods : Because of the high number of candidate variables, a random forest model was applied to reveal the most important variables. Then, the potentially significant variables were used as input to a Bayesian logistic regression model in order to reveal the magnitude of their effect on PTW accident involvement. Results : The results of the analysis suggest that PTWs are more likely to be involved in multivehicle accidents than in single-vehicle accidents. It was also indicated that increased traffic flow and variations in speed have a significant influence on PTW accident involvement. On the other hand, weather characteristics were found to have no effect. Conclusions : The findings of this study can contribute to the understanding of accident mechanisms of PTWs and reduce PTW accident risk in urban arterials. … (more)
- Is Part Of:
- Traffic injury prevention. Volume 18:Number 3(2017)
- Journal:
- Traffic injury prevention
- Issue:
- Volume 18:Number 3(2017)
- Issue Display:
- Volume 18, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 18
- Issue:
- 3
- Issue Sort Value:
- 2017-0018-0003-0000
- Page Start:
- 293
- Page End:
- 298
- Publication Date:
- 2017-04-03
- Subjects:
- Powered 2-wheelers -- accidents -- real-time data -- urban arterials
Traffic safety -- Periodicals
Traffic accidents -- Periodicals
Wounds and injuries -- Prevention -- Periodicals
363.125 - Journal URLs:
- http://www.tandfonline.com/toc/gcpi20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/15389588.2016.1198871 ↗
- Languages:
- English
- ISSNs:
- 1538-9588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8882.133000
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British Library HMNTS - ELD Digital store - Ingest File:
- 2314.xml