Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model
Joint Authors
Chen, Feng
Ma, Xiaoxiang
Dong, Bowen
Chen, S.
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Road traffic accidents are believed to be associated with not only road geometric feature and traffic characteristic, but also weather condition.
To address these safety issues, it is of paramount importance to understand how these factors affect the occurrences of the crashes.
Existing studies have suggested that the mechanisms of single-vehicle (SV) accidents and multivehicle (MV) accidents can be very different.
Few studies were conducted to examine the difference of SV and MV accident probability by addressing unobserved heterogeneity at the same time.
To investigate the different contributing factors on SV and MV, a mixed logit model is employed using disaggregated data with the response variable categorized as no accidents, SV accidents, and MV accidents.
The results indicate that, in addition to speed gap, length of segment, and wet road surfaces which are significant for both SV and MV accidents, most of other variables are significant only for MV accidents.
Traffic, road, and surface characteristics are main influence factors of SV and MV accident possibility.
Hourly traffic volume, inside shoulder width, and wet road surface are found to produce statistically significant random parameters.
Their effects on the possibility of SV and MV accident vary across different road segments.
American Psychological Association (APA)
Dong, Bowen& Ma, Xiaoxiang& Chen, Feng& Chen, S.. 2018. Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181077
Modern Language Association (MLA)
Dong, Bowen…[et al.]. Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model. Journal of Advanced Transportation No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1181077
American Medical Association (AMA)
Dong, Bowen& Ma, Xiaoxiang& Chen, Feng& Chen, S.. Investigating the Differences of Single-Vehicle and Multivehicle Accident Probability Using Mixed Logit Model. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181077
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181077