Influence of Multiple Freeway Design Features on Freight Traffic Safety
Joint Authors
Park, Juneyoung
Abdel-Aty, Mohamed
Wang, Ling
Lee, Gunwoo
Hong, Jungyeol
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Since various freeway design features are simultaneously installed on roadways, it is important to assess their combined safety effects correctly.
This study investigated associations between multiple roadway cross-section design features on freeways and traffic safety.
In order to consider the interaction impact of multiple design features and nonlinearity of predictors concurrently, multivariate adaptive regression splines (MARS) models were developed for all types and freight vehicle crashes.
In MARS models, a series of basis functions is applied to represent the space of predictors and the combined safety effectiveness of multiple design features can be interpreted by the interaction terms.
The generalized linear regression models (GLMs) with negative binomial (NB) distribution were also evaluated for comparison purposes.
The results determine that the MARS models show better model fitness than the NB models due to its strength to reflect the nonlinearity of crash predictors and interaction impacts among variables under different ranges.
Various interaction impacts among parameters under different ranges based on knot values were found from the MARS models, whereas two interaction terms were found in the NB models.
The results also showed that the combined safety effects of multiple treatments from the NB models over-estimated the real combined safety effects when using the simple multiplication approach suggested by the HSM (Highway Safety Manual).
Therefore, it can be recommended that the MARS is applied to evaluate the safety impacts of multiple treatments to consider both the interaction impacts among treatments and nonlinearity issues simultaneously.
American Psychological Association (APA)
Park, Juneyoung& Abdel-Aty, Mohamed& Wang, Ling& Lee, Gunwoo& Hong, Jungyeol. 2019. Influence of Multiple Freeway Design Features on Freight Traffic Safety. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1169962
Modern Language Association (MLA)
Park, Juneyoung…[et al.]. Influence of Multiple Freeway Design Features on Freight Traffic Safety. Journal of Advanced Transportation No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1169962
American Medical Association (AMA)
Park, Juneyoung& Abdel-Aty, Mohamed& Wang, Ling& Lee, Gunwoo& Hong, Jungyeol. Influence of Multiple Freeway Design Features on Freight Traffic Safety. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1169962
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169962