Random Parameter Negative Binomial Model of Signalized Intersections
Joint Authors
Park, Minho
Lee, Dongmin
Jeon, Jinwoo
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Factors affecting accident frequencies at 72 signalized intersections in the Gyeonggi-Do (province) over a four-year period (2007~2010) were explored using the random parameters negative binomial model.
The empirical results from the comparison with fixed parameters binomial model show that the random parameters model outperforms its fixed parameters counterpart and provides a fuller understanding of the factors which determine accident frequencies at signalized intersections.
In addition, elasticity and marginal effect were estimated to gain more insight into the effects of one-percent and one-unit changes in the dependent variable from changes in the independent variables.
American Psychological Association (APA)
Park, Minho& Lee, Dongmin& Jeon, Jinwoo. 2016. Random Parameter Negative Binomial Model of Signalized Intersections. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111720
Modern Language Association (MLA)
Park, Minho…[et al.]. Random Parameter Negative Binomial Model of Signalized Intersections. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1111720
American Medical Association (AMA)
Park, Minho& Lee, Dongmin& Jeon, Jinwoo. Random Parameter Negative Binomial Model of Signalized Intersections. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111720
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111720