Analysis of Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable
Document Type
Article
Publication Date
2013
Publication Title
Promet-Traffic & Transportation
Volume
25
Issue
3
First page number:
217
Last page number:
224
Abstract
The objective of this study is to identify the influencing factors of crash rates from the perspective of access management techniques in urban areas. The target areas are located in the Las Vegas Metropolitan area, and 19 arterials are selected. In order to address the interdependency between crash rates and travel speeds, and left-censored issue, a tobit model with endogenous variable is presented. The structure of the tobit model addresses the left-censored issue for the segments while the endogeneity issue between crash rates and travel speeds is explained. The results indicate that there is a strong interdependency between crash rates and travel speeds. The segment length, driveway density, median opening density, posted speed limit and annual average daily traffic (AADT) per lane are statistically significant factors that influence crash rates on the segments; moreover, crash rates are significantly influenced by two-directional median opening density.
Keywords
Access management techniques; Automobile drivers; Automobile drivers—Accidents; Automobilesl; Automobiles—Speed; Crash rates; Speed limits; Tobit model with endogenous variable; Traffic accidents; Travel speeds
Disciplines
Civil and Environmental Engineering | Civil Engineering | Transportation | Urban Studies | Urban Studies and Planning
Language
English
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Repository Citation
Xu, X.,
Koupaenejad, A.,
Šaric, Z.
(2013).
Analysis of Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable.
Promet-Traffic & Transportation, 25(3),
217-224.