Analysis on Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable

<p>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 betw...

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Main Authors: Xuecai Xu, Ahmad Kouhpanejade, Željko Šarić
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2013-06-01
Series:Promet (Zagreb)
Subjects:
Online Access:http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/291
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spelling doaj-467a6be2ebcf4b929e361182befbdbde2020-11-24T23:58:07ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692013-06-0125321722410.7307/ptt.v25i3.2911059Analysis on Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous VariableXuecai Xu0Ahmad Kouhpanejade1Željko Šarić2Huazhong University of Science and TechnologyUniversity of Nevada, Las VegasUniversity of Zagreb, Croatia<p>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 meanwhile 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 AADT per lane are statistically significant factors that influence crash rates on segments, moreover, crash rates are significantly influenced by two-directional median opening density. </p>http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/291Access Management TechniquesCrash RatesTravel Speeds,Tobit Model with Endogenous Variable
collection DOAJ
language English
format Article
sources DOAJ
author Xuecai Xu
Ahmad Kouhpanejade
Željko Šarić
spellingShingle Xuecai Xu
Ahmad Kouhpanejade
Željko Šarić
Analysis on Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable
Promet (Zagreb)
Access Management Techniques
Crash Rates
Travel Speeds,Tobit Model with Endogenous Variable
author_facet Xuecai Xu
Ahmad Kouhpanejade
Željko Šarić
author_sort Xuecai Xu
title Analysis on Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable
title_short Analysis on Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable
title_full Analysis on Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable
title_fullStr Analysis on Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable
title_full_unstemmed Analysis on Influencing Factors Identification of Crash Rates Using Tobit Model with Endogenous Variable
title_sort analysis on influencing factors identification of crash rates using tobit model with endogenous variable
publisher University of Zagreb, Faculty of Transport and Traffic Sciences
series Promet (Zagreb)
issn 0353-5320
1848-4069
publishDate 2013-06-01
description <p>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 meanwhile 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 AADT per lane are statistically significant factors that influence crash rates on segments, moreover, crash rates are significantly influenced by two-directional median opening density. </p>
topic Access Management Techniques
Crash Rates
Travel Speeds,Tobit Model with Endogenous Variable
url http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/291
work_keys_str_mv AT xuecaixu analysisoninfluencingfactorsidentificationofcrashratesusingtobitmodelwithendogenousvariable
AT ahmadkouhpanejade analysisoninfluencingfactorsidentificationofcrashratesusingtobitmodelwithendogenousvariable
AT zeljkosaric analysisoninfluencingfactorsidentificationofcrashratesusingtobitmodelwithendogenousvariable
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