Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


akron1247599441.pdf (975.39 KB)

ETD Abstract Container

Abstract Header

Mixed Multinomial Logit Analysis of Bicyclist Injury-severity in Single Motor Vehicle Crashes Based on Intersection and Non Intersection Locations

Moore, Darren N.
http://rave.ohiolink.edu/etdc/view?acc_num=akron1247599441

Abstract Details

2009, Master of Science, University of Akron, Civil Engineering.
Standard multinomial (MNL) and mixed multinomial logit (MMNL) models are used to estimate the degree of influence bicyclist, driver, motor vehicle, crash geometry, roadway geometry and environmental characteristics have on bicyclist injury-severity, classified as property damage only, possible, non-incapacitating or severe. This study is based on 10, 579 crash observations in the State of Ohio from 2002-2008. A log-likelihood ratio test is used to divide the bicycle/motor vehicle crashes into intersection and non-intersection location crashes. These models are used as base models for intersection and non-intersection MMNL models. Many variables are significant in both intersection and non-intersection location models. But six variables influenced bicyclist injury-severity at intersection locations but not non-intersection locations. Four variables influenced bicyclist injury-severity at non-intersection locations but not intersection locations. Some interesting finding are at intersection locations, the likelihood for a severe bicyclist injury increases by 31% if the bicyclist is not wearing a helmet, 99% if the motorist is under the influence of alcohol, 144% if the motor vehicle is a van, 59% if the motor vehicle front strikes the side of the bicycle, and 337% if the crash occurs on a horizontal curve with a grade. Non-intersection locations show the likelihood for a severe bicyclist injury increases by 608% if the bicyclist is under the influence of drugs, 194% if the motorist is under the influence of alcohol, 91% if the motor vehicle front strikes the side of the bicycle and 122% if motor vehicle is a heavy-duty truck.
William Schneider, PhD (Advisor)
163 p.
Transportation
bicycle safety; bicycle crash; motor vehicle crash; intersections; mixed logit; multinomial logit; discrete outcome

Recommended Citations

Citations

  • Moore, D. N. (2009). Mixed Multinomial Logit Analysis of Bicyclist Injury-severity in Single Motor Vehicle Crashes Based on Intersection and Non Intersection Locations [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1247599441

    APA Style (7th edition)

  • Moore, Darren. Mixed Multinomial Logit Analysis of Bicyclist Injury-severity in Single Motor Vehicle Crashes Based on Intersection and Non Intersection Locations. 2009. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1247599441.

    MLA Style (8th edition)

  • Moore, Darren. "Mixed Multinomial Logit Analysis of Bicyclist Injury-severity in Single Motor Vehicle Crashes Based on Intersection and Non Intersection Locations." Master's thesis, University of Akron, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1247599441

    Chicago Manual of Style (17th edition)

akron1247599441
1,054
© 2009, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.