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MaistrosA_dis (final comments 1).pdf (695.14 KB)

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A Multilevel Statistical Analysis of Impaired Driving Crashes and Law Enforcement Countermeasures

Maistros, Alexander Reed
http://rave.ohiolink.edu/etdc/view?acc_num=akron1436798274

Abstract Details

2015, Doctor of Philosophy, University of Akron, Civil Engineering.
This study in an analysis of impaired driving crashes in the United States, a problem that has claimed more than 10,000 lives each year for nearly the last half a decade. Impaired driving was commonly defined as impairment due to alcohol, but the alarming increase in drug use has prompted that impaired driving refer to impairment due to any psychoactive controlled substance including recreational drugs, narcotics, and even prescribed medication. While impaired driving is illegal throughout the United States, the rate of impaired crashes has remained level since 1994. In this study two sources of alcohol related crash data are used to determine statistical, spatial, and practical inferences of impaired crashes and their affects. First a multivariate probit model is developed in order to determine the interaction between drug related crashes with the presence of alcohol, the process of speeding, and the use of safety equipment. The second statistical model uses crash data with all injury severities in the State of Ohio to determine the interactions between male and female impaired drivers. The second part of impaired driving analysis is the analysis of potential countermeasures and the development of future tools. Data driven law enforcement is a common practice, and through a partnership with the Stark County Operating a Vehicle Impaired Task Force, impaired driving enforcement statistics are collected from 2012-2014. This data is first used to determine the effectiveness of cluster location based enforcement. The data is further used to develop of county wide route optimization and staffing tool. Through these tools, the effective groundwork for community based approaches to addressing and reducing impaired driving crashes is established.
William Schneider IV, Dr. (Advisor)
Anil Patnaik, Dr. (Committee Member)
Christopher Miller, Dr. (Committee Member)
Nicholas Garafolo, Dr. (Committee Member)
Jun Ye, Dr. (Committee Member)
98 p.
Civil Engineering; Transportation

Recommended Citations

Citations

  • Maistros, A. R. (2015). A Multilevel Statistical Analysis of Impaired Driving Crashes and Law Enforcement Countermeasures [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1436798274

    APA Style (7th edition)

  • Maistros, Alexander. A Multilevel Statistical Analysis of Impaired Driving Crashes and Law Enforcement Countermeasures. 2015. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1436798274.

    MLA Style (8th edition)

  • Maistros, Alexander. "A Multilevel Statistical Analysis of Impaired Driving Crashes and Law Enforcement Countermeasures." Doctoral dissertation, University of Akron, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1436798274

    Chicago Manual of Style (17th edition)

akron1436798274
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© 2015, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.