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My revised thesis - Hesham Razzaghi__final format approved LW 4-26-17.pdf (1.3 MB)
ETD Abstract Container
Abstract Header
Spatial Analysis of Alcohol-related Injury and Fatal Traffic Crashes in Ohio
Author Info
Razzaghi, Hesham M.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1493979849390008
Abstract Details
Year and Degree
2017, Master of Science (M.S.), University of Dayton, Civil Engineering.
Abstract
Traffic crashes are considered alcohol-related if blood alcohol concentration (BAC) of a driver or non-motorist is 0.08 grams per deciliter (g/dl) or above. This thesis analyzed various socioeconomic factors that may influence alcohol-related fatal and injury crashes in Ohio at the county level in order to determine counties that may need heightened attention in terms of enforcement and education campaigns. This study used three years of Ohio traffic crash data at the county level from 2012 to 2014 obtained from the Ohio Department of Public Safety (ODPS). The objective of this study was to explore the use of an Ordinary Least Squares (OLS) regression method in identifying factors affecting alcohol-related fatal and injury crashes in Ohio at the county level. This study was done by using Geographic Information System (GIS) in order to utilize its spatial capabilities. The model of alcohol-related fatal and injury traffic crashes was initially built with 15 independent variables that may affect alcohol-related traffic crashes such as population density and household income. The variables were divided into four groups namely crash response variables, road network variables, traffic variables, and socio-demographic variables. The Moran’s I index for residuals was almost equal to zero demonstrating that there was little evidence of any autocorrelation between each other, then OLS model was deemed adequate in modeling the data used in the this study. After removing highly correlated variables, only four variables were found to be significantly affect the rates of alcohol-related traffic crashes at the county level at a 90% confidence level. The variables found significant include percent of males in the population in the county, percent of trucks in the vehicles registered in the county, percent of licensed drivers per population in the county, and elevation range in the county.
Committee
Deogratias Eustace (Advisor)
Pages
106 p.
Subject Headings
Civil Engineering
Keywords
Spatial Analysis, Alcohol-related Traffic Crashes and Ordinary Least Squares
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Refworks
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Citations
Razzaghi, H. M. (2017).
Spatial Analysis of Alcohol-related Injury and Fatal Traffic Crashes in Ohio
[Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1493979849390008
APA Style (7th edition)
Razzaghi, Hesham.
Spatial Analysis of Alcohol-related Injury and Fatal Traffic Crashes in Ohio.
2017. University of Dayton, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1493979849390008.
MLA Style (8th edition)
Razzaghi, Hesham. "Spatial Analysis of Alcohol-related Injury and Fatal Traffic Crashes in Ohio." Master's thesis, University of Dayton, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1493979849390008
Chicago Manual of Style (17th edition)
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Document number:
dayton1493979849390008
Download Count:
700
Copyright Info
© 2017, some rights reserved.
Spatial Analysis of Alcohol-related Injury and Fatal Traffic Crashes in Ohio by Hesham M. Razzaghi is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Dayton and OhioLINK.