Identifying Locations with High Rates of Alcohol Related Traffic Crashes in Ohio
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2012
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Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335885375 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-dayton13358853752021-08-03T05:35:56Z Identifying Locations with High Rates of Alcohol Related Traffic Crashes in Ohio Ponnada, Sowjanya VJ Civil Engineering ArcGIS Alcohol-Related High Crash Rates Counties with High Crash Rates RAIR RCR Quasive Exposure On average, every day in the United States 32 people die in motor vehicle crashes involving alcohol-impaired drivers. This is equivalent to one death every 45 minutes. The objectives of this study were three-fold: (1) to identify counties in the state of Ohio with relative high alcohol-related traffic crash rates; (2) to develop a visual presentation of results by using Geographic Information System (GIS on the Ohio map of counties); (3) to recommend areas or locations needing elevated and targeted alcohol-related driving reinforcement and educational efforts. Ohio traffic crash, number of population, number of registered vehicles, number of licensed drivers and average daily vehicle miles of travel data at the county level for 2007-2010 were used to analyze the alcohol-related traffic crash rates in counties. The results indicate that the most urbanized counties of Franklin, Cuyahoga, Hamilton, Summit, Montgomery, Lucas and their surrounding counties which are highly populated and also with high traffic volumes are the locations where most of the alcohol related traffic crashes occurred. The interesting results, however, were obtained from analysis of the risk of alcohol-related traffic crashes when the population and other exposure metrics were factored in order to determine the relative risk rates, which enable us to compare the counties fairly. Population density, daily vehicle miles of travel, the number of licensed drivers and the number of registered vehicles enabled us to capture counties with high risk rates. Generally, rural southern counties in the Appalachian areas and in the eastern parts of the state are the ones that appeared on the top of the list in almost all risk rate methods used in this study. In the northeastern area, the county of Ashtabula was the only county in that area which was ranked among the most risk counties in almost all the risk traffic crash rates methods used in this study. Counties that were highly ranked include Carroll, Harrison, Guernsey, Perry, Belmont, and Muskingum counties in the eastern part of the state and counties in the southern part highly ranked include Vinton, Ross, Pike, Adams, and Lawrence. 2012-05-11 English text University of Dayton / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335885375 http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335885375 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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language |
English |
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topic |
Civil Engineering ArcGIS Alcohol-Related High Crash Rates Counties with High Crash Rates RAIR RCR Quasive Exposure |
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Civil Engineering ArcGIS Alcohol-Related High Crash Rates Counties with High Crash Rates RAIR RCR Quasive Exposure Ponnada, Sowjanya VJ Identifying Locations with High Rates of Alcohol Related Traffic Crashes in Ohio |
author |
Ponnada, Sowjanya VJ |
author_facet |
Ponnada, Sowjanya VJ |
author_sort |
Ponnada, Sowjanya VJ |
title |
Identifying Locations with High Rates of Alcohol Related Traffic Crashes in Ohio |
title_short |
Identifying Locations with High Rates of Alcohol Related Traffic Crashes in Ohio |
title_full |
Identifying Locations with High Rates of Alcohol Related Traffic Crashes in Ohio |
title_fullStr |
Identifying Locations with High Rates of Alcohol Related Traffic Crashes in Ohio |
title_full_unstemmed |
Identifying Locations with High Rates of Alcohol Related Traffic Crashes in Ohio |
title_sort |
identifying locations with high rates of alcohol related traffic crashes in ohio |
publisher |
University of Dayton / OhioLINK |
publishDate |
2012 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335885375 |
work_keys_str_mv |
AT ponnadasowjanyavj identifyinglocationswithhighratesofalcoholrelatedtrafficcrashesinohio |
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