@article{ref1,
title="Analyzing the severity of motorcycle crashes in North Carolina using highway safety information systems data",
journal="ITE journal",
year="2016",
author="Pour-Rouholamin, Mahdi and Jalayer, Mohammad",
volume="86",
number="10",
pages="45-49",
abstract="Injury severity data for motorcycle crashes in North Carolina are analyzed using the partial proportional odds model. Single-vehicle, single-rider data from the Highway Safety Information Systems (HSIS) are used in the analysis which aims to identify effective countermeasures. <br><br>FINDINGS indicate that in North Carolina, older motorcycle riders, DUI riders, speeders, reckless riders, and non-helmeted riders are more likely to have increased injury severity and safety education programs should focus on those groups. Agencies can use the methodology outlined as a cost effective way to set priorities for resource allocation.<p /> <p>Language: en</p>",
language="en",
issn="0162-8178",
doi="",
url="http://dx.doi.org/"
}