@article{ref1,
title="Evaluating influential factors on the duration of vehicle fire incidents using grey relational analysis",
journal="Journal of traffic and transportation engineering (Valley Cottage, NY)",
year="2017",
author="Zhang, Wenhui and Dai, Jing and Su, Yongmin and Miao, Qiqi and Guan, Feng and Gong, Zhiwei",
volume="5",
number="6",
pages="-",
abstract="The duration of vehicle fire incidents has been closely associated with incidents loss. Understanding the influential priority of factors is significant to take targeted countermeasures for the managements. Based on the database from WSDOT (Washington Department of Transportation) in USA, we analyze the probability distribution of the vehicle fire accidents' duration. Then we classify the influential factors into the first-grade factors including three categories: time, incident type, operation and the second-grade factors including eight categories: quarter, week and day time, etc. Then GRA (grey relational analysis) model is applied to calculate grey relational grades of the influential factors. The results show that the most important factor of the first-grade factors is incident type, vehicles involved and agencies involved are the major factors among the second-grade factors. KEYWORDSIncident duration, vehicle fire, influential factors, grey relational analysis.<p /><p>Language: en</p>",
language="en",
issn="2328-2142",
doi="10.17265/2328-2142/2017.06.002",
url="http://dx.doi.org/10.17265/2328-2142/2017.06.002"
}