Evaluating Influential Factors on the Duration of Vehicle Fire Incidents Using Grey Relational Analysis

Abstract

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.

Exploring Human-Error Factors Contributing to Motorcycle Accidents in Hanoi City Using Grey Relational Analysis

“…Zeng et al (2013) [23] proposed an improved GRA model to examine the correlation between five typical traffic accidents (rollover, side collision, co-current collision, rear-end collision, and hitting into fixed things) and the overall traffic accidents in Hubei Province of China. Zhang et al (2017) [24] applied the GRA model to calculate grey relation degrees of the influential factors in vehicle fire incidents. Liu et al (2017) [25] used the GRA model to determine the weights of the evaluation indicators in an evaluation system of traffic accident risk in China provinces using a fuzzy comprehensive method.…”