Identifying the Most Important Factors in the At-Fault Probability of Motorcyclists by Data Mining, Based on Classification Tree Models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
http://link.springer.com/article/10.1007/s40999-017-0180-0/fulltext.html
Reference26 articles.
1. Vlahogianni EI, Yannis G, Golias JC (2012) Overview of critical risk factors in Power-Two-Wheeler safety. Accid Anal Prev 49:12–22
2. Haque MM, Chin HC, Huang H (2009) Modeling fault among motorcyclists involved in crashes. Accid Anal Prev 41(2):327–335
3. Lardelli-Claret P et al (2005) Driver dependent factors and the risk of causing a collision for two wheeled motor vehicles. Inj Prev 11(4):225–231
4. Chang HL, Yeh TH (2007) Motorcyclist accident involvement by age, gender, and risky behaviors in Taipei, Taiwan. Transp Res Part F Traffic Psychol Behav 10(2):109–122
5. Perez-Fuster P et al (2013) Modeling offenses among motorcyclists involved in crashes in Spain. Accid Anal Prev 56(0):95–102
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