A data mining approach to investigate the factors influencing the crash severity of motorcycle pillion passengers

Journal of Safety Research

Volumn 51, Issue , 2014, Pages 93-98

  Tavakoli Kashani, Ali ^a   Rabieyan, Rahim ^a   Besharati, Mohammad Mehdi ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Classification and regression trees; Crash severity; Motorcycle pillion passengers

Indexed keywords

CLASSIFICATION AND REGRESSION TREE; CRASH SEVERITY;

AGE; DATA MINING; DEMOGRAPHY; FEMALE; HELMET; HUMAN; INJURY SCALE; IRAN; MORTALITY; MOTORCYCLE; REGRESSION ANALYSIS; RISK; RISK FACTOR; SEX DIFFERENCE; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; UTILIZATION; WEATHER; WOUNDS AND INJURIES;

ACCIDENTS, TRAFFIC; AGE FACTORS; DATA MINING; FEMALE; HEAD PROTECTIVE DEVICES; HUMANS; IRAN; MOTORCYCLES; REGRESSION ANALYSIS; RESIDENCE CHARACTERISTICS; RISK; RISK FACTORS; SEX FACTORS; TRAUMA SEVERITY INDICES; WEATHER; WOUNDS AND INJURIES;

EID: 84908398703     PISSN: 00224375     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsr.2014.09.004     Document Type: Article

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