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

Author
ALI TAVAKOLI KASHANI1 ; RABIEYAN, Rahim1 ; MOHAMMAD MEHDI BESHARATI1
[1] School of Civil Engineering, Iran University of Science & Technology, Tehran, Iran, Islamic Republic of
Source

Journal of safety research. 2014, Vol 51, pp 93-98, 6 p ; ref : 1/4 p

ISSN
0022-4375
Scientific domain
Hygiene and public health, epidemiology, occupational medicine; Transportation
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Classification and regression trees Crash severity Motorcycle pillion passengers
Keyword (fr)
Classification Motocyclette Passager Régression Véhicule à moteur
Keyword (en)
Classification Motor cycle Passenger Regression Motor vehicle
Keyword (es)
Clasificación Motocicleta Pasajero Regresión Vehículo de motor
Classification
Pascal
002 Biological and medical sciences / 002B Medical sciences / 002B30 Public health. Hygiene-occupational medicine

Discipline
Public health. Hygiene-occupational medicine
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28938323

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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