Open AccessThe accident risk of motorcyclist perception and driving behaviour: a case study
Author(s) -
Listiani Nurul Huda,
Indah Puspa Sari Lubis
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/801/1/012074
Subject(s) - worry , risk perception , distraction , structural equation modeling , engineering , transport engineering , psychology , applied psychology , perception , forensic engineering , mathematics , statistics , neuroscience , anxiety , psychiatry
A traffic accident is an incident that is unexpected and involves a vehicle with or other road users resulting in human casualties or property losses. Accidents are caused by several factors including environmental factors, vehicle factors, and driver factors. Traffic police noted that in 2017 there were 91,371 traffic accidents caused by driver factors. Bad driving behaviour causes driving distraction which is an important risk factor in traffic accidents. This happens because the driver perceives a risk that is smaller than the actual risk. The purpose of this study was to see the existence of a significant relationship between risk perception and driving behaviour towards the risk of motorcycle accidents(H 0 ). Case study took place in Industrial Engineering Department, Faculty of Engineering, University of Sumatera Utara. Data were collected using research instruments in the form of driving behaviour questionnaires which consists of two indicators namely obedience and pride, risk perception questionnaires which consists of two indicators namely worry and social pressure, and traffic accident risk questionnaires which consists of three indicators namely declaration rate, respond to accident, and braking distance. Then a Structural Equation Model (SEM) was made. The results of the Structural Equation Model (SEM) show a significant relationship between risk perception and driving behaviour with a t-value of 1.98. This indicates that worry and social pressures have a significant direct effect on drivers’ behaviour.