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                             Identification of Factors Related to Motorcycle Accident Severity in Tanintharyi Region
                                                                   Nyein Nwe Nwe Naing#1, Khine Zar Aung#2
                                                Department of Civil Engineering, West Yangon Technological University
                                                                      Yangon, Republic of the Union of Myanmar
                                                                            1 [email protected]
ABSTRACT
In Tanintharyi region, motorcycle plays a dominant role and there have been increasing motorcycle accidents. Motorcycle accidents and the associated unpleasant consequences are on the rise and at such an alarming rate in this region. The purpose of this research is to identify factors related to motorcycle accident severity in Tanintharyi region. Analysis using ordered probit regression was performed on crash data from 2013 to 2017 for five years. The required data are obtained from Myanmar Police Force and Road Transport Administration Department. In model building part of the methodology, dependent and independent variables are involved. Dependent variables are level of crash severity and independent variables are the factors affecting accident severity. Result from the modelling show the driver, motorcyclists with no helmet use, age group of 30 to 60 years motorcyclists, speeding, presence of alcohol among motorcycle rider, against traffic flow and night time factors contributed to increase severity of motorcyclists involved in crash.
Keywords─ Motorcycle Accident, Tanintharyi Region, Data Analysis, Ordered Probit Model, Crash Severity