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  1. Yangon University of Economics
  1. Yangon University of Economics
  2. M.Econ(Statistics)

Analysis of Pedestrian Crash Severity on Contributing Factors in Insein Township (Htet Htet Htay, 2021)

https://meral.edu.mm/records/8154
https://meral.edu.mm/records/8154
7a861f51-652d-4884-b712-91570674fc07
ce392c7b-36a4-4aca-beeb-ae1d4d2f135e
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Title
Title Analysis of Pedestrian Crash Severity on Contributing Factors in Insein Township (Htet Htet Htay, 2021)
Language en
Publication date 2021-01-01
Authors
Htet Htet Htay
Description
This study intended to investigate the impact of contributing factors influencing
the pedestrian-vehicle crash severity. Data were collected from the pedestrian-vehicle
crash records from traffic accident records of No (2) Office of Traffic Police (Yangon),
covering the year 2015 to 2019. Descriptive statistics and multinomial logit model were
applied in this study. By the descriptive analysis, 24 percent of pedestrians were fatal,
26 percent were serious injury and 50 percent were non-serious injury. According to
the results of multinomial logistic regression analysis, the contributing factors such as
pedestrian gender, age and mode, driver driving behavior, location type, crash partner
and time of collision were affected to the pedestrian- vehicle crash severity. According
to pedestrian gender, male pedestrians were more likely to be fatal rather than female
pedestrians. The old pedestrians over 50 years were more likely to be serious injury and
middle age pedestrians between 25 and 50 years old were likely to be non-serious
injury. Based on the result of pedestrian mode, crossing mode were more likely to be
serious injury rather than the other modes. The reckless, speeding and inexperience
driving of drivers were likely to be non-serious injury while the other or unknown
driving behaviors might affect the fatal severity of pedestrians. Moreover, pedestrians
were more likely to be fatal at non-junction location type rather than junction. By the
result of crash partner, car and motorcycle were likely to be non-serious injury than the
other or unknown vehicles. By the result of time of collision, pedestrians were suffered
serious injury at the other off peak times although they were more likely to be nonserious injury at AM peak
Thesis/dissertations
Yangon University of Economics
Daw Aye Aye Phyu
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