Lumba, Pada and Muthohar, Imam and Priyanto, Sigit (2017) Human Factors on Motorcyclists’ Accidents Severity; Analysis Using Bayesian Network. International Journal of Engineering and Technology (IJET), 9 (1). pp. 233-242. ISSN 0975-4024
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Abstract
This research focuses on the probability of accidents with severely and mildly injuries in motorcyclists. The probability of accidents took human factors only into consideration. 70.93% accidents that occured from July 1, 2015 until December 31, 2015 throughout Indonesia involved motorcycles. The research took place in Bekasi City, Indonesia. The samples comprised of 105 respondents who had experienced accidents, which were caused by human factors only. The results indicated that the probability of severely injuries accidents was 20%, while mildly injuries amounted to 80%. The accuracy calculation model employed new data from 24 respondents. The accuracy calculation model indicated that the Mean Absolute Deviation (MAD) was 21.29%. The model scenarios indicated that female drivers were more prone to severely injuries than men. The age group of 20 years and above had a greater probability to suffer severely injuries compared to the age group of 20 years and below. Reckless drivers were 30% more likely to suffer from severely injuries. Drivers who drove at < 50 km/h and at speed 50-70 km/h were 20% more likely to experience accidents with severely injuries, and at > 70 km/h it reaches 23%.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Fakultas Teknik > Teknik Sipil |
| Depositing User: | Dr Pada Lumba |
| Date Deposited: | 01 Sep 2022 06:39 |
| Last Modified: | 01 Sep 2022 06:39 |
| URI: | http://repository.upp.ac.id/id/eprint/1275 |
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