Determination of risk factors associated with severity level of motorcycle–passenger car crashes
This study involves hospital-based on-the-spot (OTS) investigation on motorcyclepassenger car crashes with the aims to determine the risk factors involved in these crashes in which had represented approximately 38% of overall fatal motorcycle crashes in Malaysia. Standby period was performed in t...
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my-upm-ir.776502022-01-25T07:08:40Z Determination of risk factors associated with severity level of motorcycle–passenger car crashes 2019-03 Zainal Abidin, Ahmad Noor Syukri This study involves hospital-based on-the-spot (OTS) investigation on motorcyclepassenger car crashes with the aims to determine the risk factors involved in these crashes in which had represented approximately 38% of overall fatal motorcycle crashes in Malaysia. Standby period was performed in three 8-hour shifts in weekly alternate basis to ensure randomness of the investigated cases and to provide 24-hour coverage in order to represent the entire crash population. 55 crashes fulfilling the pre-determined criteria were investigated during one year data collection period in Kajang area. The crashes were reconstructed, analysed and injury details were coded according to Abbreviated Injury Scale (AIS). Morning crashes were 4.7 times more likely to occur during weekdays while night crashes had 6.1 times higher likelihood of occurrence during weekends. Male riders and riders aged >25 years old were found to be dominant (89.1% and 63.6% respectively), mostly as single riders (87.3%). Passenger cars were more often at fault (61.8%) as compared to motorcycles. However, no significance difference in impact speeds was found for different types of crash partners (p>0.05). 54.5% of the crashes involved situations whereby both vehicles were travelling in same direction, with one turning and the three most dominant crash classifications involved crashes at intersections. Side impacts were the highest crash configurations (40%) and 3.75 times more likely to result in riders suffering MAIS>3 injuries. 58% of the side impact crashes involved small angular side impacts and 61% involving motorcycles impacting the passenger cars. MAIS>3 injuries had an increasing trend with the increase of motorcycle travelling speed. Motorcycle travelling speed <15 km/h had 12.5 times higher likelihood to result in riders MAIS<2 injuries while lower extremities were the most injured body region sustained by riders (31 %). In regards to passenger car components, front tires were identified as the most damaged component caused by impacts from the motorcycles (21.8%), followed by front fenders and front bumpers (20% each). Moreover, MAIS3 injuries were most dominant when passenger cars’ front fenders and front bumpers were damaged (45.5% and 41.7%, respectively). ii The developed injury severity model has found that motorcycle impact speed, maximum wheel deformation and crash participant at fault status were significant predictors in predicting riders suffering MAIS>3 injuries. Riders were found to have a 1.5 likelihood increase in sustaining MAIS>3 injuries for every increase in impact speed and 23 times higher likelihood when passenger car was at fault. Meanwhile the injury type model concludes that motorcycle wheelbase deformation and crash participant at fault status were significant to predict riders lower extremity injuries. Riders were 4.8 times having the risk of suffering such injuries when crash partner was at fault and 1.02 times more likely to suffer such injuries with every decrease in wheelbase deformation. In conclusion, the study has presented meaningful information on evaluating risk factors and understanding the characteristics of motorcycle–passenger car crashes using real world data. It has also established introductory data on motorcycle riders’ injuries severity for future improvement of motorcycle safety, specifically in crashes with passenger cars. Crash injuries Traffic accidents Automobiles - Safety appliances 2019-03 Thesis http://psasir.upm.edu.my/id/eprint/77650/ http://psasir.upm.edu.my/id/eprint/77650/1/FK%202019%2033%20ir.pdf text en public masters Universiti Putra Malaysia Crash injuries Traffic accidents Automobiles - Safety appliances Abdul Jalil, Nawal Aswan |
| institution |
Universiti Putra Malaysia |
| collection |
PSAS Institutional Repository |
| language |
English |
| advisor |
Abdul Jalil, Nawal Aswan |
| topic |
Crash injuries Traffic accidents Automobiles - Safety appliances |
| spellingShingle |
Crash injuries Traffic accidents Automobiles - Safety appliances Zainal Abidin, Ahmad Noor Syukri Determination of risk factors associated with severity level of motorcycle–passenger car crashes |
| description |
This study involves hospital-based on-the-spot (OTS) investigation on motorcyclepassenger
car crashes with the aims to determine the risk factors involved in these
crashes in which had represented approximately 38% of overall fatal motorcycle
crashes in Malaysia. Standby period was performed in three 8-hour shifts in weekly
alternate basis to ensure randomness of the investigated cases and to provide 24-hour
coverage in order to represent the entire crash population. 55 crashes fulfilling the
pre-determined criteria were investigated during one year data collection period in
Kajang area. The crashes were reconstructed, analysed and injury details were coded
according to Abbreviated Injury Scale (AIS). Morning crashes were 4.7 times more
likely to occur during weekdays while night crashes had 6.1 times higher likelihood
of occurrence during weekends. Male riders and riders aged >25 years old were
found to be dominant (89.1% and 63.6% respectively), mostly as single riders
(87.3%). Passenger cars were more often at fault (61.8%) as compared to
motorcycles. However, no significance difference in impact speeds was found for
different types of crash partners (p>0.05). 54.5% of the crashes involved situations
whereby both vehicles were travelling in same direction, with one turning and the
three most dominant crash classifications involved crashes at intersections. Side
impacts were the highest crash configurations (40%) and 3.75 times more likely to
result in riders suffering MAIS>3 injuries. 58% of the side impact crashes involved
small angular side impacts and 61% involving motorcycles impacting the passenger
cars. MAIS>3 injuries had an increasing trend with the increase of motorcycle
travelling speed. Motorcycle travelling speed <15 km/h had 12.5 times higher
likelihood to result in riders MAIS<2 injuries while lower extremities were the most
injured body region sustained by riders (31 %). In regards to passenger car
components, front tires were identified as the most damaged component caused by
impacts from the motorcycles (21.8%), followed by front fenders and front bumpers
(20% each). Moreover, MAIS3 injuries were most dominant when passenger cars’
front fenders and front bumpers were damaged (45.5% and 41.7%, respectively).
ii
The developed injury severity model has found that motorcycle impact speed,
maximum wheel deformation and crash participant at fault status were significant
predictors in predicting riders suffering MAIS>3 injuries. Riders were found to have
a 1.5 likelihood increase in sustaining MAIS>3 injuries for every increase in impact
speed and 23 times higher likelihood when passenger car was at fault. Meanwhile
the injury type model concludes that motorcycle wheelbase deformation and crash
participant at fault status were significant to predict riders lower extremity injuries.
Riders were 4.8 times having the risk of suffering such injuries when crash partner
was at fault and 1.02 times more likely to suffer such injuries with every decrease in
wheelbase deformation. In conclusion, the study has presented meaningful
information on evaluating risk factors and understanding the characteristics of
motorcycle–passenger car crashes using real world data. It has also established
introductory data on motorcycle riders’ injuries severity for future improvement of
motorcycle safety, specifically in crashes with passenger cars. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Zainal Abidin, Ahmad Noor Syukri |
| author_facet |
Zainal Abidin, Ahmad Noor Syukri |
| author_sort |
Zainal Abidin, Ahmad Noor Syukri |
| title |
Determination of risk factors associated with severity level of motorcycle–passenger car crashes |
| title_short |
Determination of risk factors associated with severity level of motorcycle–passenger car crashes |
| title_full |
Determination of risk factors associated with severity level of motorcycle–passenger car crashes |
| title_fullStr |
Determination of risk factors associated with severity level of motorcycle–passenger car crashes |
| title_full_unstemmed |
Determination of risk factors associated with severity level of motorcycle–passenger car crashes |
| title_sort |
determination of risk factors associated with severity level of motorcycle–passenger car crashes |
| granting_institution |
Universiti Putra Malaysia |
| publishDate |
2019 |
| url |
http://psasir.upm.edu.my/id/eprint/77650/1/FK%202019%2033%20ir.pdf |
| _version_ |
1747813243337834496 |