ABSTRACT An observational study, focusing on motorcyclists, was conducted between June and August... more ABSTRACT An observational study, focusing on motorcyclists, was conducted between June and August 2012 at access points on straight road sections of primary roads in Malaysia. This was done in order to gain more insight into the actual road traffic situation at these sites. The majority of the motorcyclists kept to the speed limit and lowered speed when approaching an access point, especially when road users were on it. However, when the primary road traffic volume was high, they maintained higher speeds compared to other vehicles. The behavioral observations revealed a risky right turning movement, i.e. Opposite Indirect Right Turn (OIRT), from the access point into the primary road. Motorcyclists generally had a high compliance rate of helmet (except for female motorcyclists) and headlight usage. Motorcyclists attempting to enter the primary road were poor at utilizing the turning indicator. They were observed not to turn their heads to look for vehicles when entering a road with a low volume of traffic, compared to entering a road with a high volume of traffic. Most of the motorcyclists did not comply with the stop line rule, especially those who made the OIRT. Motorcyclists entering from the access point are involved in serious traffic conflicts to about the same extent as other vehicles. Moreover, motorcyclists who stopped at the stop line and made a right turn into the primary road by accepting a short gap, resulting in a time lag of less than 4 s, were involved in the majority of the serious conflicts.
This study uses a generalized linear model approach, i.e. negative binomial regression, to develo... more This study uses a generalized linear model approach, i.e. negative binomial regression, to develop a pre- dictive model for motorcycle fatal accidents on Malaysian primary roads. For the modeling process, a huge data inventory has been carried out, integrating the road geometry features, fatal accident records and traffic censuses from 3 selected states for the past 3-year period. The results show that motorcycle fatalities per kilometer on primary roads are statistically significantly affected by the average daily num- ber of motorcycles and the number of access points per kilometer. The model established for this study can also be regarded as the first motorcycle safety performance function in Malaysia and probably in Asia. Also noted in this study is the need to establish a proper and systematic road geometry and traffic census inventory in order to develop better accident prediction models for Malaysia in the future.
Malaysia has the highest road fatality risk (per 100,000 population) among the ASEAN countries an... more Malaysia has the highest road fatality risk (per 100,000 population) among the ASEAN countries and more than 50% of the road accident fatalities involve motorcyclists. This study has collected and analysed data from the police, government authorities, and national and international research institutes. Only fatality data are used due to the severe underreporting of severe injuries (up to 600%) and slight injuries (up to 1400%). The analysis reveals that the highest numbers of motorcycle fatalities occur in rural locations (61%), on primary roads (62%) and on straight road sections (66%). The majority are riders (89%), 16 to 20 years old (22.5%), and 90% of the motorcycles are privately owned. Of those involved in fatal accidents, 75% of the motorcyclists wear helmets, and 35% do not have proper licences. The highest number of fatalities by type of collision is ‘angular or side’ (27.5%). Although fatal motorcyclist crashes mostly involve ‘passenger cars’ (28%), motorcyclists are responsible for 50% of the collisions either by crashing singly (25%) or with other motorcyclists (25%). While male motorcyclists predominate (94% of fatalities), female motorcyclists aged 31 to 70, possessing ‘no licence’, not wearing helmets and travelling during the day, account for a higher percentage than male motorcyclists. Malaysia must acquire more motorcycle exposure data and establish an injury recording system and database based on hospital-records. To reduce motorcycle fatalities, it first has to understand why young male motorcyclists are prone to fatal crashes in the evenings and on weekends on rural primary roads, especially on straight road sections.
ABSTRACT An observational study, focusing on motorcyclists, was conducted between June and August... more ABSTRACT An observational study, focusing on motorcyclists, was conducted between June and August 2012 at access points on straight road sections of primary roads in Malaysia. This was done in order to gain more insight into the actual road traffic situation at these sites. The majority of the motorcyclists kept to the speed limit and lowered speed when approaching an access point, especially when road users were on it. However, when the primary road traffic volume was high, they maintained higher speeds compared to other vehicles. The behavioral observations revealed a risky right turning movement, i.e. Opposite Indirect Right Turn (OIRT), from the access point into the primary road. Motorcyclists generally had a high compliance rate of helmet (except for female motorcyclists) and headlight usage. Motorcyclists attempting to enter the primary road were poor at utilizing the turning indicator. They were observed not to turn their heads to look for vehicles when entering a road with a low volume of traffic, compared to entering a road with a high volume of traffic. Most of the motorcyclists did not comply with the stop line rule, especially those who made the OIRT. Motorcyclists entering from the access point are involved in serious traffic conflicts to about the same extent as other vehicles. Moreover, motorcyclists who stopped at the stop line and made a right turn into the primary road by accepting a short gap, resulting in a time lag of less than 4 s, were involved in the majority of the serious conflicts.
This study uses a generalized linear model approach, i.e. negative binomial regression, to develo... more This study uses a generalized linear model approach, i.e. negative binomial regression, to develop a pre- dictive model for motorcycle fatal accidents on Malaysian primary roads. For the modeling process, a huge data inventory has been carried out, integrating the road geometry features, fatal accident records and traffic censuses from 3 selected states for the past 3-year period. The results show that motorcycle fatalities per kilometer on primary roads are statistically significantly affected by the average daily num- ber of motorcycles and the number of access points per kilometer. The model established for this study can also be regarded as the first motorcycle safety performance function in Malaysia and probably in Asia. Also noted in this study is the need to establish a proper and systematic road geometry and traffic census inventory in order to develop better accident prediction models for Malaysia in the future.
Malaysia has the highest road fatality risk (per 100,000 population) among the ASEAN countries an... more Malaysia has the highest road fatality risk (per 100,000 population) among the ASEAN countries and more than 50% of the road accident fatalities involve motorcyclists. This study has collected and analysed data from the police, government authorities, and national and international research institutes. Only fatality data are used due to the severe underreporting of severe injuries (up to 600%) and slight injuries (up to 1400%). The analysis reveals that the highest numbers of motorcycle fatalities occur in rural locations (61%), on primary roads (62%) and on straight road sections (66%). The majority are riders (89%), 16 to 20 years old (22.5%), and 90% of the motorcycles are privately owned. Of those involved in fatal accidents, 75% of the motorcyclists wear helmets, and 35% do not have proper licences. The highest number of fatalities by type of collision is ‘angular or side’ (27.5%). Although fatal motorcyclist crashes mostly involve ‘passenger cars’ (28%), motorcyclists are responsible for 50% of the collisions either by crashing singly (25%) or with other motorcyclists (25%). While male motorcyclists predominate (94% of fatalities), female motorcyclists aged 31 to 70, possessing ‘no licence’, not wearing helmets and travelling during the day, account for a higher percentage than male motorcyclists. Malaysia must acquire more motorcycle exposure data and establish an injury recording system and database based on hospital-records. To reduce motorcycle fatalities, it first has to understand why young male motorcyclists are prone to fatal crashes in the evenings and on weekends on rural primary roads, especially on straight road sections.
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