Faculty of Engineering

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Subject: search.filters.subject.Crash data analysis

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    PublicationOpen Access
    Characteristics of Motorcycle Crashes
    (KDU IRC 2015, 2015-11) Amarasingha, N
    Motorcycles are popular in Asian countries including Sri Lanka and it is becoming an important part of transportation in the country. Despite its popularity, little research has been conducted to study the impact of motorcycles on road safety in Sri Lanka. The objective of this study was to investigate the risk factors of crashes involving motorcycles. Data was obtained from Police crash records which contain details of police-reported crashes, at all severity levels that occurred in Sri Lanka. Various characteristics such as environment, roadway, driver, and vehicle are analysed investigating the Oddsratios so that potential countermeasures can be developed to improve roadside safety. Motorcycle crashes are rapidly increased in Sri Lanka last five years. More frequent crash conditions for motorcycle crashes occurred while driving on rural roadways, driving during week days in heavy traffic, and driving newer motorcycles. Dry road surfaces, clear weather conditions predominantly characterized motorcycle-crashes. This study adds detailed information about characteristics of motorcycle crashes and measures to improve motorcycle safety in Sri Lanka to the transportation safety literature.
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    PublicationEmbargo
    Gender differences of young drivers on injury severity outcome of highway crashes
    (Pergamon, 2014-06-01) Amarasingha, N; Dissanayake, S
    Problem: Gender differences of young drivers involved in crashes and the associated differences in risk factors have not been fully explored in the United States (U.S.). Accordingly, this study investigated the topic, where the odds ratios (ORs) were used to identify differences in crash involvements between male and female young drivers. Method: Logistic regression models for injury severity of young male drivers and young female drivers were developed. Different driver, environmental, vehicle, and road related factors that have affected young fe- male drivers' and young male drivers' crash involvements were identified using the models. Results: Results in- dicated that some variables are significantly related to female drivers' injury risk but not male drivers' injury risk and vice versa. Variables such as driving with valid licenses, driving on weekends, avoidance or slow maneu- vers at time of crash, non-collision and overturn crashes, and collision with a pedestrian were significant vari- ables in female driver injury severity model but not in young male driver severity model. Travel on graded roadways, concrete surfaces, and wet road surfaces, collision with another vehicle, and rear-end collisions were variables that were significant in male-driver severity model but not in female-driver severity model. Summary: Factors which increase young female drivers' injury severity and young male drivers' injury severity were identified. This study adds detailed information about gender differences and similarities in injury severity risk of young drivers. Practical applications: It is important to note that the findings of this study show that gender differences do exists among young drivers. This sends a message to the industry that the transportation profes- sionals and researchers, who are developing countermeasures to increase the traffic safety, may need to pay attention to the differences. This might be particularly true when developing education materials for driver train- ing for young/inexperienced drivers