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Bus accident analysis of routes with/without bus priority
Kelvin Chun Keong Goh1, Graham Currie1, Majid Sarvi1
1Department of Civil Engineering, Building 60, Monash University, Clayton, VIC 3800, Australia.
Accident; Analysis and Prevention
|January 11, 2014
Summary
Bus priority measures significantly reduce bus-involved accidents in Melbourne, improving road safety. This suggests bus priority schemes are crucial for road management agencies.
Area of Science:
- Transportation Engineering
- Traffic Safety Research
Background:
- Road safety and bus-involved accidents are critical concerns in urban environments.
- Bus priority measures are implemented to improve public transport efficiency and potentially safety.
Purpose of the Study:
- To evaluate the road safety performance and impact of bus priority measures on bus-involved accidents in Melbourne.
- To analyze accident types and quantify safety benefits associated with bus priority.
Main Methods:
- Empirical analysis of accident data on roads with bus priority measures.
- Application of mixed-effects negative binomial (MENB) regression and back-propagation neural network (BPNN) modelling.
- Sensitivity analyses to compare model predictions and validate findings.
Main Results:
- Significant reduction in accidents involving buses hitting stationary objects and vehicles.
- Demonstrated significant safety benefits of bus priority through statistical modelling.
- MENB model showed slightly better performance in predicting accident counts.
Conclusions:
- Bus priority measures in Melbourne effectively improve road safety by addressing bus manoeuvrability issues.
- Bus priority should be a key consideration for road management agencies when planning urban road schemes.
- Mixed-effects modelling approaches are beneficial for accident prediction due to their ability to handle complex factors.
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