01620090

Component

https://doi.org/10.3141/2647-01

As the importance of public transportation increases, the management of bus-involved crashes has become a crucial issue for traffic safety. However, there are relatively few studies on crash severity for buses in South Korea. This study investigated factors that influence the severity of injuries that occur in local bus crashes. The study used commercial vehicle crash data from a 5-year period from 2010 through 2014 in South Korea. To determine unobserved regional effects on crash severity, a hierarchical ordered model was applied to the analysis. Individual crash characteristics were set to lower-level variables, and regional characteristics were adopted as upper-level variables. At the lower level, the factors affecting severity of injuries included vehicle speed, vehicle age, road alignment, surface status, road class, and traffic light installation, as found in previous studies. At the upper level, the factors included pavement, emergent medical environment, traffic rate of compliance, and ratio of elderly in the community. There was a 5.1% unobserved variation between regions from the intraclass correlation analysis. The validity of a hierarchical model for local bus crashes was verified by applying the model to other long-distance buses, and it appeared there were no regional effects. This study found a regional effect for local bus crash severity, and thus this factor is important when developing prevention plans to reduce local bus crashes. These results contribute to the study of traffic safety.

01624542

17-01275

English

pp 1–8

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442121

Digital/other

Figures (2) ; References (32) ; Tables (6)

Bus crashes; Crash characteristics; Crash injuries; Crash severity; Highway safety; Injury severity; Mathematical models

Korea

Highways; Public Transportation; Safety and Human Factors

PRP, TRIS, TRB, ATRI

Dec 8 2016 10:24AM

• Calculating Optimal School Bus Routing and Its Impact on Safety and the Environment
• Calibration of the Platoon Dispersion Model by Considering the Impact of the Percentage of Buses at Signalized Intersections
• Comparing Chinese and Non-Chinese Bus Rapid Transit Systems: Evidence from Evaluating Global Systems on the Basis of Bus Rapid Transit Design Indicators
• Convex Fuel Consumption Model for Diesel and Hybrid Buses
• Decision-Making Framework to Allocate Real-Time Passenger Information Signs at Bus Stops: Model Application in Athens, Greece
• Designing Limited-Stop Transit Service with Fixed Fleet Size in Peak Hours by Exploiting Transit Data
• Does Combining Transit Signal Priority with Dedicated Bus Lanes or Queue Jump Lanes at Multiple Intersections Create Multiplier Effects?
• Estimating Ridership of Rural Demand–Response Transit Services for the General Public
• Identifying the Bias: Evaluating Effectiveness of Automatic Data Collection Methods in Estimating Details of Bus Dwell Time
• Measuring the Determinants of Bus Dwell Time: New Insights and Potential Biases
• Modeling Bus Service Time for a Curbside Stop
• Optimal Deployment of Dynamic Wireless Charging Facilities for an Electric Bus System
• Real-Time Bus-Holding Control Strategy to Reduce Passenger Waiting Time
• Real-Time Public Transport Operations: Library of Control Strategies
• San Pablo, California, Corridor Rapid Service: Planning and 10 Years of Operational Experience
• South Eastern Busway Network in Brisbane, Australia: Value of the Network Effect