Analysis of bus collision and non-collision incidents using transit ITS and other archived operations data

This paper analyzes factors contributing to bus operations safety incidents at TriMet, the transit provider for the Portland Oregon metropolitan region. The analysis focuses on 4,631 collision and non-collision incidents that occurred between 2006 and 2009. Empirical analysis of these incidents draw...

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Bibliographic Details
Published in:Journal of safety research 2010-04, Vol.41 (2), p.137-144
Main Authors: Strathman, James G., Wachana, Paul, Callas, Steve
Format: Article
Language:English
Subjects:
Accidents, Occupational - prevention & control
Accidents, Occupational - statistics & numerical data
Accidents, Traffic - prevention & control
Accidents, Traffic - statistics & numerical data
Adult
Archives & records
Buses
Collisions
Data analysis
Databases, Factual
Discriminant analysis
Fatigue
Female
Humans
Incidence
Male
Middle Aged
Motor Vehicles - statistics & numerical data
Operators
Oregon
Regression Analysis
Risk Factors
Safety
Traffic accidents & safety
Transit
Urban Population
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Summary:This paper analyzes factors contributing to bus operations safety incidents at TriMet, the transit provider for the Portland Oregon metropolitan region. The analysis focuses on 4,631 collision and non-collision incidents that occurred between 2006 and 2009. Empirical analysis of these incidents draws on a wide array of operator-level data recovered by transit ITS technologies in combination with information from TriMet's human resources, scheduling, and customer relations databases. Incident frequencies are estimated in relation to operators' demographic characteristics, employment status, assigned work characteristics, service delivery and performance indicators, temporal factors, and customer information. Apart from identifying factors that are empirically related to the frequency of safety incidents, the findings offer insights into operations policies and practices that hold promise for improving safety. Potential for safety improvement based on analysis of archived operations and human resource data.
ISSN:0022-4375
1879-1247
DOI:10.1016/j.jsr.2010.02.003