Analysis of bus collision and non-collision incidents using transit ITS and other archived operations data.
BACKGROUND
This paper analyzes factors contributing to bus operations safety incidents at TriMet, the transit provider for the Portland Oregon metropolitan region.


METHODS
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.


RESULTS
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.


CONCLUSIONS
Potential for safety improvement based on analysis of archived operations and human resource data.
Strathman
James G
JG
Center for Urban Studies, Portland State University, P.O. Box 751, Portland, OR 97207, USA. strathmanj@pdx.edu
Wachana
Paul
P
Callas
Steve
S
D000062:Accidents, Occupational / Q000517:prevention & control / Q000706:statistics & numerical data*; D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data*; D000328:Adult; D016208:Databases, Factual; D005260:Female; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D018986:Motor Vehicles / Q000706:statistics & numerical data*; D009922:Oregon; D012044:Regression Analysis; D012307:Risk Factors; D014505:Urban Population