Promoting safe transit: analyzing bus accident patterns

Prato, Carlo Giacomo and Kaplan, Sigal (2012). Promoting safe transit: analyzing bus accident patterns. In Carlo Giacomo Prato (Ed.), Accidents: risk factors, health outcomes and safety measures (pp. 1-17) Hauppauge, NY, United States: Nova Science Publishers.

Author Prato, Carlo Giacomo
Kaplan, Sigal
Title of chapter Promoting safe transit: analyzing bus accident patterns
Title of book Accidents: risk factors, health outcomes and safety measures
Place of Publication Hauppauge, NY, United States
Publisher Nova Science Publishers
Publication Year 2012
Sub-type Research book chapter (original research)
Open Access Status Not Open Access
Year available 2012
ISBN 9781622570102
Editor Carlo Giacomo Prato
Chapter number 1
Start page 1
End page 17
Total pages 17
Total chapters 13
Language eng
Abstract/Summary Accident taxonomy is widely used by researchers and practitioners worldwide as a tool for understanding accident risks and designing effective policy measures to mitigate these risks. Interestingly, despite the usefulness of accident taxonomy for identifying accident risks and the growing interest in improving bus safety operations, information regarding the taxonomy of bus accidents is scarce. The current study provides a holistic perspective of the risk-factors underlying bus accidents by identifying prevailing bus accident typologies and evaluating their severity in the United States.In order to identify bus crash clusters based on their features, data from the General Estimates System (GES) crash database are clustered by means of a two-stage clustering method, consisting of self-organizing maps (SOM) followed by neural gas, Bayesian classification and unified distance matrix edge analysis. A multi-layer perceptron (MLP) neural network was employed to confirm the correctness and usefulness of the SOM-based clustering process.Five clusters are identified: (i) multi-vehicle collisions at intersections: vehicle encroaching or travelling; (ii) multi-vehicle collisions with school bus at intersection: distracted drivers; (iii) multi-vehicle collisions in road sections: infrastructure and traffic; (iv) single-vehicle bus accidents off-road: bus travelling and bus driver distraction at low speeds; (v) single-vehicle collisions with non-motorists: pedestrian and cyclists. The analysis points out conflicts among buses and other road users and indicates possible cluster-driven directions towards enhancing bus safety.
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Book Chapter
Collection: School of Social Science Publications
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Created: Thu, 14 Apr 2016, 09:01:27 EST by Anthony Yeates on behalf of Learning and Research Services (UQ Library)