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Risk factors for driver distraction and inattention in tram drivers

conference contribution
posted on 06.12.2017, 00:00 by Anjum Naweed, Janette Rose, S Singh, D Kook
Abstract. Tram driving is a complex task requiring high levels of workload, route knowledge, and attention. Metropolitan tram networks typically contain many routes and share roads with other road users. Collision potential is highest at road intersections and areas where the track runs along the road with no segregation and when collisions occur they can cause serious injury and disruption. A study was conducted on an Australian tram network to identify collision risk factors. The approach included focus groups and discussions with 22 drivers, and observations at two high-risk locations. Data were coded thematically using a recently published taxonomy for driver distraction and inattention. The majority of factors fell into the Driver Cursory Attention category, with a large representation also in the Misprioritised and Neglected Attention categories and instances of Diverted Attention were mainly driving-related. Findings are discussed in terms of potential mitigation strategies and their implications for further refinements to driver distraction and inattention taxonomies.

Funding

Category 3 - Industry and Other Research Income

History

Parent Title

Applied Human Factors and Ergonomics : Proceedings of the 7th International Conference on Applied Human Factors and Ergonomics (AHFE 2016) and the Affiliated Conferences, July 27-31, Walt Disney World®, Florida, USA

Start Page

1

End Page

10

Number of Pages

10

Start Date

01/01/2016

Finish Date

01/01/2016

ISBN-13

9783319437644

Location

Orlando, USA

Publisher

Springer International Publishing

Place of Publication

Cham, Switzerland

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Appleton Institute for Behavioural Sciences; Keolis Downer Rail (Melbourne); School of Human, Health and Social Sciences (2013- );

Era Eligible

Yes

Name of Conference

International Conference on Applied Human Factors and Ergonomics

Usage metrics

CQUniversity

Keywords

Exports