Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Gregoire S. Larue; Andry Rakotonirainy; Narelle L. Haworth; Millie Darvell

doi:10.1016/j.trf.2015.02.003

Back

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Journal article

Open access

Peer reviewed

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings

Gregoire S. Larue, Andry Rakotonirainy, Narelle L. Haworth and Millie Darvell

Transportation Research. Part F, Traffic Psychology and Behaviour, Vol.30, pp.1-13

2015

DOI: https://doi.org/10.1016/j.trf.2015.02.003

Files and links (2)

pdf

Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings924.96 kBDownload View

Accepted VersionCC BY-NC-ND V4.0, Open Access

url

https://doi.org/10.1016/j.trf.2015.02.003View

Published Version

Abstract

Psychology

Psychology, Applied

Science & Technology

Social Sciences

Technology

Transportation

Intelligent Transport Systems (ITS) have the potential to substantially reduce the number of crashes caused by human errors at railway levels crossings. Such systems, however, will only exert an influence on driving behaviour if they are accepted by the driver. This study aimed at assessing driver acceptance of different ITS interventions designed to enhance driver behaviour at railway crossings. Fifty-eight participants, divided into three groups, took part in a driving simulator study in which three ITS devices were tested: an in-vehicle visual ITS, an in-vehicle audio ITS, and an on-road valet system. Driver acceptance of each ITS intervention was assessed in a questionnaire guided by the Technology Acceptance Model and the Theory of Planned Behaviour. Overall, results indicated that the strongest intentions to use the ITS devices belonged to participants exposed to the road-based valet system at passive crossings. The utility of both models in explaining drivers' intention to use the systems is discussed, with results showing greater support for the Theory of Planned Behaviour. Directions for future studies, along with strategies that target attitudes and subjective norms to increase drivers' behavioural intentions, are also discussed. (C) 2015 Elsevier Ltd. All rights reserved.

Details

Title: Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings
Authors: Gregoire S. Larue (Author) - Queensland University of Technology
Andry Rakotonirainy (Author) - Queensland University of Technology
Narelle L. Haworth (Author) - Queensland University of Technology
Millie Darvell (Author) - Queensland University of Technology
Publication details: Transportation Research. Part F, Traffic Psychology and Behaviour, Vol.30, pp.1-13; 13
Publisher: Elsevier Ltd
Date published: 2015
DOI: 10.1016/j.trf.2015.02.003
ISSN: 1873-5517; 1369-8478
Organisation Unit: Road Safety Research Collaboration; University of the Sunshine Coast, Queensland; School of Law and Society
Language: English
Record Identifier: 99648949802621
Output Type: Journal article

Metrics

184 File views/ downloads

70 Record Views

59 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Web Of Science research areas: Psychology, Applied; Transportation

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites