Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings. (April 2015)

• Record Type: Journal Article
• Authors: Larue, Grégoire S.; Rakotonirainy, Andry; Haworth, Narelle L.; Darvell, Millie
• Is Part Of: Transportation research. Volume 30(2015)
• Page Start: 1
• Page End: 13
• Publication Date: 2015-04
• Subjects: Intelligent Transport Systems (ITS) -- Drivers -- Railway level crossings (RLXs) -- User acceptance -- Intentions; Automobile drivers -- Psychology -- Periodicals; Automobile driving -- Psychological aspects -- Periodicals; Transportation -- Psychological aspects -- Periodicals; 629.283019
• DOI: 10.1016/j.trf.2015.02.003
• Languages: English
• ISSNs: 1369-8478

Abstract

Highlights: Acceptance of Intelligent Transport Systems for railway level crossings is high. Intention to use road-based technologies is higher than in-vehicle ones. Theory of Planned Behaviour explains the intention to use such technology. Attitude and subjective norm have large effects on intention to use the technology. Abstract: 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.