Piranveyseh, Peyman, Kazemi, Reza, Soltanzadeh, Ahmad and Smith, Andrew ORCID: https://orcid.org/0000-0001-8805-8028 2022. A field study of mental workload: conventional bus drivers versus bus rapid transit drivers. Ergonomics 65 (6) , pp. 804-814. 10.1080/00140139.2021.1992021 |
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Abstract
Editing Services Awareness English-speaking Publish your Policy Brief rapidly today and inspire change for tomorrow. Banner advert for Australian Journal of Psychology, now open access Full Article Figures & data References Citations Metrics Reprints & Permissions Get access Abstract Road traffic accidents are increasing worldwide and cause a high number of fatalities and injuries. Mental Work Load (MWL) is a contributing factor in road safety. The primary aim of this work was to study important MWL factors and then compare conventional and BRT (Bus Rapid Transit) drivers' MWL. This study evaluated bus drivers' MWL using the Driving Activity Load Index (DALI) questionnaire conducted with 123 bus drivers in Tehran. The results revealed significant differences between conventional and BRT drivers' mental workload. Moreover, data modelling showed that some organisational and environmental factors such as bus type, working hours per day, road maze, and route traffic volume contribute to drivers' mental workload. These findings suggest some essential customised factors that may help measure and offer practical solutions for decreasing the level of bus drivers' MWL in real-world road driving. Practitioner summary Mental workload is affected by several contributing factors. Depending on the working context, some of these contributing factors have a more significant influence on the level of the experienced MWL. Therefore, the main factors influencing the MWL of BRT and conventional bus drivers were assessed in their real-life environment. Abbreviations: MWL: mental work load; BRT: bus rapid transit; CB: conventional bus; DALI: driving activity load index; NASA-TLX: NASA task load index; SWAT: subjective workload assessment technique; EEG: electroencephalography electrocardiogram; fNIRS: functional magnetic resonance imaging; ITS: intelligent transportation systems; AVL: automated vehicle location
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Psychology |
Publisher: | Taylor and Francis |
ISSN: | 0014-0139 |
Date of First Compliant Deposit: | 2 November 2021 |
Date of Acceptance: | 5 October 2021 |
Last Modified: | 06 Nov 2023 23:53 |
URI: | https://orca.cardiff.ac.uk/id/eprint/145243 |
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