Perceived risk vs actual driving performance during distracted driving: A comparative analysis of phone use and other secondary distractions |
| |
| Affiliation: | 1. Transportation Engineering Group, Department of Civil Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee 247667, India;2. Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Powai, Mumbai 400 076, India;1. Transport Research Centre Verne, Tampere University, FI-33014 Tampere, Finland;2. Monash University Accident Research Centre, Clayton, VIC 3800, Australia;1. Queensland University of Technology (QUT), Centre for Accident Research and Road Safety – Queensland (CARRS-Q), Queensland, Australia;2. Queensland University of Technology (QUT), Institute of Health and Biomedical Innovation (IHBI), Faculty of Health, Queensland, Australia;3. Queensland University of Technology (QUT), Civil Engineering and Built Environment, Science and Engineering Faculty, Queensland, Australia;4. Department of Industrial Engineering, Universidad del Norte, Barranquilla, Colombia;5. School of Civil Engineering, The University of Queensland, Queensland, Australia;1. Department of Marketing Logistics and Operations Management, G. Brint Ryan College of Business, University of North Texas, Denton, TX 76201, USA;2. Department of Management, Culverhouse College of Business, The University of Alabama, Tuscaloosa, AL 35487, USA;3. Willie A. Deese College of Business and Economics, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA;1. Centre for Accident Research & Road Safety–Queensland (CARRS-Q), Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia;2. Centre for Future Mobility, Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia;3. School of Psychology, The University of Queensland, St Lucia, QLD, Australia;4. School of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia;5. School of Public Health and Social Work, Faculty of Health, Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia;6. Psychology Department, Auckland University of Technology, Auckland, New Zealand;7. Department of Psychology, University of South Dakota, Vermillion, SD, USA;1. Civil Engineering Department, University of Bahrain, Isa Town, Bahrain;2. Civil and Environmental Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia;1. Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Institute for Health and Biomedical Innovation (IHBI), Queensland University of Technology, 130 Victoria Park Road, Kelvin Grove, QLD 4059, Australia;2. School of Civil and Environmental Engineering, Queensland University of Technology, 2 George Street, Brisbane City, QLD 4001, Australia |
| |
| Abstract: | The present study attempts to explore the association of drivers’ risk perception towards phone usage as well as other everyday distractions (operating a music player and eating during driving), and their driving performance observed during these distracted conditions. For this purpose, driving simulator experiments were conducted with 90 participants to collect their driving performance data and a questionnaire was conducted to obtain their basic details along with their risk perceptions. Firstly, the driving performance was divided into clusters using hierarchical clustering and the clustered subgroups were compared for crash and non-crash cases to identify the groups having significant performance degradation. Based on this comparison, the driving performance subgroups were then divided into the following crash risk probabilities: High risk, Moderate risk and Low risk. Further, the associations of perceived risk with these performance subgroups and other potential factors were analyzed using association rules mining technique. Most of the drivers (72.06%) reported texting as an extremely risky task. But, surprisingly none of them considered conversation as an extremely risky task. However, in case of conversation, it was found that even though the professional drivers reported the task to be not at all risky, the observed crash risk was high for them (S = 5.21%, C = 67.86%), indicating an underestimation of the associated risk by the drivers. Similarly, the results revealed that for music player and eating tasks, drivers reported the distracting tasks to be less risky, but, in some instances, their driving performance was associated with higher chances of crash occurrence. Many interesting associations of risk perception and driving performance with respect to demographic and driving characteristics were also obtained. The findings can be useful while designing the awareness programs related to distracted driving with an aim to reduce such practices. |
| |
| Keywords: | Distracted driving Risk perception Phone use Music player Eating Association rules mining |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
