A paper titled “Which factors lead to driving errors? A structural equation model analysis through a driving simulator experiment” authored by Panagiotis Papantoniou, George Yannis and Eleni Christofa is published in Journal of IATSS. Data were obtained from a driving simulation experiment in which 95 participants covering all ages were asked to drive under different types of distraction (no distraction, conversation with passenger, cell phone use) in rural and urban road environment, as well as in both low and high traffic conditions. Structural Equation Models were developed and the driving error was modeled as a latent variable based on several individual driving simulator parameters. The results of this complex model reveal that the impact of driver characteristics and area type are the only statistically significant factors affecting the probability of driving errors. Interestingly, neither conversing with a passenger nor talking on the cell phone have a statistically significant impact on driving error behaviour which highlights the importance of the present analysis and more specifically the development of a measure that represents overall driving error behaviour instead of individual driving errors variables.
Which factors lead to driving errors? A structural equation model analysis through a driving simulator experiment, April 2019
Related Posts
-
World Bank/GRSF – Improving Road Traffic Injury Statistics in Low- and Middle-Income Countries, 2023
April 14th, 2024 | Comments Off on World Bank/GRSF – Improving Road Traffic Injury Statistics in Low- and Middle-Income Countries, 2023 -
World Bank/GRSF – Estimating the Disability Burden of Road Traffic Injuries, 2023
April 14th, 2024 | Comments Off on World Bank/GRSF – Estimating the Disability Burden of Road Traffic Injuries, 2023 -
Dimitrios Nikolaou PhD – Machine Learning-based Road Crash Risk Assessment, March 2024
April 9th, 2024 | Comments Off on Dimitrios Nikolaou PhD – Machine Learning-based Road Crash Risk Assessment, March 2024