Highlights The study explored the difference in mobile phone use while driving across the time of day. The impact of roadway design, traffic operation, and traffic control were different across morning, evening, and off-peak, investigated by structural equation modeling (SEM) in a naturalistic and big data environment. High roadway design level increased the participation of mobile phone use while driving in the morning peak. Strong traffic control encouraged drivers to engage in mobile phone use while driving.

    Abstract Mobile phone distracted driving (MPDD) is one of the most significant and common factors in distraction-affected crashes. In previous studies, MPDD has been described as a self-selected behavior that affects driving performance, rather than a multidimensionally impacted behavior. In this study, the researchers hypothesized that external environmental features significantly impacted MPDD and tested this hypothesis by structural equation modeling (SEM). Three external latent variables (road, operation, and control factors) were measured at different times during weekdays in urban areas of Texas by integrating a large number of mobile phone sensor data and roadway inventory data. A structural model was developed to test the relationship between the latent variables and the rate of drivers involved in MPDD (MPDDR) on the roadway during different time periods. Finally, the data summary and model results revealed significant temporal effects. Standardized estimates from the SEM results revealed the positive impact of roads factors in the morning peak that broader shoulders, wider medians, and smaller curve radians were correlated with higher MPDDR in the morning peak hours; the negative impact of operation factors that higher average annual daily truck traffic (truck AADT) were associated with lower MPDDR significantly. And the impact of control factors on MPDDR is positive. In other words, the road segments with a large number of traffic signals in urban areas had a higher MPDDR than those without traffic signals. These findings could assist transportation and legislation agencies in the development of appropriate countermeasures or enforcement tactics and implement them effectively to reduce the occurrence of MPDD. In addition, this study provides a novel perspective close to the actual consideration of drivers about using mobile phones while driving, in the context of MPDD research, rather than comparing driver groups and vehicle performance.


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    Title :

    Investigating the impact of environmental and temporal features on mobile phone distracted driving behavior using phone use data


    Contributors:
    Peng, Yongxin (author) / Song, Guohua (author) / Guo, Manze (author) / Wu, Lingtao (author) / Yu, Lei (author)


    Publication date :

    2022-12-03




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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