China Safety Science Journal ›› 2021, Vol. 31 ›› Issue (11): 39-46.doi: 10.16265/j.cnki.issn 1003-3033.2021.11.006

• Safety social science and safety management • Previous Articles     Next Articles

Design of driving distraction behavior scale and analysis of influencing factors

ZHANG Lei1, PENG Jinshuan1, CHEN Xiaoli1,2   

  1. 1 School of Traffic &Transportation, Chongqing Jiaotong University, Chongqing 400074, China;
    2 Research and Development Center of Transport Industry of Self-driving Technology, China Merchants Chongqing Communications Research & Design Institute Co., Ltd., Chongqing 400067, China
  • Received:2021-08-09 Revised:2021-10-15 Online:2021-11-28 Published:2022-05-28

Abstract: In order to reveal psychological mechanism of drivers' distraction behavior, firstly, initial driving distraction scale was designed according to TPB. Then, a questionnaire survey was carried out in Chongqing, and data of 321 collected scales were analyzed by descriptive statistics. Finally, six principal influencing factors of driving distraction attitude, perceptual behavior control, subjective norm, attention characteristic, demographic information and driving information were classified and defined as exogenous latent variables, while frequency of distraction was taken as endogenous one, and a SEM was established. Model path was optimized according to modification indexes (MI) and critical ratio (CR), relevant assumptions concerning influence of six exogenous latent variables on distraction behavior were experimented, and significant influencing paths were extracted. The results show that the most significant exogenous latent variable that distracts driving is drivers' subjective norm, with a corresponding path coefficient of 0.650. Perceptual behavior control, driving distraction attitude and demographic information exert less influence, with their coefficients being 0.152, 0.134 and 0.113 respectively. Moreover, influence of attention characteristics and driving information on distraction behavior is not significant.

Key words: driving distraction behavior, scale, influencing factors, theory of planned behavior (TPB), structural equation model (SEM)

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