JOURNAL ARTICLE

Sensation seeking predicts risky driving behavior: The mediating role of difficulties in emotion regulation.

  • Published In: Risk Analysis: An International Journal, 2023, v. 43, n. 9. P. 1871 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Li, Jun; Zhou, Ying; Ge, Yan; Qu, Weina 3 of 3

Abstract

The purpose of this study was to explore the mediating effect of difficulties in emotion regulation on the relationship between sensation seeking and driving behavior based on the dual‐process model of aberrant driving behavior. A sample of 299 drivers in China completed the Difficulties in Emotion Regulation Scale, the Driver Behavior Questionnaire, and the Sensation Seeking Scale V (SSS). The relationships among sensation seeking, difficulties in emotion regulation, and driving behavior were investigated using pathway analysis. The results showed that (1) disinhibition and boredom susceptibility are positively and significantly related to difficulties in emotion regulation and risky driving behaviors; (2) difficulties in emotion regulation are positively and significantly associated with risky driving behaviors; (3) difficulties in emotion regulation mediate the effect of sensation seeking on driving behaviors, supporting the dual‐process model of driving behavior; and (4) professional drivers score higher in terms of difficulties in emotion regulation and risky driving behaviors than nonprofessional drivers. The findings of this study could provide valuable insights into the selection of suitable drivers and the development of certain programs that benefit road safety. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Risk Analysis: An International Journal. 2023/09, Vol. 43, Issue 9, p1871
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:0272-4332
  • DOI:10.1111/risa.14066
  • Accession Number:171875078
  • Copyright Statement:Copyright of Risk Analysis: An International Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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