How state mindfulness affects mobile phones usage while walking: A daily diary study in China

Pedestrians are a particularly vulnerable group of road users. Mobile phone usage while walking (MPUWW) is a significant contributor to pedestrians’ involvement in road crashes and associated injuries. The current study aims to explore the effect of state mindfulness on daily MPUWW via phone dependence (at the within-person level), and the moderating role of risk perception (at the between-person level) in the phone dependence-MPUWW relationship. The authors utilized a fine-grained method, the daily diary methodology (DDM) to explore the aforementioned model. A total of 88 Chinese college students participated in a consecutive 12-day study, yielding 632 daily data. Unconflated multilevel modeling was used to analyze the data. After trait mindfulness being controlled, state mindfulness has a negative impact on MPUWW via phone dependence at the daily level. Furthermore, risk perception as an individual difference variable moderates the relationship between phone dependence and MPUWW, in which a weaker effect observed in individuals with higher levels of risk perception. State mindfulness can decrease the frequency of daily MPUWW by reducing phone dependence, and risk perception is a crucial factor in mitigating the negative effects of phone dependence on MPUWW. To lower MPUWW and thereby minimize the risk of road crashes and associated injuries, it is beneficial to foster present-moment awareness of individuals, encourage individuals to use mobile phones in a balanced and sensible manner, and integrate the enhancement of risk perception into road safety education.

• Record URL:
  • https://doi.org/10.1016/j.jsr.2024.05.001
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0022437524000549
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1800052
• Supplemental Notes:
  • © 2024 National Safety Council and Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wang, Moran
  • Guo, Zitong
  • Xu, Yaoshan
  • Yu, Guangtao
  • Li, Yongjuan
• Publication Date: 2024-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 216-224
• Serial:
  • Journal of Safety Research
  • Volume: 90
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0022-4375
  • Serial URL: http://www.sciencedirect.com/science/journal/00224375

Subject/Index Terms

• TRT Terms: Alertness; Distraction; Mobile telephones; Pedestrian safety; Risk taking; Travel behavior
• Geographic Terms: China
• Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01925783
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 29 2024 4:27PM