Peer Influence, Face-Saving, and Safe-Driving Behaviors: A Bayesian GITT Analysis of Chinese Drivers

Abstract

This study examines the dynamic relationship between face-saving mechanisms—proxied by age, income, and gender—and the peers’ safe-driving information on the driving behaviors of Chinese drivers. Using the Bayesian Mindsponge Framework (BMF) and Granular Interaction Thinking Theory (GITT) to analyze data from 1,039 Chinese drivers, we uncover a complex interplay of factors. Our findings suggest that peers serving as role models and actively supporting careful driving positively influence drivers’ safe driving behaviors. The effect of role-model peers is strengthened among drivers with higher age and income levels. In contrast, the impact of actively engaged peers is lower among these groups and male drivers (though the gender’s negative moderation effect is weakly reliable). These results highlight the crucial role of peer influence in promoting safe driving and underscore the dynamic effects of cultural values, particularly face-saving concerns, on drivers’ cognitive and behavioral processes in China.

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Author Profiles

Minh-Hoang Nguyen
Phenikaa University
Thi Mai Anh Tran
Michigan Technological University
Thien-Vu Tran
The University of Danang
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