How does artificial intelligence usage affect the safety behavior of bus drivers? A double-edged sword study

IF 3.5 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-02-26 DOI:10.1016/j.trf.2025.02.026

Yunshuo Liu , Yanbin Li , Lili Hu , Qichao Zhang

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引用次数: 0

Abstract

This study aims to provide a framework for understanding the mechanism by which artificial intelligence (AI) usage affects the safety behavior of bus drivers through cognitive appraisal theory. We examined data from 555 bus drivers at three-time points. Our findings indicate that AI usage is positively related to both safety self-efficacy and job insecurity, which in turn are linked to safety behavior. Safety self-efficacy and job insecurity mediate the relationship between AI usage and safety behavior. Additionally, we found that trait resilience moderates the positive relationship between AI usage and safety self-efficacy, as well as the relationship between AI usage and job insecurity. Furthermore, trait resilience moderates the indirect effect of AI usage on safety behavior through safety self-efficacy and job insecurity. The results suggest that AI usage has two faces, both enhancing and impairing the safety behavior of bus drivers. These findings are crucial for management theory and practice.

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人工智能的使用如何影响公交司机的安全行为？学习是一把双刃剑

本研究旨在通过认知评价理论，为理解人工智能（AI）使用影响公交司机安全行为的机制提供一个框架。我们在三个时间点检查了555名公交车司机的数据。我们的研究结果表明，人工智能的使用与安全自我效能和工作不安全感呈正相关，而工作不安全感又与安全行为有关。安全自我效能感和工作不安全感在人工智能使用与安全行为之间起中介作用。此外，我们发现特质弹性调节人工智能使用与安全自我效能之间的正相关关系，以及人工智能使用与工作不安全感之间的正相关关系。此外，特质弹性通过安全自我效能感和工作不安全感调节人工智能使用对安全行为的间接影响。研究结果表明，人工智能的使用具有两面性，既可以增强公交车司机的安全行为，也可以损害司机的安全行为。这些发现对管理理论和实践至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Research Part F-Traffic Psychology and Behaviour Multiple-

CiteScore

7.60

自引率

14.60%

发文量

239

审稿时长

71 days

期刊介绍： Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.