|本期目录/Table of Contents|

[1]金杰灵,邓院昌.基于Bayesian-SEM的酒驾意图心理因素分析[J].中国安全生产科学技术,2018,14(5):174-179.[doi:10.11731/j.issn.1673-193x.2018.05.026]
　JIN Jieling,DENG Yuanchang.Analysis on psychological factors of drink-driving intention based on Bayesian-SEM[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(5):174-179.[doi:10.11731/j.issn.1673-193x.2018.05.026]
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基于Bayesian-SEM的酒驾意图心理因素分析
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
14
期数:
2018年5期
页码:
174-179
栏目:
职业安全卫生管理与技术
出版日期:
2018-05-31

文章信息/Info

Title:
Analysis on psychological factors of drink-driving intention based on Bayesian-SEM
文章编号:
1673-193X(2018)-05-0174-06
作者:
金杰灵; 邓院昌
（中山大学 工学院 广东省智能交通系统重点实验室，广东 广州 510006）
Author(s):
JIN Jieling;  DENG Yuanchang
(Guangdong Key Laboratory of Intelligent Transportation Systems, School of Engineering, Sun Yat-sen University, Guangzhou Guangdong 510006, China)
关键词:
公路运输; 贝叶斯结构方程模型; 扩展计划行为理论; 酒驾意图; 心理因素
Keywords:
highway transportation;  Bayesian structural equation model;  extended theory of planned behavior;  drink-driving intention;  psychology factor
分类号:
X92;U491.2
DOI:
10.11731/j.issn.1673-193x.2018.05.026
文献标志码:
A
摘要:
为探究酒驾意图的心理因素，在计划行为理论的基础上，新增地域文化规范和道德规范，形成扩展计划行为理论（Ex-TPB），构建基于Ex-TPB的酒驾意图心理因素贝叶斯结构方程模型（Bayesian-SEM），并对比传统结构方程模型（Traditional-SEM）与Bayesian-SEM的参数估计结果，分析驾驶员个人属性对模型结果的影响。研究结果表明：Ex-TPB对酒驾意图有较强的解释性能和预测性能；小样本条件下Bayesian-SEM比Traditional-SEM更容易得到较好的结果；对酒驾意图影响最大的因素为行为态度，最小的为知觉行为控制；驾驶员个人属性不同，其心理因素对酒驾意图的影响程度略有不同。
Abstract:
To explore the psychology factors of drink-driving intention, an extended theory of planned behavior (Ex-TPB) was formed on the basis of the theory of planned behavior with adding the regional cultural norms and moral norms. The Bayesian structural equation model (Bayesian-SEM) on the psychology factors of drink-driving intention based on Ex-TPB was constructed, and the parameter estimation results of traditional structural equation model (Traditional-SEM) and Bayesian-SEM were compared. At the same time, the influence of drivers' personal attributes on the results of the model was analyzed. The results showed that Ex-TPB had relatively strong explanatory performance and predictive performance to the drink-riving intention. The Bayesian-SEM was easier to obtain better results than the Traditional-SEM under the condition of small sample. The factor with the greatest impact on the drink-riving intention was the behavioral attitude, and that with the smallest impact was the perceptual behavior control. The influence degree of psychological factors on the drink-riving intention was slightly different when the drivers' personal attributes were different.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金项目（U1611461）
更新日期/Last Update: 2018-06-19