[1]郭凤香,周怡雯,李明远,等.基于TPB理论和结构方程模型的老年驾驶人安全培训[J].长安大学学报(自然科学版),2022,42(5):96-104.[doi:10.19721/j.cnki.1671-8879.2022.05.010]
　GUO Feng-xiang,ZHOU Yi-wen,LI Ming-yuan,et al.Elderly drivers safety training based on TPB theory and structural equation model[J].Journal of Chang’an University (Natural Science Edition),2022,42(5):96-104.[doi:10.19721/j.cnki.1671-8879.2022.05.010]
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基于TPB理论和结构方程模型的老年驾驶人安全培训()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第42卷
期数:
2022年5期
页码:
96-104
栏目:
交通工程
出版日期:
2022-09-30

文章信息/Info

Title:
Elderly drivers safety training based on TPB theory and structural equation model
文章编号:
1671-8879(2022)05-0096-09
作者:
郭凤香1; 周怡雯1; 李明远1; 陈 亮1; 田毕江2
(1. 昆明理工大学 交通工程学院,云南 昆明 650500; 2. 云南省交通规划设计研究院有限公司 陆地交通气象灾害防治技术国家工程实验室,云南 昆明 650031)
Author(s):
GUO Feng-xiang1;  ZHOU Yi-wen1;  LI Ming-yuan1;  CHEN Liang1;  TIAN Bi-jiang2
(1. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan, China; 2. National Engineering Laboratory of Land Traffic Meteorological Disaster Prevention and Control Technology, Yunnan Traffic Planning and Design Research Institute Co., Ltd., Kunming 650031, Yunnan, China)
关键词:
交通工程;  交通安全;  驾驶培训;  老年驾驶人;  计划行为理论;  结构方程模型
Keywords:
traffic engineering;  traffic safety;  driving training;  elderly driver;  planned behavior theory(TPB);  structural equation model(SEM)
分类号:
U491.254
DOI:
10.19721/j.cnki.1671-8879.2022.05.010
文献标志码:
A
摘要:
为探究驾驶培训对老年驾驶人驾驶安全的影响,将“有无参加驾驶培训”作为影响驾驶人特性与交通安全关系的变量予以考虑,构建了基于计划行为理论(TPB)的驾驶培训模型,并采用结构方程模型(SEM)捕捉变量(如驾驶人年龄、驾驶行为、驾驶态度、危险驾驶倾向、训练水平等)之间的复杂关系,进一步验证了驾驶培训的必要性。研究结果表明:驾驶人年龄与训练水平对驾驶态度、驾驶行为特性和危险驾驶倾向具有显著影响; 训练水平对驾驶行为特性的正向影响高于年龄对驾驶行为特性的负向影响,其对危险驾驶倾向的负向影响高于年龄对危险驾驶倾向的正向影响,参加培训更能改善老年驾驶人的驾驶行为特性并降低其危险驾驶倾向; 驾驶态度对驾驶行为特性和危险驾驶倾向都有显著的间接影响,对驾驶行为特性具有正向影响,对危险驾驶倾向具有负向影响,驾驶人的驾驶行为特性和危险驾驶倾向更容易受到年龄的影响。基于计划行为理论的培训模型可以通过改变老年驾驶人驾驶态度来改变其驾驶行为特性,并提高其驾驶操作的稳定性和安全性,并且,调节训练水平从而改变驾驶态度对驾驶行为特性和危险驾驶倾向均有显著影响,因此,可通过调节训练水平和驾驶态度等方式加强对老年驾驶人的安全教育。
Abstract:
In order to explore the influence of driving training on elderly drivers safety safety, a driving training method based on the planned behavior theory(TPB)was proposed, and whether to participate in driving training was taken as a variable that affects the relationship between driver characteristics and traffic safety. The structural equation model(SEM)was used to capture the complex relationship between variables(driver's age, driving behavior, driving attitude, dangerous driving tendency, training level), and the necessity of driving training was further verified. The results show that the driver's age and training level have a significant impact on driving attitude, driving behavior characteristics and dangerous driving tendency. Among them, the positive effect of training level on driving behavior characteristics is higher than the negative effect of age on driving behavior characteristics. The negative influence of dangerous driving tendency is higher than the positive influence of age on dangerous driving tendency, participating in training can improve the driving behavior characteristics and reduce the dangerous driving tendency of elderly drivers. The driving attitude has a significant indirect influence on driving behavior characteristics and dangerous driving tendency, a positive influence on driving behavior characteristics, and a negative influence on dangerous driving tendency, indicating that drivers' driving behavior characteristics and dangerous driving tendency are more susceptible to the effect of age. The training model based on the theory of planned behavior can change the driving behavior characteristics of elderly drivers by changing their driving attitudes, and improve the stability and safety of their driving operations. Moreover, adjusting the training level to change the driving attitude has a significant impact on driving behavior characteristics and dangerous driving tendency. Therefore, safety education for elderly drivers can be strengthened by adjusting training levels and driving attitudes.6 tabs, 5 figs, 27 refs.

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备注/Memo

备注/Memo:
基金项目:国家自然科学基金项目(71961012); 云南省交通规划设计研究院有限公司科技项目(ZL-2017-04); 甘肃省自然科学基金项目( 20JR10RA181 )
作者简介:郭凤香(1979-),女,黑龙江海林人,教授,工学博士,E-mail:guofengxiang@kust.edu.cn。
更新日期/Last Update: 2022-09-30