多维度驾驶风格量表的修订及其与驾驶员情绪状态之间的关系研究
发布时间：2018-07-15 12:39
【摘要】：驾驶风格指驾驶员在日常生活中习惯性的驾驶方式。驾驶风格因人而异，对驾驶行为有重要的影响。本研究分为两个部分。 研究一：多维度驾驶风格量表的修订 通过“滚雪球”技术，在全国20个大中城市先后分两次选取655名驾驶员参加测试。经过项目分析，探索性因素分析和验证性因素分析，形成中文版多维度驾驶风格量表（MDSI-C）。MDSI-C共24个项目，分为感觉寻求、愤怒、焦虑、分心和冒险五个维度。MDSI-C主要用来测量驾驶员冒险型、愤怒型和焦虑型三种非适应性驾驶风格。 MDSI-C总的信度为0.86，各个维度的内部一致性系数均在0.70以上。各个维度与量表总分的相关系数在0.60~0.77之间，均p 0.001，说明量表具有很好的内容效度。验证性因素分析发现，修订版量表的模型拟合度和结构效度均较好。 研究二：不同情绪状态对驾驶风格的影响研究 在辽宁省沈阳和大连两个城市，，随即入户选取188名驾驶员参加测试。被试先后完成中文版多维度驾驶风格量表和驾驶员情绪状态量表。结合人口学因素和不同情绪状态，通过分层回归分析来探索驾驶风格最有力的预测因子，研究结论如下： 第一，驾驶员情绪量表的愤怒，紧张和抑郁维度均与MDSI-C各维度成正相关。精力维度与MDSI-C分心维度呈微弱负相关。 第二，驾驶员各人口学因素和不同情绪状态的因素主效应与交互作用，可以解释MDSI-C感觉寻求维度33.2%的变异，愤怒维度39.6%的变异，冒险维度29.9%的变异，焦虑维度37.8%的变异，分心维度42.2%的变异。 第三，驾驶员各人口学因素和不同情绪状态的因素主效应与交互作用，可以解释MDSI-C冒险型驾驶风格31.8%的变异，愤怒型驾驶风格37.5%的变异，焦虑型驾驶风格43.1%的变异。 总体来说，中文版多维度驾驶风格量表具有很好的信、效度。量表为今后评估职业驾驶员的驾驶行为，筛选事故倾向性驾驶员等提供一个可靠的测量工具。同时，该研究首次揭示了情绪状态对驾驶风格的影响，丰富了驾驶行为与驾驶风格关系模型，为开发消极情绪影响驾驶风格的实时监测技术提供了科学依据。
[Abstract]:Driving style refers to the driver's habitual driving style in daily life. Driving styles vary from person to person and have an important impact on driving behavior. This study is divided into two parts. Research 1: the revision of the Multidimensional driving style scale was carried out by snowballing technique. 655 drivers were selected twice in 20 large and medium-sized cities in China to take part in the test. After item analysis, exploratory factor analysis and confirmatory factor analysis, a Chinese version of Multidimensional driving style scale (MDSI-C) .MDSI-C was formed, which was divided into feeling seeking, anger and anxiety. Five dimensions of distraction and risk-taking. MDSI-C was mainly used to measure three kinds of non-adaptive driving styles: risk-taking, anger and anxiety. The total reliability of MDSI-C was 0.86, and the internal consistency coefficient of each dimension was above 0.70. The correlation coefficient between each dimension and the total score of the scale was between 0.60 and 0.77, all P 0.001, which indicated that the scale had good content validity. Confirmatory factor analysis showed that the model fit and structural validity of the revised scale were good. Study 2: the influence of different emotional states on driving style was studied in Shenyang and Dalian, Liaoning Province. 188 drivers were selected to take part in the test. Subjects completed the Chinese version of the multi-dimensional driving style scale and driver emotional state scale. Combined with demographic factors and different emotional states, the most powerful predictors of driving style were explored by hierarchical regression analysis. The conclusions were as follows: first, anger of driver's emotion scale, Both stress and depression dimensions were positively correlated with MDSI-C dimensions. There was a weak negative correlation between energy dimension and MDSI-C distraction dimension. Secondly, the main effects and interactions of drivers' demographics and different emotional states can explain the 33.2% variation of MDSI-C sensation, 39.6% variation of anger dimension, 29.9% variation of risk-taking dimension, 37.8% variation of anxiety dimension. The variation of distraction dimension was 42.2%. Thirdly, the main effect and interaction of demography factors and different emotional states of drivers can explain the variation of MDSI-C risk-taking driving style 31.8%, angry driving style 37.5%, anxiety driving style 43.1%. In general, the Chinese version of the Multidimensional driving style scale has good reliability and validity. The scale provides a reliable measurement tool for evaluating the driving behavior of professional drivers and screening accident prone drivers in the future. At the same time, this study for the first time reveals the influence of emotional state on driving style, enriches the model of relationship between driving behavior and driving style, and provides a scientific basis for the development of real-time monitoring technology of negative emotion influencing driving style.
【学位授予单位】：辽宁师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：B842.6
本文编号：2124098
[Abstract]:Driving style refers to the driver's habitual driving style in daily life. Driving styles vary from person to person and have an important impact on driving behavior. This study is divided into two parts. Research 1: the revision of the Multidimensional driving style scale was carried out by snowballing technique. 655 drivers were selected twice in 20 large and medium-sized cities in China to take part in the test. After item analysis, exploratory factor analysis and confirmatory factor analysis, a Chinese version of Multidimensional driving style scale (MDSI-C) .MDSI-C was formed, which was divided into feeling seeking, anger and anxiety. Five dimensions of distraction and risk-taking. MDSI-C was mainly used to measure three kinds of non-adaptive driving styles: risk-taking, anger and anxiety. The total reliability of MDSI-C was 0.86, and the internal consistency coefficient of each dimension was above 0.70. The correlation coefficient between each dimension and the total score of the scale was between 0.60 and 0.77, all P 0.001, which indicated that the scale had good content validity. Confirmatory factor analysis showed that the model fit and structural validity of the revised scale were good. Study 2: the influence of different emotional states on driving style was studied in Shenyang and Dalian, Liaoning Province. 188 drivers were selected to take part in the test. Subjects completed the Chinese version of the multi-dimensional driving style scale and driver emotional state scale. Combined with demographic factors and different emotional states, the most powerful predictors of driving style were explored by hierarchical regression analysis. The conclusions were as follows: first, anger of driver's emotion scale, Both stress and depression dimensions were positively correlated with MDSI-C dimensions. There was a weak negative correlation between energy dimension and MDSI-C distraction dimension. Secondly, the main effects and interactions of drivers' demographics and different emotional states can explain the 33.2% variation of MDSI-C sensation, 39.6% variation of anger dimension, 29.9% variation of risk-taking dimension, 37.8% variation of anxiety dimension. The variation of distraction dimension was 42.2%. Thirdly, the main effect and interaction of demography factors and different emotional states of drivers can explain the variation of MDSI-C risk-taking driving style 31.8%, angry driving style 37.5%, anxiety driving style 43.1%. In general, the Chinese version of the Multidimensional driving style scale has good reliability and validity. The scale provides a reliable measurement tool for evaluating the driving behavior of professional drivers and screening accident prone drivers in the future. At the same time, this study for the first time reveals the influence of emotional state on driving style, enriches the model of relationship between driving behavior and driving style, and provides a scientific basis for the development of real-time monitoring technology of negative emotion influencing driving style.
【学位授予单位】：辽宁师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：B842.6
【参考文献】
相关期刊论文 前2条
1 孙舒放;Chris S. Dula;Cristi L. Adams;;1282名驾驶员焦虑水平与危险驾驶关系研究[J];广东医学;2009年10期
2 孙龙;常若松;;营运驾驶员驾驶风格研究[J];人类工效学;2014年03期
本文编号：2124098
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