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张宇阳,桥本成仁. 社会资本等因素对手机分心驾驶危险度认知的影响[J]. 科学技术与工程, 2020, 20(24): 10067-10073.
ZHANG Yu-yang,HASHIMOTO Sei-ji.Study on Impact of Social Capital and Other Factors on Risk Awareness of Distracted Driving due to Mobile Phone Use[J].Science Technology and Engineering,2020,20(24):10067-10073.
社会资本等因素对手机分心驾驶危险度认知的影响
Study on Impact of Social Capital and Other Factors on Risk Awareness of Distracted Driving due to Mobile Phone Use
投稿时间:2020-02-14  修订日期:2020-06-06
DOI:
中文关键词:  手机分心驾驶危险度认知  有序Logistic回归模型  驾驶类型  社会资本  个人属性  
英文关键词:risk awareness of distracted driving due to mobile phone use  ordinal logistic regression  driving pattern  social capital  personal attribute  
基金项目:
     
作者单位
张宇阳 日本冈山大学环境生命科学研究科
桥本成仁 日本冈山大学环境生命科学研究科
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中文摘要:
      为了解哪些因素影响驾驶者对于手机分心驾驶危险度的认知,本研究以问卷调查数据为基础,采用因子分析和聚类分析方法,归纳驾驶习惯类型及社会资本类型;用卡方检验筛选有效解释变量;最终建立有序logistic回归模型,揭示相关因素对于手机分心驾驶危险度认知的影响权重。研究结果表明:驾驶习惯,社会资本和个人属性中的性别,受教育程度,年驾驶里程等因素能影响司机对于手机分心驾驶的危险度认知。具体来说,具有安全驾驶习惯的司机对于使用手机的危险程度更敏感;社会资本高的驾驶者倾向于开车时使用手机危险度高;但受教育程度高的驾驶者危险度认知度较低;驾驶里程数与危险度认知呈负相关;男性比女性更容易低估手机分心驾驶的危险度。Logistic回归模型的结果显示了以上因素中社会资本的影响程度最大,其次是年驾驶里程,再次是驾驶习惯。
英文摘要:
      In order to understand which factors affect drivers' risky awareness of mobile phone caused distracted driving, based on questionnaire data, the types of driving habits and social capital were being summarized through factor analysis and cluster analysis, the effective explanatory variables were being selected by chi-square test, and finally an ordinal logistic regression model was established to reveal the influence weight of the relevant factors on the risky awareness of mobile phone's distracted driving. The results show that driving tendency, social capital and personal attributes of gender, education level, and annual driving mileage can affect the driver's awareness of the dangers of mobile phone distracted driving. Specifically, drivers with safe driving habits are more sensitive to the risk of using mobile phones; drivers with high social ties tend to regard using mobile phones while driving is dangerous; highly educated drivers have a lower awareness of risk, and driving miles are negatively correlated with risky-awareness. Men are more likely than women to underestimate the dangers of distracted driving with mobile phone use. The results of the Logistic regression model show that the social relationship capital has the greatest influence among the above factors, followed by the annual driving mileage, and then, driving habits.
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