基于SEM的雾霾天气对大学生交通出行影响研究

林诗悦,董洁霜

交通运输研究 ›› 2017, Vol. 3 ›› Issue (5) : 33-38.

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PDF(1430 KB)
交通运输研究 ›› 2017, Vol. 3 ›› Issue (5) : 33-38.
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基于SEM的雾霾天气对大学生交通出行影响研究

  • 林诗悦,董洁霜
作者信息 +

Influence of Hazy Weather on College Students′ Travel Behavior Based on SEM

  • LIN Shi-yue and DONG Jie-shuang
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摘要

大学生群体是较为特殊的群体,几乎不拥有私家车,多采用公共交通出行,且多为弹性出 行,更易受到雾霾等外部因素的影响。鉴于此,针对大学生群体,研究雾霾天气下影响其出行的关键因素以及雾霾天气对其出行各方面(如出行时间、出行次数等) 的影响及影响程度。在大学 生问卷调查的基础上,运用计划行为理论,建立结构方程模型,研究雾霾天气下大学生出行行为特征。运用AMOS21.0 及SPSS20.0 软件,对结构方程模型进行实证分析及检验拟合。研究结果表明:雾霾天气下,出行者的心理状况和对雾霾天气的敏感程度是影响大学生出行的关键因素;雾霾天气会导致出行者出行行为的改变,其中对出行时间的影响最大,其次是出行次数,对出行方式的影响最小。

Abstract

The group of college students was special. They hardly owned private cars. They mostly used public transport to travel. And their travel were mostly flexible and susceptible to external factors such as haze. Therefore, taking the group of college students as object, the key factors influencing their travel in hazy weather and the influence of hazy weather on travel (such as travel time, travel times, etc.) and their influence degree were mainly studied. Based on the questionnaire survey of college students, using the planned behavior theory, the structural equation model was established to study the college students′ travel behavior in hazy weather. Using AMOS21.0 and SPSS20.0 software, the structural equation model was empirically analyzed and fitted. The results show that the psychological status of travelers and their sensitivity to hazy weather are the key factors affecting college students′ travel. The research suggests that hazy weather can lead to changes in travel behavior: the hazy weather had the greatest impact on travel time, followed by travel times, and the least impact on travel mode.

关键词

城市交通 / 出行行为 / 结构方程模型 / 大学生 / 雾霾天气

Key words

urban traffic / travel behavior / structural equation model / college student / hazy weather

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导出引用
林诗悦,董洁霜. 基于SEM的雾霾天气对大学生交通出行影响研究[J]. 交通运输研究. 2017, 3(5): 33-38
LIN Shi-yue and DONG Jie-shuang. Influence of Hazy Weather on College Students′ Travel Behavior Based on SEM[J]. Transport Research. 2017, 3(5): 33-38

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