| Summary: | 碩士 === 逢甲大學 === 運輸科技與管理學系 === 100 === Traffic rules, regulations, and engineering measures are designed to prevent traffic accidents. With these articifial measures, however, citizens are contanctly doing violent behaviors when driving on the roadway in Taiwan. Many research papers, dissertations, and studies show the causes of traffic accidents which should be blamed to the drivers are counted more than 90 percent. Therefore, we aim to investigate the phychological issues and human factors concerning drivng behavior in this paper.
To study the human factors in-depth, this thesis applies the method of The Theory of Planned Behavior (TPB) established by Icek Ajzen, where the factors are termed as “attitude,” “subjective norm” and “perceived behavior control.” Base on the three established factors, the detailed variables reflecting the inner factors and outer conditions, either directly influencing the behavior intention, or indirectly influencing the occurrance of violent behaviors, are observed and studied. A self-assessment questionnaire survey with a random sample of 271 drivers is conducted to help this study in Taichung City in May 2012. Then, the Linear Structure Relationship Model (LISREL) is used to correlate the parameters in the survey with statistic methods.
The results of this study show that 1) “attitude” (weight of 0.63) is the dominate factor in this model, 2) both “subjective norm” (weight of 0.39) and “perceived behavior control” (weight of 0.27) are significant factors, and 3) behavior intention has more influence on violent behaviors than perceived behavior control does. Furethurmore, the analysis indicates that “saving time,” “riskness of danger,” and “subjective cognition of violent behaviors” are the appropriate factors for measuring drivers’ attitude. Regarding the measurement of drivers’ subjective norm, according the results, “attitude toward social pressure” is an appropriate factor in the modeling. Finally, we find the easibility and tendency of doing violent behaviors are two factors to measure drivers’ perceived behavior control.
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