A study of left turning drivers’ intention to yield to opposite straight going cars at intersections

碩士 === 國立交通大學 === 運輸與物流管理學系 === 101 === This study explores drivers’ psychological intentions while yielding to opposite straight going cars at intersections. A model was constructed to find factors related to yielding to opposite straight going cars; In addition, the study designed some driving sce...

Full description

Bibliographic Details
Main Authors: Li, Wei-Hau, 李偉豪
Other Authors: Wu, Shoei-Wei
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/62776250848817995476
Description
Summary:碩士 === 國立交通大學 === 運輸與物流管理學系 === 101 === This study explores drivers’ psychological intentions while yielding to opposite straight going cars at intersections. A model was constructed to find factors related to yielding to opposite straight going cars; In addition, the study designed some driving scenario questions to analyze drivers’ willingness to yield at all traffic condition, hoping to find "the scenario with the highest rate of occurrence of looting to opposite straight going cars". This study used some methods such as questionnaire surveys, path analyses, cluster analysis and the Rasch model. Based on the theory of driver intention, the questionnaire was designed using personality traits, driver skill confidence levels, risk recognition, and willingness to yield to straight going cars. Every construct was measured by several items. Often, in other similar studies, the Likert-scale is used as the interval scale. However, because there is no evidence to prove that the Likert-scale is the correct interval scale for this type of research, and the Likert-scale is really just an ordinal scale, it is not used for statistical analyses. To overcome this dispute, this study tries to apply item response theory to convert ordinal data into interval data for further statistical inference and discussion. This study collected driving samples from both motocycles and automobiles. In the formal testing, 479 samples were collected, with 386 valid samples. The results demonstrate that risk recognition is the main factor effecting driver behavior as related to failing to yielding to opposite straight cars. It means that drivers who often fail to appropriately yield to opposite straight going cars do not feel dangerous when they meet the traffic conflict. Motorcyclists who has the high normlessness level may loot to opposite straight going cars. In addition, regardless of what the left turning car is, the left- turning drivers had the high probability to loot the opposite straight going car which had not yet arrived at the stop line. According to the results, this study suggests that increasing driver awareness of the risk recognition of failing to yield to opposite straight going car at intersections is an important issue for the government to mitigate the phenomenon of failing to yield to opposite straight going cars at intersections.