駕駛行爲與肇事槪率之關聯性硏究

摘要

本硏究利用「因素化駕駛行爲問卷 」(factorized driving behavior questionnaire ， FDBQ)，進行駕駛者駕駛行爲資料蒐集及分析。藉由集群分析與邏輯斯迴歸摸式對駕駛者交通意外事故風險與駕駛者特性、駕駛行爲進行關聯性分析，由此建立駕駛者肇事風險的評估方法。結果顯示，駕駛行爲中之侵略性及超速性違規與交通意外事故風險有明顯之關聯性；此外，性別差異、年齡、駕車頻率、吊銷或吊扣駕照記錄、超車違規記錄與酒醉違規駕駛記錄亦與肇事風險有關。

Abstract

This study was focused to investigate the connections of traffic accidents and driving behaviors through collecting and analyzing the self-reported factorized driving behavior questionnaire(FDBQ). Based on the accident risk likelihood of individual driving behavior, the drivers were classified into high-risk and low-risk groups. The drivers in high-risk group were found to have significantly higher driving aggression and speeding violation rate. The results also indicated that the level of risk likelihood decreases with the increasing of driver's age and male drivers appear to have higher accident risk than female drivers. In additions, those people who reported to have been convicted of over speeding and license suspended were also found to have high risk of driving accident.

關鍵詞:

• 駕駛行爲
• 事故風險評估
• 因素化駕駛行爲問卷
• 集群分析
• 邏輯斯迴歸模式

Key Words:

• accident risk assessment
• driving behavior
• factorized driving behavior questionnaire (FDBQ)
• cluster analysis
• logistic regression model