人格特質影響駕駛風險之分級模型建構──以國道客運駕駛員為例

Constructing the Risk Level Models Based on Inter-City Bus Drivers’ Personalities

國道客運為臺灣地區主要之中長途城際運輸服務，若肇生交通事故往往造成大量的人員傷亡。駕駛行為係影響整體行車安全之重要因子，且受到駕駛員自身人格特質之影響，將直接影響國道運輸安全，為確保乘客人身安全及提升客運業者營運安全績效，實有建構人格特質影響偏差駕駛行為與駕駛風險模式之必要。本研究透過個案公司行車紀錄器資料辨認可能導致風險之偏差駕駛行為，並就整體駕駛風險加以分級；另發放問卷取得駕駛員個人資料，了解人格特質與駕駛風險的關聯性。本研究以偏差駕駛行為為基礎建立駕駛風險分級制度，並建構次序性羅吉特模式檢驗人格特質對偏差駕駛行為特性與風險分級結果之影響，得以進一步推展既有駕駛員安全風險管理與適任性評估。 Inter-city bus service has become one of the most important transportation modes in Taiwan, especially when it comes to medium and long way travels. Meanwhile, inter-city bus could cause more casualties when traffic accidents occur, owing to its relatively large capacity. Statistics indicates that 90% traffic accidents could be attributed to driving behaviors related to human factors. Drivers' driving behaviors are also adopted in inter-city carrier assessment program lately, which confirms the importance of bus drivers in terms of highway safety. Driver's driving performance could be determined by their personalities and would have significant impacts on the safety of inter-city transportation. Consequently, it is essential to construct risk level models based on drivers' aberrant driving behaviors. This study acquire tachograph recorded driving data and personality information from an inter-city bus operator, and constructs risk level classification mechanism on the basis of aberrant driving behaviors to assess drivers' driving risk. Moreover, binary logit regression and ordered logit regression models are employed to examine the relationships between personalities and driving risk levels. Analytical results of this study could be further elaborated for bus carriers to execute driver management and to serve as indices for appraising new employees when recruiting.

Inter-city bus service has become one of the most important transportation modes in Taiwan, especially when it comes to medium and long way travels. Meanwhile, inter-city bus could cause more casualties when traffic accidents occur, owing to its relatively large capacity. Statistics indicates that 90% traffic accidents could be attributed to driving behaviors related to human factors. Drivers' driving behaviors are also adopted in inter-city carrier assessment program lately, which confirms the importance of bus drivers in terms of highway safety. Driver's driving performance could be determined by their personalities and would have significant impacts on the safety of inter-city transportation. Consequently, it is essential to construct risk level models based on drivers' aberrant driving behaviors. This study acquire tachograph recorded driving data and personality information from an inter-city bus operator, and constructs risk level classification mechanism on the basis of aberrant driving behaviors to assess drivers' driving risk. Moreover, binary logit regression and ordered logit regression models are employed to examine the relationships between personalities and driving risk levels. Analytical results of this study could be further elaborated for bus carriers to execute driver management and to serve as indices for appraising new employees when recruiting.