A study on Accident Analysis for Highway-Railway Level Crossing

• Main Authors: Meng-Wen Tsai, 蔡孟紋
• Other Authors: Chi-Kang Lee
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/40973789842059611220

碩士 === 國立成功大學 === 交通管理學系碩博士班 === 94 === The consequence and frequency of crossing are the most serious event of railway accidents, the advanced countries continue to be of concern despite an ever-increasing focus on improved design and practices, but little domestic research has examined the crossing risk. The aim of this research is to evaluate the crossing risk and structure statistical models which are not only prediction of crossing accidents probability or risk, but explaining the risk factors. The data is from Crossing Improvement Plan by Taiwan Provincial Government in 1998, including three years accidents data from 1995 to 1997. The study establishes “Crossing Accident Frequency”, “Crossing Accident Impact”, and “Crossing risk” models to discuss respectively the Probability Index for accident numbers in unit time, the Impact Index for equivalent fatality of accidents, and the Risk Index for equivalent fatality in unit time. This study finds the Crossing Frequency model is fit to Poisson regression; the Accident Impact and Accident Risk models are fit Negative Binomial regression. The findings show promise for the methodological approach undertaken and provide important directions for future railroad research.