Accident Risk Analysis and Applications of Railway Level Crossing

Autor: Kai-Han Wu, 武凱瀚
Druh dokumentu: 學位論文 ; thesis
Popis: 96
Railway level crossing is the interface of railway and highway facilities where traffic flows are interchanged at a spatial location. In the past, traffic accidents frequently occurred at level crossings and resulted in large property loss and people killed and injury. Due to the budgetary constraint, safety improvement programs focusing on identifying the key factors which might be associated with the occurrence of accidents were not generally considered. In order to reduce property loss and casualties, it is crucial to develop effective evaluation models that are capable of providing effective forecast of accident frequency and severity given a vector of covariates for safety improvement purpose. This research develops a set of statistical count data models for the evaluation of traffic accidents at railway level crossings. The developed models are not only able to evaluate accident frequency and severity but also capable to explore the potential risk factors that are responsible for traffic accidents. In the numerical analysis, the research uses the data set collected by the Ministry of Transportation and Communications (MOTC) in 1998. It consists of both historical accident data and railway level crossing related data, such as crossing type, highway geometric characteristics, daily trains and average annual daily traffic (AADT), etc. Accordingly, this research uses the available data set to establish a set of accident evaluation models, including an accident frequency model, an accident severity model, a risk model, and an accident risk model. Finally, this research has also constructed relevant performance indices to evaluate various model performances, and the preferred models were employed to providing evaluation of black spots and evaluation of countermeasure effects.
Databáze: Networked Digital Library of Theses & Dissertations
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