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Title: Analysis of Accident Risk at Railroad Grade Crossing
Accession Number: 01100669
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Increasing number and more severed traffic accidents are observed at railroad grade crossings. These accidents have caused significant impacts both from personal and societal perspectives. The factors that cause traffic accidents at a railroad grade crossing can be attributed to either railway or highway related characteristics, or both. They may also be caused by driver¡¦s aggressive behaviors or incautious actions. These factors have different degrees of impact on the potential risk in terms of accident likelihood and severity at a typical railroad grade crossing. The purposes of this research are to compare the capabilities of various count data models in identifying the risk level at a railroad grade crossing, and to evaluate the model performance in the prediction of accident risk at a railroad grade crossing. In the present study, we have evaluated three statistical models based on the historical accident data and railway/highway traffic and geometric characteristics in Taiwan. They include Poisson, negative binomial, and zero-inflated Poisson (ZIP) models. The empirical study indicates that the ZIP based models generally outperform the other two models. Moreover, traffic exposure related variables (e.g., number of daily trains and AADT) are generally found to have different degrees of impact on accident risk. The model evaluation results may provide the government agencies with beneficial information in identifying the hazardous crossings and preparing a safety improvement program accordingly.
Monograph Title: Monograph Accession #: 01084478
Report/Paper Numbers: 08-1426
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Hu, Shou-RenLee, Chi-KangPagination: 22p
Publication Date: 2008
Conference:
Transportation Research Board 87th Annual Meeting
Location:
Washington DC, United States Media Type: DVD
Features: References
(33)
; Tables
(7)
TRT Terms: Identifier Terms: Geographic Terms: Subject Areas: Highways; Operations and Traffic Management; Railroads; Safety and Human Factors; I81: Accident Statistics; I83: Accidents and the Human Factor
Source Data: Transportation Research Board Annual Meeting 2008 Paper #08-1426
Files: TRIS, TRB
Created Date: Jan 29 2008 3:47PM
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