ACCIDENT RISK AT A RAILWAY LEVEL CROSSING

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概要

• 論文の詳細を見る

• The purpose of this research is to estimate risk models, which can assess the safety at a railway level crossing. The accident risk, in terms of equivalent fatalities in a period of time, is decomposed into two parts: the accident likelihood, in terms of number of accidents per period, and the accident impact, in terms of equivalent fatalities per accident. Each of the risk dimensions is investigated, using nonlinear regression, Poisson regression, and negative binomial regression, and considering the effect of exposure variables, highway characteristics, railway characteristics, and the control devices, at railway level crossings. Empirical results indicate that Poisson regression is good for the estimation of accident likelihood; and negative binomial regression is good for the estimation of accident risk and accident impact.

• Eastern Asia Society for Transportation Studiesの論文

著者

• HU Shou-Ren

  Department of Transportation and Communication Management Science

• HU Shou-Ren

  Department of Transportation and Communication Management, National Cheng Kung University

• LEE Chi-Kang

  Department of Marketing and Logistics Management, Southern Taiwan University of Technology

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• A STUDY ON EMERGENCY EVACUATION AND RESCUE NETWORK RECONSTRCUCTION FOR NATURAL DISASTERS WITH MULTI-CLASS USERS TRAVEL BEHAVIOR CONSTRAINTS
• VALUE OF TRAFFIC INFORMATION FOR ROUTE DIVERSION CONTROL SCHEME UNDER TRAFFIC INCIDENTS
• PATTERN ANALYSIS ON THE BOOKING CURVE OF AN INTER-CITY RAILWAY
• DESIGN OF DYNAMIC NEURAL NETWORKS TO FORECAST SHORT-TERM RAILWAY PASSENGER DEMAND
• Estimation of Time-Dependent Origin-Destination Matrices Using the Path Flow Proportion Method
• ACCIDENT RISK AT A RAILWAY LEVEL CROSSING

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