Analysis of Derailment Severity Comparing Unit Trains at Transload Terminals and Manifest Trains at Railroad Switching and Hump Classification Yards

Author:

Zhao Jiaxi1ORCID,Dick C. Tyler1ORCID,Kang Di2ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, Rail Transportation and Engineering Center – RailTEC, University of Illinois at Urbana-Champaign, Urbana, IL

2. Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ

Abstract

Growing demand for the safe and efficient transportation of crude oil and other flammable liquids by rail has highlighted the need to understand the relative derailment risk of two major heavy haul freight train types operating in the U.S.A.: unit trains dedicated to a single commodity between origin and destination terminals, and manifest trains transporting carload shipments between multiple classification (marshalling) yards. Despite the low likelihood of a train derailment, understanding the factors that influence the severity of a train derailment can potentially mitigate severe consequences and improve the reliability of railway transportation. Previous studies have quantified the derailment severity of mainline transportation but excluded derailments in yards and terminals. This paper examines U.S. freight train yard and terminal derailment data between 1996 and 2018 to develop a novel event-chain-based probabilistic risk analysis specifying yard and terminal arrival and departure derailment (derailments involving trains arriving/departing a yard or terminal) severity for both manifest trains and unit trains, and yard switching derailment (derailments during railcar sorting or classification in a yard) severity for manifest trains only. The approach developed in this paper provides predictions of severity with respect to the total number railcars derailed and hazardous materials (hazmat) railcars derailed given a manifest train or unit train shipment and hazmat railcar placement within the train consist. When combined with mainline derailment risk analysis methodologies and yard derailment rates from previous research, these yard and terminal derailment severity metrics facilitate more holistic comparisons of unit and manifest train derailment risks for all components of loaded trips.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3