Comparing Unit Trains versus Manifest Trains for the Risk of Rail Transport of Hazardous Materials – Part I: Risk Analysis Methodology

07/04/2022
by   Di Kang, et al.
0

Transporting hazardous materials (hazmats) using tank cars has more significant economic benefits than other transportation modes. Although railway transportation is roughly four times more fuel-efficient than roadway transportation, a train derailment has greater potential to cause more disastrous consequences than a truck incident. Train types, such as unit train or manifest train (also called mixed train), can influence transport risks in several ways. For example, unit trains only experience risks on mainlines and when arriving at or departing from terminals, while manifest trains experience additional switching risks in yards. Based on prior studies and various data sources covering the years 1996-2018, this paper constructs event chains for line-haul risks on mainlines (for both unit trains and manifest trains), arrival/departure risks in terminals (for unit trains) and yards (for manifest trains), and yard switching risks for manifest trains using various probabilistic models, and finally determines expected casualties as the consequences of a potential train derailment and release incident. This is the first analysis to quantify the total risks a train may encounter throughout the shipment process, either on mainlines or in yards/terminals, distinguishing train types. It provides a methodology applicable to any train to calculate the expected risks (quantified as expected casualties in this paper) from an origin to a destination.

READ FULL TEXT

page 5

page 16

research
07/04/2022

Comparing Unit Trains versus Manifest Trains for the Risk of Rail Transport of Hazardous Materials – Part II: Application and Case Study

Built upon the risk analysis methodology (presented in the part I paper)...
research
02/06/2023

Crowd-sensing commuting patterns using multi-source wireless data: a case of Helsinki commuter trains

Understanding the mobility patterns of commuter train passengers is cruc...
research
01/21/2015

Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics

In cargo logistics, a key performance measure is transport risk, defined...
research
03/14/2018

A Study of Car-to-Train Assignment Problem for Rail Express Cargos on Scheduled and Unscheduled Train Service Network

Freight train services in a railway network system are generally divided...
research
12/15/2020

Explainable Abstract Trains Dataset

The Explainable Abstract Trains Dataset is an image dataset containing s...
research
06/18/2020

Train Unit Shunting and Servicing: a Real-Life Application of Multi-Agent Path Finding

In between transportation services, trains are parked and maintained at ...

Please sign up or login with your details

Forgot password? Click here to reset