1 research outputs found
Railroad Transportation of Dangerous Goods in Canada: Data-Driven Risk Analysis and Implications for Emergency Management
The purpose of this study is to examine key risk factors associated with the railroad
transportation of hazardous materials (hazmat) and to develop a data-driven risk analysis
methodology using rail incident records from 1999 to 2023 across Canada from multiple
resources and creating a risk management framework in case of hazmat release.
In the first stage, we will identify the primary factors affecting hazmat release during
rail transportation, such as time, location, activity, track type, train characteristics, load specifics,
and weather-related attributes. At this stage, utilizing machine learning techniques, including
Logistic Regression, Decision Trees, and a two-hidden-layer Neural Network, we aim to
facilitate the second stage of the study. This subsequent stage intends to provide insights and
recommendations for effective risk management strategies such as risk mitigation and disaster
prevention, preparedness, and response strategies within the context of hazmat rail
transportation, particularly in Canada