Meteorological risk assessment of Canadian transcontinental freight railway

Railway transportation, integral to Canada’s supply chain, is recognized for its reliability and safety, yet its complexity introduces various risks. In this study, a meteorological risk assessment of the Canadian transcontinental freight railway is performed using a comprehensive spatial analysis. Flood (areas prone to flood risk across the province), rain (maximum daily precipitation in mm), snow (maximum snowfall in cm), minimum temperature (minimum temperature in Celsius), and wind (maximum gust speed in Km/h) have been selected as factors to generate meteorological risk maps of the Transcontinental Freight Canadian National Railway (CN) for the Saskatchewan and Ontario provinces. The study generated five integrated risk maps, varying in factor weighting approaches, including equal weight, score-based weighting, expert opinion-based Analytical Hierarchy Process, and seasonal considerations for both warm and cold seasons. These risk maps demonstrate hotspots and hazardous areas that require more attention and planning to maintain the continuity of the supply chain. The results of this study can be used to enhance safety, reduce service disruptions, and ensure the smooth operation of the railway network.

Authors

Institutions

Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2024-10-11
DOI
https://doi.org/10.1016/j.trd.2024.104453
Citations
7
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
3.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Meteorological risk assessment of Canadian transcontinental freight railway

Golam Kabir, Mehrnoush Bahramimehr
7 citations
Transportation Research Part D Transport and Environment
Risk and Safety Analysis
3.23
article

Meteorological risk assessment of Canadian transcontinental freight railway

Golam Kabir, Mehrnoush Bahramimehr
article en
7 citations

Abstract

Railway transportation, integral to Canada’s supply chain, is recognized for its reliability and safety, yet its complexity introduces various risks. In this study, a meteorological risk assessment of the Canadian transcontinental freight railway is performed using a comprehensive spatial analysis. Flood (areas prone to flood risk across the province), rain (maximum daily precipitation in mm), snow (maximum snowfall in cm), minimum temperature (minimum temperature in Celsius), and wind (maximum gust speed in Km/h) have been selected as factors to generate meteorological risk maps of the Transcontinental Freight Canadian National Railway (CN) for the Saskatchewan and Ontario provinces. The study generated five integrated risk maps, varying in factor weighting approaches, including equal weight, score-based weighting, expert opinion-based Analytical Hierarchy Process, and seasonal considerations for both warm and cold seasons. These risk maps demonstrate hotspots and hazardous areas that require more attention and planning to maintain the continuity of the supply chain. The results of this study can be used to enhance safety, reduce service disruptions, and ensure the smooth operation of the railway network.

Transportation Research Part D Transport and EnvironmentVol. 136
University of Regina (CA)
Natural Sciences and Engineering Research Council of Canada
Climate action
Openalex Percentile: Top 8%
Risk and Safety Analysis
3.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Meteorological risk assessment of Canadian transcontinental freight railway — Golam Kabir, Mehrnoush Bahramimehr · Transportation Research Part D Transport and Environment (2024) | TGRS Research Map | TGRS