A Review of Research Progress in the Last Twenty Years in Risk Management of Hazardous Materials Transportation
DOI:
https://doi.org/10.51699/ajsld.v2i8.2360Keywords:
Transportation, Hazardous materials, Risk Assessment, Risk ModelAbstract
Hazardous materials transportation incidents have become more common in recent years, resulting in significant deaths and property damage. Researchers and policymakers have been looking at the risk assessment of hazardous materials transportation for a long time. In order to better identify important concerns, researchers are studying the research development of risk assessment of hazardous materials transportation. This study examines the current literature on risk assessment models and methodologies of hazardous materials transportation from 2001 to 2020, and categorizes the relevant research based on unimodal and multimodal transportation systems. Furthermore, an example is used to analyses the features of each risk assessment model of unimodal transportation, and a unique thorough categorization for risk assessment problems is provided. The findings show that research on the risk assessment model of hazardous material road transport is extensive, but research on railway and intermodal transport is lacking. In comparison to the classic risk assessment model, the conditional value-at-risk model provides decision-makers with a flexible decision-making framework that adjusts risk preference between risk neutrality and risk aversion. Because of the difficulties of obtaining door-to-door railway transit and the additional hazards associated with intermodal transportation, the conclusion that the risk of railway and multimodal hazardous material transportation is lower than that of road transportation is not universal. Transport operators and governments can combine the benefits of many modes of transport, such as low risk, low cost, high flexibility, and high dependability, to accomplish public safety and increase system competency. This study outlines existing trends and research gaps based on the suggested categorization and summarises future research priorities.