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What does predicting the impact of a hurricane on a trucking route exemplify?

Risk assessment

Big data analysis

The scenario of predicting the impact of a hurricane on a trucking route is best represented by risk assessment. This involves evaluating potential events that could disrupt logistics, such as natural disasters, and determining their effects on transportation routes. Risk assessment focuses on identifying, analyzing, and prioritizing risks to mitigate adverse effects, making it essential for planning safe and efficient logistics during emergencies.

While big data analysis may play a role in gathering and processing the vast amounts of data related to weather patterns and trucking routes, the core example here centers around the proactive evaluation of the risks posed by a hurricane. Logistical planning and environmental simulation are relevant concepts, but the essence of the prediction focuses on assessing risk to ensure that trucking operations can adapt to the impending hurricane's effects.

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Logistical planning

Environmental simulation

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