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Climate change and global warming force countries to lower their CO2 emission level. Emission is mostly from three sectors, namely industrial, household and transportation sectors. The effort to reduce emission from transportation sector leads to the change in freight transportation. Extreme weather would induce high level of change in freight transportation and supply chain of goods. Freight transportation behavior should show substantial change in a variety of aspects. The paper aims to provide a methodological foundation to capture typical patterns of change in freight travel behavior in response to extreme weather. The paper introduces sequence alignment methods and illustrates how the methods identify clusters of homogeneous patterns of freight transportation behavior. The paper found the potential to apply the suggested methods to analyze freight transportation behavior that changes due to extreme weather.

A Study on Sequence Alignment Application to Analysis of the Extreme Weather’s Impact on Freight Transportation Behavior