However, precisely establishing non-daily travel information using conventional travel diary surveys with the existing self-survey technique is impossible. A attainable resolution is using social media, which is widely used, as an information source. Users upload various posts describing their leisure travels on social media, which embody both structured knowledge, such as posting date and location info, and unstructured data, such as content material and images. The objective of this research was to research the relationship between particular person habits and green transportation throughout leisure travel using location-based social media knowledge. Social media information had been collected utilizing an online crawler and annual transportation knowledge had been collected from the green transportation promotion areas in Seoul, Korea. A textual content mining method was utilized to the content of the posts to research the forms of leisure for each individual.
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