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Understanding travel behaviour and travel demand is of constant importance to transportation communities and agencies in every country. Nowadays, attempts have been made to automatically infer transportation modes from positional data, such as the data collected by using GPS devices so that the cost in time and budget of conventional travel diary survey(More)
Travel diaries are considered to be a very important source of information that benefits major applications such as travel behaviour analysis. They have also been proven to be a burden on users to maintain and recall exact details, as well as being slow, expensive and time consuming. However, the rise of Geoweb 2.0, crowd sourcing and user-generated content(More)
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