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This paper introduces an innovative travel survey methodology that utilizesGoogle Location History (GLH) data to generate travel diaries fortransportation demand analysis. By leveraging the accuracy and omnipresenceamong smartphone users of GLH, the proposed methodology avoids the need forproprietary GPS tracking applications to collect smartphone-based GPS data.This research enhanced an existing travel survey designer, Travel ActivityInternet Survey Interface (TRAISI), to make it capable of deriving traveldiaries from the respondents' GLH. The feasibility of this data collectionapproach is showcased through the Google Timeline Travel Survey (GTTS)conducted in the Greater Toronto Area, Canada. The resultant dataset from theGTTS is demographically representative and offers detailed and accurate travelbehavioural insights.

Deriving Weeklong Activity-Travel Dairy from Google Location History: Survey Tool Development and A Field Test in Toronto