Deriving weeklong activity-travel dairy from Google Location History: survey tool development and a field test in Toronto.
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| Title: | Deriving weeklong activity-travel dairy from Google Location History: survey tool development and a field test in Toronto. |
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| Authors: | Li, Melvyn1 (AUTHOR) melvyn.li@utoronto.ca, Wang, Kaili1 (AUTHOR) jackkaili.wang@mail.utoronto.ca, Liu, Yicong1 (AUTHOR) nora.liu@mail.utoronto.ca, Nurul Habib, Khandker1 (AUTHOR) khandker.nurulhabib@utoronto.ca |
| Source: | Transportation. Jun2026, Vol. 53 Issue 3, p1085-1106. 22p. |
| Subjects: | Location data, Transportation demand management |
| Geographic Terms: | Toronto (Ont.), Canada |
| Abstract: | This paper introduces an innovative travel survey methodology that utilizes Google Location History (GLH) data to generate travel diaries for transportation demand analysis. By leveraging the accuracy and omnipresence among smartphone users of GLH, the proposed methodology avoids the need for proprietary GPS tracking applications to collect smartphone-based GPS data. This research utilizes the existing travel survey software, TRavel Activity Internet Survey Interface (TRAISI), which allows for the design and implementation of surveys through highly modular and customizable components. A new module was developed within this software to serve as a repository for GLH, enabling the derivation of activity-travel diaries from each respondent's GLH. The feasibility of this data collection approach is showcased through the Google Timeline Travel Survey (GTTS) conducted in the Greater Toronto Area, Canada. The resultant dataset from the GTTS is demographically representative and offers detailed and accurate travel behavioural insights. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | This paper introduces an innovative travel survey methodology that utilizes Google Location History (GLH) data to generate travel diaries for transportation demand analysis. By leveraging the accuracy and omnipresence among smartphone users of GLH, the proposed methodology avoids the need for proprietary GPS tracking applications to collect smartphone-based GPS data. This research utilizes the existing travel survey software, TRavel Activity Internet Survey Interface (TRAISI), which allows for the design and implementation of surveys through highly modular and customizable components. A new module was developed within this software to serve as a repository for GLH, enabling the derivation of activity-travel diaries from each respondent's GLH. The feasibility of this data collection approach is showcased through the Google Timeline Travel Survey (GTTS) conducted in the Greater Toronto Area, Canada. The resultant dataset from the GTTS is demographically representative and offers detailed and accurate travel behavioural insights. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00494488 |
| DOI: | 10.1007/s11116-024-10523-3 |
