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.

本文介绍了一种创新的旅行调查方法，该方法利用 Google 位置历史 (GLH) 数据生成旅行日记以进行交通需求分析。通过利用 GLH 智能手机用户的准确性和普遍性，所提出的方法无需使用专有的 GPS 跟踪应用程序来收集基于智能手机的 GPS 数据。这项研究利用了现有的旅行调查软件 TRavel Activity Internet Survey Interface (TRAISI)，该软件允许通过高度模块化和可定制的组件来设计和实施调查。该软件中开发了一个新模块，作为 GLH 的存储库，从而能够从每个受访者的 GLH 中导出活动旅行日记。通过在加拿大大多伦多地区进行的 Google Timeline Travel Survey (GTTS) 展示了这种数据收集方法的可行性。 GTTS 生成的数据集具有人口统计代表性，并提供详细且准确的旅行行为见解。