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<p>This paper introduces the BostonWalks (BWS) study, detailing its methodology, the resulting dataset, and an initial analysis. The BWS study is a smartphone-based GNSS-tracking study in the Boston metropolitan area, designed to generate an up-to-date dataset on travel behavior, with a particular focus on non-auto travel behavior and its representativeness across all population segments. The dataset encompasses approximately 155,000 trips from 990 participants, making it one of the most extensive datasets of its kind in North America. It includes both raw trajectory data and comprehensive socio-demographic information about participants. The paper outlines the survey methodology, including the technical infrastructure, recruitment strategy, and data processing techniques. A comparison of the socio-demographic and travel behavior characteristics of BWS participants with those from the National Household Travel Survey is provided. Lastly, the paper highlights the richness of the data through correlation and cluster analysis.</p>

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The BostonWalks study: a longitudinal travel survey using smartphone tracking

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月28日

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  • Adrian Meister,
  • Nail F. Bashan,
  • Rounaq Basu,
  • Xianglu Shen,
  • Ryan Q. Wang,
  • Andres Sevtsuk

摘要

This paper introduces the BostonWalks (BWS) study, detailing its methodology, the resulting dataset, and an initial analysis. The BWS study is a smartphone-based GNSS-tracking study in the Boston metropolitan area, designed to generate an up-to-date dataset on travel behavior, with a particular focus on non-auto travel behavior and its representativeness across all population segments. The dataset encompasses approximately 155,000 trips from 990 participants, making it one of the most extensive datasets of its kind in North America. It includes both raw trajectory data and comprehensive socio-demographic information about participants. The paper outlines the survey methodology, including the technical infrastructure, recruitment strategy, and data processing techniques. A comparison of the socio-demographic and travel behavior characteristics of BWS participants with those from the National Household Travel Survey is provided. Lastly, the paper highlights the richness of the data through correlation and cluster analysis.