The BostonWalks study: a longitudinal travel survey using smartphone tracking

Abstract 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.

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Publication Details

Journal
Transportation
Published
2025-06-27
DOI
https://doi.org/10.1007/s11116-025-10637-2
Citations
4
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
8.71

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article

The BostonWalks study: a longitudinal travel survey using smartphone tracking

Rounaq Basu, Ryan Q. Wang, Nail F. Bashan, Andres Sevtsuk et al.
4 citations
Transportation
Urban Transport and Accessibility
8.71
article

The BostonWalks study: a longitudinal travel survey using smartphone tracking

Rounaq Basu, Ryan Q. Wang, Nail F. Bashan, Andres Sevtsuk, Adrian Meister, Xianglu Shen
article en
4 citations

Abstract

Abstract 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.

TransportationVol. 52(6)
Northeastern University (US), ETH Zurich (CH), The Metropolitan Opera (United States) (US), Massachusetts Institute of Technology (US)
National Science Foundation, Massachusetts Institute of Technology
Openalex Percentile: Top 3%
Urban Transport and Accessibility
8.71
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