About the Dataset

Dataset Image

In our cities, unsustainable transportation practices have been a source of pollution, extended travel times, and diminished quality of urban life. In response, local governments are increasingly promoting active modes of transportation and transit-oriented development. Within this context, walking has emerged as a significant aspect of urban planning, as it facilitates healthier and more sustainable lifestyles and contributes to more livable cities.

The BostonWalks study is a smartphone-based GPS tracking initiative in the Boston metropolitan area, designed to generate an up-to-date dataset on travel behavior, with a particular focus on non-automobile travel and its representation across all population segments. The dataset comprises approximately 155,000 trips from 990 participants, making it one of the most extensive of its kind in North America. Utilizing state-of-the-art data processing methods, we achieved high accuracy and reliability in documenting trip details such as mode of transport, duration, and distance. Originally designed to support equitable and sustainable urban planning, the dataset is also valuable for a wide range of applications, including transportation modeling, public health studies, and social behavior analysis.

Large-scale Dataset

The dataset includes:

  • 990 participants from Boston Metropolitan Area
  • 23 days median tracking time
  • 235k track and 172k stay events

High Quality and Variety

The dataset features:

  • Detailed trajectory waypoints
  • Comprehensive sociodemographic indicators
  • State-of-the-art accuracy

Enriched
Data

Pre-extracted information includes:

  • Mode detection (among car, walking, biking, rail transit, and airplane)
  • Spatial and temporal patterns
  • Trip purpose analysis
Description of Image

We focused on the inner core of the Boston metropolitan area for this study.

The study region comprises 21 cities and towns, which form the Inner Core Committee (ICC) subregion

Download the format description here.

Citation

Paper Image 1 Paper Image 2 Paper Image 3

A preprint on ssrn.com is available here. To reference the dataset, please use:

				Meister, Adrian and Bashan, Nail and Basu, Rounaq and Shen, Xianglu and Wang, Qi and Sevtsuk, Andres, The BostonWalks Study: A Longitudinal Travel Survey using Smartphone Tracking (October 01, 2024). Available at SSRN: https://ssrn.com/abstract=4974824 or http://dx.doi.org/10.2139/ssrn.4974824
            

Contact

Please fill this form form to have access to our dataset

Contact us by e-mail: bostonwalkingstudy@gmail.com

A research project by

Massachusets Institute of Technology - Logo

Massachusets Institute of Technology

City Form Lab

Northeastern University - Logo

Northeastern University

Ryan Wang Lab