Big Data and Understanding Mobility in a City

The proliferation of fitness tracking technologies - in our watches, bracelets, phones and other devices - has exploded, as people eagerly monitor and record their daily activities. The MIT Senseable City Lab, in collaboration with Liberty Mutual Insurance, have analyzed and anonymized this data to better understand activity patterns in cities, presenting their findings through CityWays. CityWays is an interactive data visualization project, that allows users to easily map modes of transportation, weather, routes, frequency, age, and gender to urban locations.

On April 25th, CityWays received a 2018 Gold A' Design Award & Competition. A’ Design Awards center on creating awareness for good design practices and principles with the aim to build strong incentives for global designers to build better products, services and systems that benefit the global community. A’ Design Award & Competition highlights brands to creating products and projects that offer additional value, increased utility, new functionality, superior aesthetics, exceptional efficiency, improved sustainability and remarkable performance.

Through the data visualization of the big data created by citizens using personal fitness tracking technologies, CityWays expands the scope and detail of our understanding of how pedestrians, runners and cyclists move in the urban environment. By understanding how people move inside cities over time, we can develop more human-centered urban design, rooted within individual data.

Visit the CityWays site, featuring data from Boston, Massachusetts and San Francisco, California, here.

Learn more about Senseable City Lab, here.