Harnessing smartphones to track how people use green spaces

A new study demonstrates how anonymized GPS data from people’s smartphones can be used to monitor the public’s use of parks and other green spaces in urban areas, which could help inform their management. Alessandro Filazzola of ApexRMS and the University of Toronto, Mississauga, Canada, and colleagues present these findings in the open-access journal PLOS Computational Biology on December 15, 2022.

Parks and other green spaces in urban areas perform several key functions, including promotion of human physical and mental health, preservation of ecosystem biodiversity, and services such as stormwater management and heat reduction. People’s interactions with green spaces influence these functions, but it is challenging to capture human activity at a fine enough resolution to inform green space management. Anonymized GPS data from people’s smartphones could help address this challenge.

To demonstrate such an approach, Filazzola and colleagues analyzed anonymized smartphone data that captured people’s visits to 53 green spaces in the greater Toronto area in Canada, including parks, trail systems, and areas closed to the public for conservation purposes.

They found that the GPS data did indeed capture insights about people’s use of these green spaces, showing, for instance, that mobile device activity was strongly correlated with data on reservations made by people to access parks. The data also revealed which areas within green spaces had more or less human activity, with established trails being particularly popular. In addition, greater human presence was linked to certain types of land cover, such as rock formations, as well as certain tree species.

These findings highlight the potential for anonymized GPS smartphone data to help inform management of green spaces, especially as cities grow worldwide. Such efforts could optimize the benefits of green spaces for people while also preserving biodiversity.

The researchers note several challenges to this approach, such as some people’s tendency to disconnect from the mobile devices when visiting green spaces and the difficulty of distinguishing between a smart phone located within a green space versus passing in a car just outside the perimeter. Future research could address these issues and refine the methodology.

The authors add: “Access to parks is important for city residents for recreation, connecting to nature, and socialization, but it’s challenging to understand how people use these green spaces. Our study is using anonymized mobility data to help shed light on relationship between people and nature in parks.”

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In your coverage, please use this URL to provide access to the freely available article in PLOS Computational Biology: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010725

Citation: Filazzola A, Xie G, Barrett K, Dunn A, Johnson MTJ, MacIvor JS (2022) Using smartphone-GPS data to quantify human activity in green spaces. PLoS Comput Biol 18(12): e1010725. https://doi.org/10.1371/journal.pcbi.1010725

Author Countries: Canada

Funding: This research was funded by a Post-Doctoral Fellowship awarded to AF by the Center for Urban Environments and School of Cities at the University of Toronto, Canada. GX was funded by an Ontario Graduate Scholarship, a Center for Environmental Research in the Anthropocene Graduate Fellowship, and NSERC CREATE funding (# 401276521) awarded to JSM. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.