Mapping urban greenspace use from mobile phone GPS data

• Published in: PloS one 2021-07, Vol.16 (7), p.e0248622
• Main Authors: Mears, Meghann, Brindley, Paul, Barrows, Paul, Richardson, Miles, Maheswaran, Ravi
• Format: Article
• Language: English
• Subjects: Accuracy; Adolescent; Adult; Aged; Benefits; Biology and Life Sciences; Cartography; Cell Phone - statistics & numerical data; Cell phones; Cellular telephones; Cities; Computer and Information Sciences; Cultural heritage; Data; Demographics; Demography; Deprivation; Earth Sciences; Ecology and Environmental Sciences; Engineering and Technology; Ethnicity; Evaluation; Female; Geographic Information Systems; Global Positioning System; Global positioning systems; GPS; Green infrastructure; Health; Humans; Landscape architecture; Machine learning; Male; Medicine and Health Sciences; Methods; Middle Aged; Minority & ethnic groups; Mobile Applications; Mobile phones; Open spaces; People and Places; Quantitative analysis; Quantitative research; Research and Analysis Methods; Residents; Social research; Social Sciences; Spatial data; Travel; United Kingdom; Urban planning; Urban Population; Well being; Young Adult
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0248622

Urban greenspace is a valuable component of the urban form that has the potential to improve the health and well-being of residents. Most quantitative studies of relationships between health and greenspace to date have investigated associations only with what greenspace exists in the local environment (i.e. provision of greenspace), rather than to what extent it is used. This is due to the difficulty of obtaining usage data in large amounts. In recent years, GPS functionality integrated into mobile phones has provided a potential solution to this problem by making it possible to track which parts of the environment people experience in their day-to-day lives. In this paper, we demonstrate a method to derive cleaned, trip-level information from raw GPS data collected by a mobile phone app, then use this data to investigate the characteristics of trips to urban greenspace by residents of the city of Sheffield, UK. We find that local users of the app spend an average of an hour per week visiting greenspaces, including around seven trips per week and covering a total distance of just over 2.5 km. This may be enough to provide health benefits, but is insufficient to provide maximal benefits. Trip characteristics vary with user demographics: ethnic minority users and users from more socioeconomically deprived areas tend to make shorter trips than White users and those from less deprived areas, while users aged 34 years and over make longer trips than younger users. Women, on average, make more frequent trips than men, as do those who spent more time outside as a child. Our results suggest that most day-to-day greenspace visits are incidental, i.e. travelling through rather than to greenspace, and highlight the importance of including social and cultural factors when investigating who uses and who benefits from urban greenspace.