Patterns of human activity paired with census data for the largest city parks in Toronto, Canada

This dataset contains spatial and temporal data on urban parks and their usage in Toronto, Canada. It was used to examine how anonymized mobility data from Mapbox can help identify and reduce inequality in the availability and use of green spaces. The dataset consists of four files:<b>Toronto 2021 Census.shp</b>: A shapefile that contains census data for the park catchments in Toronto, including variables such as housing density and car ownership.<b>greenSpaceActivityWithWeather.csv</b>: A spreadsheet that contains the daily Mapbox activity value for each park, as well as the average temperature and total precipitation from local weather stations.<b>Simplified Large Parks.shp</b>: A shapefile that contains the polygons of the target parks used in the study, which are larger than 10 hectares and have more than 1000 visits per year.<b>Park amenities.csv</b>: A spreadsheet that contains the amenities available in each park, such as sports fields, transportation options, gardens, and playgrounds.The dataset supports a manuscript published in People and Nature titled: “Using anonymized mobility data to reduce inequality in the availability and use of urban parks”. The manuscript presents the methods and results of the analysis, as well as the implications and recommendations for urban planning and policy.