Park visitation and walkshed demographics in the United States
Linnell, Kelsey
Linnell, Kelsey
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Abstract
A large and growing body of research demonstrates the value of local parks to mental and physical well-being. Recently, researchers have begun using passive digital data sources to investigate equity in usage; exactly who is benefiting from parks? Early studies suggest that park visitation differs according to demographic features, and that the demographic composition of a park's surrounding neighborhood may be related to the utilization a park receives. Employing a data set of park visitations generated by observations of roughly 50 million mobile devices in the US in 2019, we assess the ability of the demographic composition of a park's walkshed to predict its yearly visitation. Predictive models are constructed using Support Vector Regression, LASSO, Elastic Net, and Random Forests. Our results suggest that the demographic composition of a park's walkshed demonstrates little to no utility for predicting visitation.
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Date
2022-01-01
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Graduate
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Mathematical Sciences
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College of Engineering and Mathematical Sciences
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Engineering & Physical Sciences
Social Sciences
Social Sciences