Using Street View Imagery to Examine the Relationship between Perception of Park Environments and Time Spent in Parks

Keywords: park, greenspace, perceptions of park environment, street view
Session Type: Virtual Paper Abstract
Day: Friday
Session Start / End Time: 2/25/2022 03:40 PM (Eastern Time (US & Canada)) - 2/25/2022 05:00 PM (Eastern Time (US & Canada))
Room: Virtual 64

Abstract

Much research has shown that urban parks can benefit human health. Perceptions of the park environment can affect park use. While important, much of the perception-based research gathers data through costly survey research, which limits data collections on a large scale. Street view imagery (SVI) is relatively cost-effective for deriving perceptions of the park environment: for large parks, SVIs are available on both peripheral roads and internal roads; for small parks, majorly covered by grassland, SVIs on peripheral roads can capture their general built environment. Taking Chicago as the case study, this research uses Google SVIs and a machine-learning algorithm to derive the perceived safety and beautifulness of park environments. This study explores the relationship between perception variables and time spent in parks obtained from phone-based data. Further analyses will be built to explore the relationship between perceptions of the park environment and time spent in parks.