Applying location quotient methodology to urban park settings with mobile location data: Implications for equity and park planning

In this study, we pilot a novel use of location quotient and proportional comparison methodology paired with mobile device location data. Specifically, we sought to understand visitation patterns in an urban park context based on visitor home locale socio-demographics, using an example from Fairmount Park in Philadelphia, PA, USA. We examined visitors’ home locale demographics (i.e., percent African American and median household income) across a variety of park amenities (e.g., playgrounds, ball fields, splashpads), using location quotients and proportional analyses to compare the home locale demographics of visitors to specific amenities to park visitors as a whole. Findings illustrate amenities with over- or underrepresentation of visitors from certain socio-demographic groups, with bivariate analyses documenting intersectionality between race and income. Results of such analyses can aid park managers in understanding use of particular amenities and service gaps among historically underserved populations, and in turn, support more equitable resource allocation.