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.

中文翻译：

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将位置商方法应用于具有移动位置数据的城市公园设置：对公平和公园规划的影响


在这项研究中，我们尝试了一种与移动设备位置数据相结合的位置商和比例比较方法的新颖使用。具体来说，我们以美国宾夕法尼亚州费城费尔蒙特公园为例，试图根据游客家乡的社会人口统计数据来了解城市公园环境中的访问模式。我们检查了各种公园设施（例如游乐场、球场、戏水池）中游客的家乡人口统计数据（即非裔美国人和家庭收入中位数的百分比），使用区位商和比例分析将游客的家乡人口统计数据与为公园游客整体提供的特定设施。调查结果表明，来自某些社会人口群体的游客比例过高或过低，双变量分析记录了种族和收入之间的交叉性。此类分析的结果可以帮助公园管理者了解特定设施的使用情况以及历史上服务不足的人群之间的服务差距，进而支持更公平的资源分配。