在城市公园设置中使用移动位置数据应用位置系数方法:对公平性和公园规划的影响
Sammie L Powers1, Nicholas A Pitas2, William L Rice3
1School of Sport, Recreation, and Tourism Management, George Mason University.
概括
这项研究揭示了城市公园游客的社会人口统计数据如何因设施而异. 移动数据分析有助于识别服务缺口,以便公平地分配公园资源.
科学领域:
- 城市规划是城市规划.
- 环境正义 环境正义
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 了解城市公园参观对于公平的资源分配至关重要.
- 移动设备位置数据为分析访客模式提供了新的可能性.
- 社会人口统计学因素显著影响到公共空间的使用和使用.
研究的目的:
- 试验一种新的方法,将位置系数和比例比较与移动设备数据相结合.
- 分析城市公园的参观模式,基于参观者家乡地区的社会人口统计数据.
- 确定不同社会人口群体在公园设施使用中的潜在服务缺口.
主要方法:
- 利用移动设备的位置数据来追踪访客的来源.
- 应用位置系数和比例比较来分析人口统计数据 (种族,收入) 与设施使用情况.
- 检查了费城费尔蒙特公园特定设施的访问模式.
主要成果:
- 确定了特定的公园设施,来自特定社会人口群体的游客代表过多或不足.
- 在公园设施参观中记录了种族和收入之间的交叉关系.
- 在不同的公园特征中展示了使用模式的变化.
结论:
- 该方法有效地突出了公园设施使用的差异.
- 调查结果可以为公园管理人员提供有关服务不足的人群和服务缺口的信息.
- 支持以数据为导向,为城市公园分配公平的资源.
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