使用移动设备位置数据来估计对公共土地的访问:将设备位置数据与美国国家公园管理局的访客使用统计数据进行比较
Wei-Lun Tsai1, Nathaniel H Merrill2, Anne C Neale1
1United States Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Public Health and Environmental Systems Division, Research Triangle Park, North Carolina, United States of America.
PloS one
|November 9, 2023
概括
手机位置数据可以估计公共土地访问量,为传统计数提供可扩展的替代方案. 虽然对标志性公园有效,但准确性各不相同,突出显示了资源管理的数据限制.
科学领域:
- 生态生态学 生态生态学
- 保护科学 保护科学
- 自然资源的人类维度
背景情况:
- 准确的人类访问数据对于管理公共土地和资源至关重要.
- 收集参观数据的传统方法在大型规模和各种土地管理机构中往往具有挑战性.
- 蜂设备位置数据为大规模的人类活动模式绘制提供了一个潜在的解决方案.
研究的目的:
- 评估使用商业蜂数据来估计公共土地访问的有效性和局限性.
- 为了比较手机衍生的访问估计与国家公园管理局 (NPS) 的地面真相数据.
- 调查公园属性如何影响手机数据的准确性,以估计参观人数.
主要方法:
- 使用的NPS月度访问者使用计数 (2018-2019) 作为地面真相数据.
- 开发了使用来自移动设备位置数据的月度访问者数量的访问模型.
- 纳入共变量,如公园单位类型,多孔性和公园设置 (城市/非城市,标志性/本地).
- 采用皮尔森的相关性和通用线性混合模型来评估数据可靠性.
主要成果:
- 在38个公园中,在20个公园中观察到NPS和细胞数据计数之间的强相关性 (r > 0.8).
- 细胞数据解释了NPS计数的显著变化 (条件R平方=0.96).
- 模型性能在各个公园各不相同,在标志性公园中通常会发现更高的准确性.
- 在8个公园中观察到较低的相关性 (r < 0.5),这表明了局限性.
结论:
- 商业上可用的蜂数据显示,对估计公共土地访问量,特别是对标志性网站的估计有前途.
- 手机数据的准确性用于访问估计受公园特征的影响.
- 需要进一步的研究来解决在公共土地管理中广泛应用的局限性和挑战.
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