Assessing the validity of mobile device data for estimating visitor demographics and visitation patterns in Yellowstone National Park
Assessing the validity of mobile device data for estimating visitor demographics and visitation patterns in Yellowstone National Park
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DOI：
10.1016/j.jenvman.2022.115410
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发表时间：
2022-06-10
影响因子：
8.7
通讯作者：
Chi, Guangqing
中科院分区：
文献类型：
--
作者：
Liang, Yun;Yin, Junjun;Chi, Guangqing
监控游客人口统计数据和时间访问模式可以帮助国家公园管理者了解游客并更有效地分配资源。传统方法，例如游客调查或车辆清点，受到时间、空间、劳动力和财力的限制。最近，在公园相关或旅游研究中，移动设备数据已被用于监测游客。然而，很少有研究通过传统的访客调查或计数数据来验证移动设备数据。本研究将移动设备数据与美国社区调查 (ACS) 相结合，通过三种方法评估了移动设备数据在国家公园背景下的有效性：兴趣点 (POI)、游客人口统计数据和时间访问模式。结果显示，黄石国家公园内只有一半的 POI 有效。与传统的访客调查相比，由于平台偏差和国际访客的排除，移动设备数据有限，导致访客人口统计数据存在差异，例如教育和收入水平。相反，移动设备数据与每月和每日访问模式的计数数据具有很强的相关性。结果表明，经过仔细考虑，移动设备数据可以作为传统调查数据的附加和补充信息源，以了解访客人口统计数据和时间访问模式。
Monitoring visitor demographics and temporal visitation patterns can help national park managers understand their visitors and allocate resources more effectively. Traditional approaches, such as visitor surveys or vehicle counts, are limited by time, space, labor, and financial resources. More recently, mobile device data have been adopted for monitoring visitors in park-related or tourism research. However, few studies validated mobile device data with traditional visitor surveys or count data. Combining mobile device data with the American Community Survey (ACS), this study assessed mobile device data's validity in a national park context with three approaches: Points of Interest (POIs), visitor demographics, and temporal visitation patterns. The results revealed that only half of the POIs inside Yellowstone National Park are valid. Compared to traditional visitor surveys, mobile device data are limited due to platform bias and the exclusion of international visitors, resulting in discrepancies in visitor demographics, such as education and income levels. Conversely, mobile device data have strong correlations with count data regarding monthly and daily visitation patterns. The results suggest that with careful consideration, mobile device data can serve as an additional and complementary source of information to traditional survey data for understanding visitor demographics and temporal visitation patterns.