U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Atlantic Coastal Environmental Sciences Division, Narragansett, Rhode Island, United States of America.
Oak Ridge Associated Universities (ORAU), Oak Ridge, Tennessee, United States of America.
PLoS One. 2022 Apr 27;17(4):e0263649. doi: 10.1371/journal.pone.0263649. eCollection 2022.
Linking human behavior to environmental quality is critical for effective natural resource management. While it is commonly assumed that environmental conditions partially explain variation in visitation to coastal recreation areas across space and time, scarce and inconsistent visitation observations challenge our ability to reveal these connections. With the ubiquity of mobile phone usage, novel sources of digitally derived data are increasingly available at a massive scale. Applications of mobile phone locational data have been effective in research on urban-centric human mobility and transportation, but little work has been conducted on understanding behavioral patterns surrounding dynamic natural resources. We present an application of cell phone locational data to estimate the effects of beach closures, based on measured bacteria threshold exceedances, on visitation to coastal access points. Our results indicate that beach closures on Cape Cod, MA, USA have a significant negative effect on visitation at those beaches with closures, while closures at a sample of coastal access points elsewhere in New England have no detected impact on visitation. Our findings represent geographic mobility patterns for over 7 million unique coastal visits and suggest that closures resulted in approximately 1,800 (0.026%) displaced visits for Cape Cod during the summer season of 2017. We demonstrate the potential for human-mobility data derived from mobile phones to reveal the scale of use and behavior in response to changes in dynamic natural resources. Potential future applications of passively collected geocoded data to human-environmental systems are vast.
将人类行为与环境质量联系起来对于有效的自然资源管理至关重要。虽然人们普遍认为环境条件部分解释了沿海娱乐区在空间和时间上的访问量变化,但稀缺和不一致的访问量观测结果挑战了我们揭示这些联系的能力。随着移动电话使用的普及,越来越多的新型数字化衍生数据以大规模的方式可用。移动电话位置数据的应用在研究以城市为中心的人类流动性和交通方面非常有效,但在理解围绕动态自然资源的行为模式方面的工作却很少。我们提出了一种应用手机位置数据的方法,该方法基于测量的细菌阈值超标,来估计海滩关闭对沿海通道点访问量的影响。我们的结果表明,美国马萨诸塞州科德角的海滩关闭对关闭海滩的访问量有显著的负面影响,而在新英格兰其他地方的一些沿海通道点的关闭对访问量没有检测到影响。我们的研究结果代表了超过 700 万次独特的沿海访问的地理流动性模式,并表明在 2017 年夏季,科德角的海滩关闭导致了大约 1800 次(0.026%)的游客流失。我们展示了从移动电话中提取的人类移动数据揭示动态自然资源变化下使用和行为规模的潜力。被动收集地理编码数据在人类环境系统中的潜在未来应用是广泛的。