Evaluating water quality impacts on visitation to coastal recreation areas using data derived from cell phone locations

• Published in: PloS one 2022-04, Vol.17 (4), p.e0263649-e0263649
• Main Authors: Furey, Ryan P, Merrill, Nathaniel H, Sawyer, Josh P, Mulvaney, Kate K, Mazzotta, Marisa J
• Format: Article
• Language: English
• Subjects: Bacteria; Beaches; Behavior; Biology and Life Sciences; Capes (landforms); Cell Phone; Cell phones; Cellular telephones; Earth Sciences; Ecology and Environmental Sciences; Engineering and Technology; Environmental conditions; Environmental protection; Environmental quality; Environmental science; Estimates; Evaluation; Human behavior; Humans; Mobility; Natural resource management; Natural Resources; Parks & recreation areas; Protection and preservation; Public access; R&D; Recreation; Recreation areas; Research & development; Resource management; Social Sciences; Tourism; Urban areas; Water Quality
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0263649

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.