ArticlePloS one2020
Using data derived from cellular phone locations to estimate visitation to natural areas: An application to water recreation in New England, USA.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 50 citations in OpenAlex.
- Modeling recreational visitation at Bureau of Land Management sites.Scientific reports · 2026Article
- A national model for estimating United States public land visitation.Scientific reports · 2025Article
- The value of water quality for coastal recreation in New England, USA.Agricultural and resource economics review · 2024Article
- Article
- Exclusionary Effects of Campsite Allocation through Reservations in U.S. National Parks: Evidence from Mobile Device Location Data.Journal of park and recreation administration · 2022Article
- Coastal Recreation in Southern New England: Results from a Regional Survey.Journal of ocean and coastal economics · 2022Article
- Big data from a popular app reveals that fishing creates superhighways for aquatic invaders.PNAS nexus · 2022Article
- Evaluating water quality impacts on visitation to coastal recreation areas using data derived from cell phone locations.PloS one · 2022Article
- Variation of population density on a beach: A simple analytical formulation.Ocean & coastal management · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce and validate the use of commercially available human mobility datasets based on cell phone locations to estimate visitation to natural areas. By combining this data with on-the-ground observations of visitation to water recreation areas in New England, we fit a model to estimate daily visitation for four months to more than 500 sites. The results show the potential for this new big data source of human mobility to overcome limitations in traditional methods of estimating visitation and to provide consistent information at policy-relevant scales. However, the data providers' opaque and rapidly developing methods for processing locational information required a calibration and validation against data collected by traditional means to confidently reproduce the desired estimates of visitation. We found that with this calibration, the high-resolution information in both space and time provided by cell phone location-derived data creates opportunities for developing next-generation models of human interactions with the natural environment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.