Using Data Derived from Cellular Phone Locations to Estimate Visitation to Natural Areas: An Application to Water Recreation in New England, USA

Nathaniel Merrill, Sarina F. Atkinson, Kate K. Mulvaney, Marisa J. Mazzotta and Justin Bousquin

No 3nx2v, SocArXiv from Center for Open Science

Abstract: We introduce and validate the use of commercially-available datasets of human mobility based on cell phone locational data 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 over 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. 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. However, the opaque and rapidly developing methods for processing locational information by the data providers required a calibration and validation against data collected by traditional means to confidently reproduce the desired estimates of visitation.

Date: 2019-11-08
New Economics Papers: this item is included in nep-big
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:3nx2v

DOI: 10.31219/osf.io/3nx2v

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