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Evaluating Mobility Data for Recreation Monitoring

Cameron Duff et al.

Land Economics2026https://doi.org/10.3368/le.102.3.011626-0006article
AJG 3ABDC A
Weight
0.50

Abstract

Mobile device location data (or mobility data, MD) are a novel and exciting source of information for recreational monitoring. In this paper we analyze datasets from four commercial vendors across three case studies to illustrate some important challenges. Our results show inconsistent spatial-temporal patterns and correlations with on-site counts. Given this evidence, we describe a conceptual model of the potential sources of error and structural variability in visitation estimates derived from MD. We discuss approaches for evaluation of data quality and suggest a range of supplemental data products that vendors could provide to support recreation analysis.

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https://doi.org/https://doi.org/10.3368/le.102.3.011626-0006

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@article{cameron2026,
  title        = {{Evaluating Mobility Data for Recreation Monitoring}},
  author       = {Cameron Duff et al.},
  journal      = {Land Economics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.3368/le.102.3.011626-0006},
}

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Evaluating Mobility Data for Recreation Monitoring

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.