Evidence map›Paper›PMID 36520687›Full record

ArticlePLoS computational biology2022

Using smartphone-GPS data to quantify human activity in green spaces.

Alessandro Filazzola, Garland Xie, Kimberly Barrett, Andrea Dunn, Marc T J Johnson, James Scott MacIvor

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alessandro FilazzolaCentre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada.ORCID 0000-0001-6544-2035
Garland XieCentre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada.ORCID 0000-0002-7125-7386
Kimberly BarrettConservation Halton, Burlington, Ontario, Canada.
Andrea DunnConservation Halton, Burlington, Ontario, Canada.
Marc T J JohnsonCentre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada.
James Scott MacIvorCentre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada.ORCID 0000-0002-2443-8192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cities are growing in density and coverage globally, increasing the value of green spaces for human health and well-being. Understanding the interactions between people and green spaces is also critical for biological conservation and sustainable development. However, quantifying green space use is particularly challenging. We used an activity index of anonymized GPS data from smart devices provided by Mapbox (www.mapbox.com) to characterize human activity in green spaces in the Greater Toronto Area, Canada. The goals of our study were to describe i) a methodological example of how anonymized GPS data could be used for human-nature research and ii) associations between park features and human activity. We describe some of the challenges and solutions with using this activity index, especially in the context of green spaces and biodiversity monitoring. We found the activity index was strongly correlated with visitation records (i.e., park reservations) and that these data are useful to identify high or low-usage areas within green spaces. Parks with a more extensive trail network typically experienced higher visitation rates and a substantial proportion of activity remained on trails. We identified certain land covers that were more frequently associated with human presence, such as rock formations, and find a relationship between human activity and tree composition. Our study demonstrates that anonymized GPS data from smart devices are a powerful tool for spatially quantifying human activity in green spaces. These could help to minimize trade-offs in the management of green spaces for human use and biological conservation will continue to be a significant challenge over the coming decades because of accelerating urbanization coupled with population growth. Importantly, we include a series of recommendations when using activity indexes for managing green spaces that can assist with biomonitoring and supporting sustainable human use.

Indexed as

Parks, RecreationalSmartphoneCitiesHuman ActivitiesHumansUrbanization

Identifiers

PMID36520687
PMCPMC9754188

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.