ArticlePloS one2019
Smartphone GPS accuracy study in an urban environment.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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.
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.
Who cites it
44 citing papers in PubMed.
- Use of mobile data collection systems within large-scale epidemiological field trials: findings and lessons-learned from a vector control trial in Iquitos, Peru.BMC public health · 2022Trial
- Heart rate synchrony as a marker of real-world social engagement.PNAS nexus · 2026Article
- A method for planning cycling networks in traditional village contiguous areas using Wi-Fi probe-based attractiveness evaluation.Scientific reports · 2026Article
- Forest Therapy Trails: Development and Application of an Assessment Protocol.International journal of environmental research and public health · 2025Article
- Pixel 5 Versus Pixel 9 Pro XL-Are Android Devices Evolving Towards Better GNSS Performance?Sensors (Basel, Switzerland) · 2025Article
- 4D+ City Sidewalk: Integrating Pedestrian View into Sidewalk Spaces to Support User-Centric Urban Spatial Perception.Sensors (Basel, Switzerland) · 2025Article
- Examining trip-level errors in passively collected mobile device data for data quality assurance.PloS one · 2025Article
- Accuracy evaluation of smartphone-based GNSS position and speed tracking for ski-slope and safety management.PloS one · 2025Article
- POIFormer: A Transformer-Based Framework for Accurate Point-of-Interest Attribution.Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems · 2025Article
- Article
- A New Scene Sensing Model Based on Multi-Source Data from Smartphones.Sensors (Basel, Switzerland) · 2024Article
- Multimodal Image-Based Indoor Localization with Machine Learning-A Systematic Review.Sensors (Basel, Switzerland) · 2024Review
- Where is the heat threat in a city? Different perspectives on people-oriented and remote sensing methods: The case of Prague.Heliyon · 2024Article
- Portable Sensors for Dynamic Exposure Assessments in Urban Environments: State of the Science.Sensors (Basel, Switzerland) · 2024Article
- Detecting and Mitigating Attacks on GPS Devices.Sensors (Basel, Switzerland) · 2024Review
- ESMira: A decentralized open-source application for collecting experience sampling data.Behavior research methods · 2024Article
- Smartphone and Wearable Device-Based Digital Phenotyping to Understand Substance use and its Syndemics.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2024Article
- Assessing a GPS-Based 6-Minute Walk Test for People With Persistent Pain: Validation Study.JMIR formative research · 2024Article
- Wearables for persons with blindness and low vision: form factor matters.Assistive technology : the official journal of RESNA · 2024Article
- A Mobile Health Application Using Geolocation for Behavioral Activity Tracking.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An iPhone 6 using the Avenza software for capturing horizontal positions was employed to understand relative positional accuracy in an urban environment, during two seasons of the year, two times of day, and two perceived WiFi usage periods. On average, time of year did not seem to influence the average error observed in horizontal positions when GPS-only (no WiFi) capability was enabled, nor when WiFi was enabled. Observations of average horizontal position error only seemed to improve with time of day (afternoon) during the leaf-off season. During each season and during each time of day, horizontal position error seemed to improve in general during perceived high WiFi usage periods (when more people were present). Overall average horizontal position accuracy of the iPhone 6 (7-13 m) is consistent with the general accuracy levels observed of recreation-grade GPS receivers in potential high multi-path environments.
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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.