This TRIAL DATASET includes the projected count of users commuting through specific Routes in the US – South region for a single day. Routes are represented using OpenStreetMap’s Way IDs. High-density user mobility data is sourced from mobile carriers (600 location pings per day) and mobile apps (location ping every 10 mins). Mobility data is further clustered across space and time to identify likely periods and points of continuous dwell. The clustered locations are layered on OpenStreetMaps to infer likely travel paths and transportation modality between clusters. This intelligence provides deep travel and transit related insights – origins, destinations, path taken, distance traveled, time taken, at a macro and micro level in the US – South region. TruFactor derives the projected counts from observed counts that have been filtered for exclusion and anonymized to ensure users can not be re-identified. Values are extrapolated from US Census data using our proprietary algorithm. For the avoidance of doubt, this dataset does not include user level data.
* Available for ~2.8M routes per day
* Source – Carrier Network Location, Mobile App Location
# Key Benefits
* High quality telco carrier data (that powers Emergency Response systems) augmented with mobile app signals, results more accurate clusters of Dwell and Activity
* Delivers advanced computations (Routes)
# Use Cases
* Traffic and Transit analysis
* Journey Mapping (Travel Path)
* Origin and Destination patterns
# Verticals
* Retail
* Real Estate
* Urban Planning and Transportation
# About TruFactor Intelligence
* Privacy and Security TruFactor meets the most rigorous standards of security, privacy, and compliance. TruFactor has collaborated with consumer advocacy groups and incorporated guidelines from multiple federal agencies to define industry-leading practices for data governance. Please see details at https://trufactor.io/data-privacy-and-security
* Carrier-based Combines data from mobile telecommunication carriers, SDK partners, and first-party application partnerships to deliver integrated and uniform view of consumers across physical and digital behavior. Data sources are evaluated against robust criteria of Accuracy, Density, Variety, Density, Lineage, Consent, Scale, and Retention.
* Intelligence-as-a-Service The TruFactor platform converts raw signals into application-ready consumer intelligence via: Data Ingestion and Anonymization, Transformation and Structuring, and AI and Optimization Engine.
# Data Schema
Data Format: Parquet
Compression: Snappy
“`
{
“way_id”: “5307969”,
“users”: “14563145”
}
“`
way_id: A Way in OSM represents an ordered set of nodes and could represent Open Ways (roads, railway lines, streams), Closed Ways (roundabouts or circular walks) or an Area (polygonal shape). The Way IDs referred to in this dataset would be roads, including motorways, tracks and trails
users: An extrapolated population count for each Route basis a proprietary algorithm
For additional information, please contact <clientservices@trufactor.io>
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| Heapery Attribution License | Heapery-Private |
| Category | Geospatial |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Dataset is free and provided as-is |
