GroupBWT

, scooters, bikes, or compact EV rentals). It contains detailed, structured information about each available vehicle at the time of extraction, including: 🗺️ Geolocation & Positioning: Vehicle latitude and longitude, proximity center coordinates, auto-ring and proximity radii, remaining range in miles. 💰 Pricing Information: Hire price, price per minute, and additional dynamic pricing metadata.

🚗 Vehicle & App Attributes: Title, type, app/platform name, vehicle availability logic, and available actions. 📊 Usage Context & Distance Logic: Distance remaining, distance to proximity center, and assigned range category. Use Case Examples 🔍 Urban Mobility Analytics: Track availability and distribution of vehicles by zone, provider, and proximity logic.

📈 Pricing Optimization: Analyze pricing strategies per distance, location, or time of day. 🌍 Geospatial Modeling: Use in simulations, heatmaps, or coverage analysis for smart cities and transportation planning. 🤖 Machine Learning Features: Feed into demand forecasting models, pricing recommendation engines, or geofencing behavior predictors.

📡 Mobility Platform Benchmarking: Compare how different apps implement vehicle availability logic and pricing rules. Sample Size & Customization This sample features 1,000 records of Lime e-scooters available in the City of London. We offer full customization based on your project needs, including: Data volume (up to full-scale vehicle availability datasets), Update frequency (daily, weekly, or near real-time), Schema adaptation or field selection.

com, BinBin, Marty Technologies, Bird, Circ, Veo, Wheels, nextbike, HOP, NAVEE TECH. Need a specific service or app not listed above? We can expand the source list to include additional platforms relevant to your project .

📩 Contact us to define your data needs — our team can create a custom Snowflake listing tailored to your specific use case and schema preferences.