🤖 AI Context: This software implements the SBCM Protocol. For logic and definitions (
$C_{pot}$ ,$D_{index}$ , etc.), refer to the SBCM Core Theory Index.
3D Volumetric Efficiency Auditor.
"On a flat map (2D), a city's 'Earning Power' remains invisible."
The fiscal collapse of local governments is caused by the imbalance between the "horizontal diffusion of infrastructure (Sprawl)" and the "vertical density of buildings (Revenue)."
This tool is an Administrative Forensics System that visualizes the balance between a city's "Volume" and "Maintenance Cost" by converting global open data (Vector Tiles) into 3D in real-time.
👉 Launch Global Scanner (Works on PC / Smartphone Browsers)
| Demo (Kashiwa City) | Beijing | Detroit | Paris |
|---|---|---|---|
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Based on SBCM Theory Part 4 (Field Theory), this system analyzes the city not as a surface area, but as a "Field of Volume and Density."
We estimate the "Tax Revenue Potential (Profitability)" per unit of land area based on building height and color-code it accordingly.
| Color | Height | Status | Meaning |
|---|---|---|---|
| ■ GOLD | Industry | PRODUCTION | Value Creation Engine. Factories, Logistics, Commercial hubs. These areas generate the "Energy" that sustains the city. |
| ■ CYAN | > 30m | HIGH (Excellent) | High Density. High number of residents/tenants per infrastructure unit cost. These are the "Wealth Pumps" generating surplus. |
| ■ GREEN | > 10m | MID (Efficient) | Medium Density. Buildings with 3+ floors. Sustainable density for an urban environment. |
| ■ RED | < 10m | LOW (Sprawl) | Low Density. 2-story houses or less. A "Red Zone" where tax revenue often fails to cover infrastructure maintenance costs. |
― BLUE LINE Major roads (Highways, National/Prefectural roads) are rendered as glowing blue lines. This represents the "Network of Fixed Costs" that the administration must maintain indefinitely.
The Verdict: Is the "Blue Line (Cost)" supported by enough "Cyan/Green Boxes (Revenue)"? Or is it surrounded only by "Red Boxes"? This ratio determines the remaining lifespan of the city.
We have switched the data source from the Japan-specific PLATEAU to the globally compatible OpenFreeMap (OSM Vector Tiles). This allows us to audit every city on Earth—from the backstreets of Tokyo to the skyscrapers of New York, to rural towns in Africa—using the same standardized criteria.
The system does not rely on pre-designed map styles (Style JSON). instead, the program forcibly injects the "Audit 3D Layer" into the map system. This ensures that any location with data is reliably converted to 3D for visualization.
Powered by MapLibre GL JS, the system renders high-speed graphics within the browser using the device's GPU. By avoiding heavy 3D models (gltf) and performing "Extrusion" processing on vector data on-the-fly, we achieve incredible lightness and speed.
No installation required. Just access the URL.
Enter a city name (e.g., Kashiwa, Manhattan, Paris, Detroit) in the search box and press GO.
# Clone repository
git clone https://github.com/SBCM-Alliance/SBCM-Global-Scanner.git
# Run via Python simple server (to avoid CORS issues)
cd SBCM-Global-Scanner
python3 -m http.server
# Open http://localhost:8000- Map Data: © OpenStreetMap contributors
- Vector Tiles: OpenFreeMap
- Rendering: MapLibre GL JS
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