Fueling the ecosystem. Every contribution drives open-source urban engineering and research.
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GridScore relies on foundational open-source scientific software, OpenStreetMap geodata, and academic research in transport engineering :
Geographic vector data, street network geometries, and POI node tags provided by OpenStreetMap contributors under Open Database License (ODbL).
Python graph theory frameworks created by Geoff Boeing & NetworkX developers for spatial multigraph construction, Dijkstra shortest paths, and isochrone extraction.
Non-linear volume-delay functions (t = t0[1 + alpha(V/C)^beta]) developed by the U.S. Bureau of Public Roads (1964) for urban traffic assignment.
Traffic signal timing delay equations and nodal friction models (Road Research Technical Paper No. 39, 1958).
Open-source JavaScript mapping engine by Volodymyr Agafonkin with high-contrast Voyager & Dark Matter raster basemaps by CARTO.
Canvas data visualization charts by Chart.js contributors and LaTeX math rendering engine by MathJax Consortium.
Inspired by the YouTube research study "Would hexagonal city blocks be better?" (webgoatguy, 2024), examining geometric reachability (Ac = 2t^2 vs Ah approx 1.95t^2) and intersection friction in urban planning.