Whitepapers & Research

A methodology white-paper describing Neural City’s Street Evidence Model, a street-level data framework for outcome-oriented urban measurement. It documents the data sources, parameter frameworks, scoring logic, and interpretation rules used to evaluate aspects such as walkability, road quality, cleanliness, encroachment, and safety. The methodology is designed to be transparent, repeatable, and grounded in on-ground observation. 

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Format: PDF
Focus: Street-level urban assessment and scoring
Intended audience: Urban planners, city officials, researchers, and practitioners