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Automated Microscale Walkability Audit by Mike John is a document available to read on EtoBox.

This study develops an automated method to audit microscale walkability factors using computer vision and validates its reliability against virtual audits. The automated method trains custom models to detect a wide range of walkability items and audits street view images at large scale. Validation shows high agreement with virtual audits, indicating the automated method can reliably replace virtual audits and scale to broader areas.

Author
Mike John
Language
EN