Cognitive Accessibility in Wayfinding: A Mixed-Methods Audit of Sri Lankan Public Transport Terminals (Data Archive)

This dataset contains the mixed-methods audit data for the study "Cognitively Accessible Wayfinding in Sri Lankan Public Transport." The study evaluates the cognitive accessibility of major transport terminals (Railway Stations and Bus Terminals) in Sri Lanka against Universal Design (UD) and W3C COGA principles. The dataset includes: MDS-PIDS Quantitative Scores: Normalized 0-100% accessibility scores for 4 sites (N=4) across 5 cognitive domains (Signage, Consistency, Sensory, Wayfinding, Assistive). ICC Reliability Computations: Inter-Rater Reliability metrics (ICC 3,1 and ICC 2,1) validating the audit instrument. Thematic Analysis: A full audit trail of qualitative coding (Deductive/Inductive) derived from structured observations. Key Findings: The audit reveals a Grand Accessibility Gap exceeding 88% in the Wayfinding Support domain. The data evidences a "Prosthetic Model of Access," where infrastructural deficits are compensated for by social scaffolding (human assistance), confirming a state of occupational injustice in independent travel.