Inclusive Wayfinding Through NaviLens [supporting datasets]
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2026-01-01
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Abstract:MTA NaviLens Feedback Survey: Survey responses include overall satisfaction, agreement ratings about ease of use and information quality, recommendations, interest in expanding code coverage, comparisons to other wayfinding/travel apps, and open-ended comments. The survey also includes optional demographic questions (e.g., age range, typical transit use frequency, Access-A-Ride customer status, and disability identification) to help contextualize feedback. This survey supports evaluation of the NaviLens deployment and related project reporting, including work funded through the USDOT SMART Grant.
MTA NaviLens Usage Dataset: Navilens usage data contains records of scan events (each row represents a time a NaviLens code was scanned). Scan records include the code identifier, the type of asset scanned (e.g., bus stop, bus vehicle, subway station, train car, or vehicle feature), the app used (NaviLens vs. NaviLens GO), the device language setting at time of scan, and timestamps. For certain asset types, scan events are also enriched with location fields such as bus stop identifiers and names or subway station identifiers and names. This data supports evaluation of the NaviLens deployment and related project reporting, including work funded through the USDOT SMART Grant.
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Content Notes:These datasets additional data and software in a GitHub repository. This repository is accessible online: https://github.com/nymta/MTA-USDOT-SMART-Grant-Inclusive-Wayfinding-through-NaviLens-
Please cite as: Sciallis, Patrick, Philipson, M., and Singh, C. (2026). MTA NaviLens Feedback Survey [datasets]. https://doi.org/10.21949/ph7t-4944
Philipson, Mira and Singh, C. (2026). MTA NaviLens Usage Data [datasets]. doi.org/10.21949/ph7t-4944
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Main Document Checksum:urn:sha-512:b35884246bab907ae7c4b135e4a8386a4e0223de7d05856affc0e2f01917b1e93e176a38834e02193016cb7bcfb9e5d1aa69c616c2e767ccb5a0df3f78a27801
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