README for MTA NaviLens Feedback Survey dataset. Strengthening Mobility and Revolutionizing Transportation (SMART) Program, U.S. Department of Transportation (USDOT) 2026-01-16 ---------------------------------------------------------------- LINKS TO DATASET ---------------------------------------------------------------- A. Dataset archive link: https://data.ny.gov/Transportation/MTA-NaviLens-Feedback-Survey/q2wi-uth2/about_data B. Final Dataset DOI: https://doi.org/10.21949/ph7t-4944 C. Data Management Plan DOI: https://doi.org/10.48321/D1R67H ---------------------------------------------------------------- SUMMARY OF DATASET ---------------------------------------------------------------- This dataset contains responses from the MTA NaviLens feedback survey, which collects customer feedback on NaviLens and NaviLens GO, two accessibility and wayfinding smartphone apps used with brightly colored NaviLens codes installed across select MTA subway stations, subway cars, bus stops, and buses. NaviLens is designed primarily for riders who are blind or have low vision by translating signage and wayfinding information into audio, while NaviLens GO provides similar information in a visual format and includes features such as upcoming arrivals, systemwide service status, and elevator/escalator status. ---------------------------------------------------------------- TABLE OF CONTENTS ---------------------------------------------------------------- A. General Information B. Sharing/Access & Policies Information C. Data and Related File Overview D. Methodological Information E. Data-Specific Information for: MTA NaviLens Feedback Survey F. Update Log ---------------------------------------------------------------- A. GENERAL INFORMATION ---------------------------------------------------------------- 0. Title of Dataset: MTA NaviLens Feedback Survey 1. Description of Dataset: 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. 2. Dataset archive link: https://data.ny.gov/Transportation/MTA-NaviLens-Feedback-Survey/q2wi-uth2/about_data 3. Authorship Information: Principal Data Creator or Data Manager Contact Information Name: Miriam Philipson ORCID: 0009-0007-9551-538X Institution: Metropolitan Transportation Authority (NY) Address: 2 Broadway, New York, NY 10004 Email: miriam.philipson@mtahq.org Associate Data Creator or Data Manager Contact Information Name: Patrick Sciallis ORCID: 0009-0001-8183-612X Institution: Metropolitan Transportation Authority (NY) Address: 2 Broadway, New York, NY 10004 Email: patrick.sciallis@mtahq.org Associate Data Creator or Data Manager Contact Information Name: Christine Singh ORCID: 0009-0004-8728-3505 Institution: Metropolitan Transportation Authority (NY) Address: 2 Broadway, New York, NY 10004 Email: christine.singh@mtahq.org Organizational Contact Information Name: Metropolitan Transportation Authority Accessibility Institution: Metropolitan Transportation Authority (NY) Address: 2 Broadway, New York, NY 10004 Email: opendata@mtahq.org 4. Date of data collection and update interval: May 2025-August 2025 5. Geographic location of data collection: New York, New York, United States of America 6. Information about funding sources that supported the collection of the data: This dataset package was funded through the USDOT Strengthening Mobility and Revolutionizing Transportation (SMART) Program. The grant number for this project is: SMARTFY22N1P1G45 ---------------------------------------------------------------- B. SHARING/ACCESS & POLICIES INFORMATION ---------------------------------------------------------------- 0. Recommended citation for the data: Sciallis, Patrick, Philipson, M., and Singh, C. (2026). MTA NaviLens Feedback Survey [datasets]. https://doi.org/10.21949/ph7t-4944 1. Licenses/restrictions placed on the data: These data are in the Public Domain. 2. Was data derived from another source?: Yes, feedback survey was hosted on Qualtrics.com 3. This dataset and its documentation was created and shared to meet the requirements enumerated in the U.S. Department of Transportation's "Plan to Increase Public Access to the Results of Federally-Funded Scientific Research" Version 1.1 << https://www.transportation.gov/sites/dot.gov/files/docs/Official%20DOT%20Public%20Access%20Plan%20ver%201.1.pdf >> and guidelines suggested by the DOT Public Access website << https://ntl.bts.gov/publicaccess/ >>, in effect and current as of April 10, 2019. ---------------------------------------------------------------- C. DATA & RELATED FILE OVERVIEW ---------------------------------------------------------------- 1. File List for the README.zip collection A. Filename: MTA_NaviLensFeedbackSurvey_Overview.pdf Short description: A PDF file of a general description and summary of NaviLens feedback survey dataset. B. Filename: MTA_NaviLensFeedbackSurvey_DataDictionary.pdf Short description: A PDF file of a list of all data labels found in survey data with description and data type. C. Filename: MTA_NaviLens_Feedback_Survey_20260115.csv Short description: A CSV file of all recorded data of all responses from May to August 2025 to each question in the survey for both NaviLens and NaviLens GO apps. C. Filename: MTA_NaviLensFeedbackSurvey_Flow.pdf Short description: A PDF file of a blank copy of the feedback survey questions for both NaviLens and NaviLens GO apps. ---------------------------------------------------------------- D. METHODOLOGICAL INFORMATION ---------------------------------------------------------------- 1. Description of methods used for collection/generation of data: Survey data are collected through an online questionnaire, hosted via Qualtrics. It includes both completed and partially completed responses. MTA Responses follow survey logic (skip patterns) based on which app(s) the respondent selected and where they reported using the app (e.g., subway station/train vs. bus stop/bus), so not all columns apply to every response. Operationally, NaviLens codes were deployed at select locations (including listed Manhattan and Bronx subway stations and on routes such as Bx12/Bx12-SBS, M23 SBS, and M66), and the survey is intended for customers who used NaviLens in these environments. ---------------------------------------------------------------- E. DATA-SPECIFIC INFORMATION ---------------------------------------------------------------- 1. MTA_NaviLens_Feedback_Survey_20260115.csv A. Number of variables (columns): 55 B. Number of cases/rows: 159 C. Each row represents: overall satisfaction, agreement ratings, open-ended comments, optional demographic questions, and recorded timestamp D. Data Dictionary/Variable List: MTA_NaviLensFeedbackSurvey_DataDictionary.pdf ---------------------------------------------------------------- F. UPDATE LOG ---------------------------------------------------------------- This README_MTA_NaviLensFeedbackSurvey file was originally created on 2026-01-16 by Christine Singh, 0009-0004-8728-3505, Accessibility Projects Specialist, christine.singh@mtahq.org Update Log: 2026-01-16: Original file created