Publications and Research
Using NYC Open Data to Improve Accessibility for People with Mobility Impairments in New York City.
Approximately one-fifth to one-quarter of American families have a family member with a mobility impairment, which poses challenges for many local communities, particularly in New York City Boroughs. To address this issue, Doorfront.org aims to make sidewalks and facilities, such as residential buildings and restaurants, more accessible to disabled residents of New York City. As a research assistant for Doorfront.org, I used NYC Open Data to accumulate data on inaccessible facilities, such as the NYC sidewalk polygons, building footprints, city hydrants, bus shelters, parking meters, street trees, pedestrian ramps, litter baskets, city benches, and newsstands.
I downloaded a non-geospatial CSV file of all boroughs of New York from the NYC Open Data portal and researched to become familiar with the dataset's basic latitude and longitude information. Using QGIS and GeoPandas, I organized the data to enable developers to improve the Doorfront.org website. The website allows anyone to report areas that are not accessible to people with disabilities while also collecting data that can be used to fix them. The "Change Street view
location" feature of the website enables users to jump to different locations without specifying information.
This poster was presented at the 38th Semi-Annual Dr. Janet Liou-Mark Honors & Undergraduate Research Poster Presentation, May 4, 2023. Mentor: Prof. Patrick Slattery (Computer Systems Technology).