Project Description

Walkability indices such as model the proximity and density of walkable destinations within a neighborhood. While these metrics have gained widespread use (e.g., incorporated into real-estate tools), they do not integrate accessibility-related features such as sidewalk conditions or curb ramps—thereby excluding a significant portion of the population. In this project, we explore the design, implementation, and evaluation of neighborhood accessibility models and visualizations for people with mobility impairments. We are able to overcome previous data availability challenges by using the Project Sidewalk API, which provides access to 255,000+ labels about the accessibility and location of DC sidewalks.

AccessVis is part of the larger Project Sidewalk initative.


Designing Interactive Data-Driven Tools for Understanding Urban Accessibility at Scale

Manaswi Saha

UW CS PhD Dissertation

Visualizing Urban Accessibility: Investigating Multi-Stakeholder Perspectives through a Map-based Design Probe Study

Manaswi Saha, Siddhant Patil, Emily Cho, Evie Yu-Yen Cheng, Chris Horng, Devanshi Chauhan, Rachel Kangas, Richard McGovern, Anthony Li, Jeffrey Heer, Jon E. Froehlich

CHI | Acceptance Rate: 24.7% (637 / 2579)

Interactive Computational Tools for Assessing and Understanding Urban Accessibility At Scale

Manaswi Saha

SIGACCESS Newsletter 2020

Interactively Modeling and Visualizing Neighborhood Accessibility at Scale: An Initial Study of Washington DC

Anthony Li, Manaswi Saha, Anupam Gupta, Jon E. Froehlich

Extended Abstract Proceedings of ASSETS 2018