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• The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools

  Jon E. Froehlich, Yochai Eisenberg, Maryam Hosseini, Fabio Miranda, Marc Adams, Anat Caspi, Holger Dieterich, Heather Feldner, Aldo Gonzalez, Claudina de Gyves, Joy Hammel, Reuben Kirkham, Melanie Kneisel, Delphine Labbé, Steve J. Mooney, Victor Pineda, Cláudia Fonseca Pinhão, Ana Rodríguez, Manaswi Saha, Michael Saugstad, Judy Shanley, Ather Sharif, Qing Shen, Cláudio Silva, Maarten Sukel, Eric K. Tokuda, Sebastian Felix Zappe, Anna Zivarts · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 22)

  This workshop paper frames urban accessibility as a "wicked problem" spanning transportation, urban planning, disability studies, public health, and human geography, and assembles a remarkably diverse team of 28 co-organizers from six countries across academia, government, NGOs,…

  urban accessibility · built environment · pedestrian infrastructure · sidewalk accessibility · data collection

• 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 · 2022 · Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22)

  A design-probe interview study investigating how different stakeholders make sense of urban accessibility data through map visualizations. The authors built 24 map-based probes across seven map types — point, severity-weighted point, grid, heatmap, choropleth, street, and…

  accessible maps · spatial cognition · data visualization · geovisualization · sensemaking

• Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery

  Galen Weld, Esther Jang, Anthony Li, Aileen Zeng, Kurtis Heimerl, Jon E. Froehlich · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This paper presents the first application of deep learning to automatically assess sidewalk accessibility from Google Street View (GSV) panoramas, addressing four types of accessibility problems: curb ramps, missing curb ramps, sidewalk obstructions, and surface problems.…

  computer vision · deep learning · sidewalk accessibility · curb ramps · crowdsourcing

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

  Anthony Li, Manaswi Saha, Anupam Gupta, Jon E. Froehlich · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2018)

  This poster paper from the University of Maryland and University of Washington presents two prototype tools — AccessScore and AccessVisDC — for modeling and visualizing neighborhood-level physical accessibility for people with mobility impairments. The work addresses a critical…

  urban accessibility · wheelchair accessibility · walkability · data visualization · crowdsourcing

• A Pilot Deployment of an Online Tool for Large-Scale Virtual Auditing of Urban Accessibility

  Manaswi Saha, Kotaro Hara, Soheil Behnezhad, Anthony Li, Michael Saugstad, Hanuma Maddali, Sage Chen, Jon E. Froehlich · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17)

  This demonstration paper introduces Project Sidewalk, a web-based tool that enables anyone with an internet connection to remotely audit urban sidewalk accessibility by virtually walking through city streets using Google Street View. The tool addresses a significant gap in…

  crowdsourcing · urban accessibility · GIS · sidewalk accessibility · curb ramps

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