Access to safe and functional sidewalks is essential for sustainable, equitable and inclusive communities. Yet in many parts of Washington, data about the pedestrian environment—such as sidewalk availability, condition, and connectivity—is either incomplete or unavailable. A caregiver with a stroller trying to navigate cracked, narrow sidewalks, a traveler with a wheelchair moving along the shoulder of a busy road because there’s no sidewalk at all. Or elderly residents using a walker to reach the bus stop, only to find the path riddled with broken pavement, making each step a hazard. For many Washingtonians, this isn’t hypothetical; it’s daily life. In countless neighborhoods, sidewalks are either deteriorating or simply don’t exist, and people choose against active transportation when they can for lack of knowledge where they would feel and be safe. Planners, too, are feeling the impact of this missing data. King County, for example, has a real need to improve sidewalks around transitional housing facilities but doesn’t know where to start. Without a clear picture of sidewalk conditions, they don’t know which areas lack basic accessibility or safety features like proper sidewalk width. This gap in information makes it nearly impossible to set concrete project plans or evaluate the environmental and access impacts of new work in these areas.

Under the directive of the state legislature and using innovative technology by the University of Washington, Washington is now creating a comprehensive, high-quality pedestrian network dataset that includes detailed sidewalk data across the state. This project supports equitable mobility by equipping state agencies, local governments, and community organizations with data to plan Complete Streets and prioritize resources where they’re most needed. The data also allows better support for state safety initiatives, including Vision Zero, and enhances agencies’ ability to make data-driven decisions to prevent serious pedestrian injuries. Ensuring this sidewalk dataset is updated and expanded will help Washington provide all residents, especially vulnerable populations, with safe, accessible, and sustainable transportation options. With this data, transportation planners and community members will have the information they need to address critical accessibility, safety, and equity gaps within the transportation network. In historically overburdened areas, this can mean identifying where crumbling or missing sidewalks are, and improving conditions for residents to safely access work, transit, schools, and other services.

Read more about the Unified Open Sidewalks Dataset for Washington State

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OS-CONNECT Viewer

Explore Washington’s connected sidewalk and crossing data in OpenSidewalks schema

This Viewer displays OS-CONNECT, a statewide connected pedestrian network dataset for Washington State. It includes sidewalks, crossings, and related pedestrian features intended to support accessibility analysis, planning, and long-term data stewardship.

Use this Viewer to explore the map, inspect feature attributes, and open QA/QC summaries by jurisdiction or unincorporated area. For downloads, exchange, and data lifecycle support, use the TDEI portal.

Project Leads: UW Taskar Center for Accessible Technology; Project Partners: Gaussian Solutions OS-CONNECT Viewer: Available to the public, no login TDEI: Free, registered access needed for data sharing and management

1) View data and QA/QC (no registration)

Explore the map, inspect attributes, and open QA/QC reports for any jurisdiction or unincorporated area mapped in WA State.

2) Download and data integration support (TDEI)

Use TDEI for authoritative releases, downloads, and the dataset lifecycle. Registration required.

3) Support channels

Use the support channel for help requests. Include your area, dataset name/ID, version, and evidence.

4) Documentation and tutorials

Find schema, versioning, known issues, and short tutorials for common workflows.

To get help faster: include the jurisdiction or unincorporated area, the TDEI dataset name/ID (shown in the Viewer), the version identifier, and helpful information such as: coordinates, feature IDs, screenshots, or a short screen recording.

Taskar Center for Accessible Technology (TCAT), University of Washington • Project partner: Gaussian Solutions Last updated: [INSERT DATE]
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