Seattle SMART Grant Digital Commercial Vehicle Permit Project - UPDATED DATASET

The Seattle SMART Grant Digital Commercial Vehicle Permit Project advanced work to provide reliable, modern curb access for commercial delivery vehicles using a collaborative, data driven approach. Short-term goals were to engage with local businesses and commercial delivery users with a Seattle Department of Transportation (SDOT) issued decal to prototype a new digital permit to make more efficient use of commercial vehicle load zones, automate payment for users, and provide usage data at the zones for City and public use. The project collected baseline data, interacted with various stakeholders, prototyped a technology-driven curb management system with two vehicle detection sensors, and evaluated a digital permit in North Downtown. SDOT is also converting the areas curb data to the Curb Data Specification set by the Open Mobility Foundation. The University of Washington’s Urban Freight Lab led the project’s research by developing a technology assessment and existing commercial vehicle curbside utilization data collection plans, parking and pricing policy scenarios assessment, analysis of project results, and recommendations for building a digital permit on a scale citywide. Note: This is an updated dataset. Original dataset was published on November 24, 2025, and the record can be viewed at https://zenodo.org/records/17081752. File Name File Type Description README PDF Overview document that explains the contents, structure, and use of the project’s data package. DCAT-US METADATA JSON Machine-readable metadata file that describes the project’s datasets for compliance, discoverability, and publication on open data portals. Seattle SMART Grant Implementation Report_v.3 PDF Comprehensive document of Stage One pilot outcomes along with strategic objectives for at-scale implementation. Communication and Outreach Plan PDF A comprehensive plan of outreach activities and engagement activities conducted during the project. Curbside Data Assessment Report PDF An assessment on SDOT's digital curb sign and curb space data. The assessment examined how curb sign and curb space data is created, updated, and maintained, as well as identifying technical and system-level constraints. Gave actionable recommendations for improving data quality, consistency, and operational alignment as part of a broader enterprise asset management system. IDAX Round 1 Data Collection CSV Dataset documenting the CVLZ baseline data collection effort that took place between May 15 and June 12, 2024. Data dictionary provided. IDAX Round 2 Data Collection CSV Dataset documenting data collection efforts on December 18 and 19, 2024 for the technology assessment. Data dictionary provided. IDAX Round 3 Data Collection CSV Dataset documenting data collection efforts on July 1 and July 2, 2025 for the technology assessment. Data dictionary provided. Interview Guide PDF An interview guide for our in-depth interviews with local businesses. The goal was to learn more about how local businesses and building managers receive deliveries and use (or don’t use) commercial vehicle loading zones. Interview Flyers ZIP Flyer used by outreach consultant as they went door-to-door to local businesses, asking if they would be willing to participate in an interview about commercial vehicle loading zones. Translated into 9 languages. Interview Summary PDF An executive summary of the of interviewee responses. All personally identifiable information (PII) has been removed to protect participant privacy. IPS Event Data ZIP Dataset documenting curb parking events based on IPS sensor data collected between September 2024 and August 2025. Data dictionary provided. IPS Battery Voltage ZIP Dataset documenting the battery voltage of the IPS sensor and meter between September 2024 and August 2025. Data dictionary provided. SDOT GIS Open Data Feedback PDF A memo which includes recommendations for how to improve Seattle's GIS open data. This data, provided by SDOT, served as the base data for the curb inventory (curb zones) created by CurbIQ. Seattle SMART Grant Finalized DMP PDF A complete document detailing the data structure, content, and the City's approach to data management. Seattle SMART Grant Evaluation Plan PDF A complete document detailing the evaluation criteria for the project. Seattle Policies JSON A dataset of Seattle's curb policies derived from Seattle's SDOT Street Sign data records. SDOT Street Sign data is publicly available on the Seattle Open Data Portal. Data dictionary provided. Seattle Zones JSON A dataset of Seattle's curb spaces derived from Seattle's Curb Space Categories data records. Curb Space Categories data is publicly available on the Seattle Open Data Portal. Data dictionary provided. SMART - UFL Full Technical Report PDF A technical report that describes the research study, data collected, and findings from analysis of data conducted by the University of Washington's Urban Freight Lab. UFL CVLZ Survey Data CSV Responses to UFL's survey. Questions with personally identifiable information (PII) have been removed to protect participant privacy. Data dictionary provided. Umojo Event Data ZIP Dataset documenting curb parking events based on Umojo camera sensor data collected between January 2025 and August 2025. Data dictionary provided.