This project aims to develop a city-scale dynamic curb use simulation tool and an open-source curb management platform. The envisioned simulation and management capabilities will include dynamically and concurrently controlling price, number of spaces, allowed parking duration, time of use or reservation, and curb space use type (e.g., dynamic curb space rezoning based on supply and demand). Researchers will design, implement, and test a curbside resource usage platform for fleet vehicles communications at commercial vehicle load zones (CVLZs), passenger load zones (PLZs), and transit stops, and perform demonstrations with stakeholder agencies and provide pathways to practice for promising curb allocation policies.
Project Funder: U.S. Department of Energy, Vehicle Technologies Office (VTO)
Principal Investigator(s): Dr. Andisheh Ranjbari, Dr. Anne Goodchild
Project Budget: $500,000
Project Timing: November 2020 to November 2023
Project Funder: Urban Freight Lab
Principal Investigator(s): Dr. Anne Goodchild
Project Budget: $180,000
Project Timing: January 2022 to January 2024
The Urban Freight in 2030 project will explore emerging urban freight trends, their impacts on local and global sustainable development, and propose our future course of action. We'll use the expertise of the Urban Freight Lab members and partners, supported by up-to-date research and subject specialists, to create a shared vision of the future of urban delivery in 2030, and produce vision documents to be shared publicly, outlining and detailing the Urban Freight Lab’s vision of the future of urban freight. See the project website: Goods Movement 2030, An Urban Freight Lab Blog.
Project Funder: University of Washington
Principal Investigator(s): Dr. Anne Goodchild
External PIs: Lillian Ratliff
Project Budget: $50,000
Project Timing: June 2022 to June 2023
For this project, two research groups at the University of Washington (the Urban Freight Lab and Lilian Ratliff's research group) will collaborate to integrate different data streams currently being collected separately and in an uncoordinated way, including data from in-ground curb sensors at CVLZs and PLZs, paid parking transactions at paid parking spaces, and data obtained from timelapse camera recordings. The groups will create a holistic framework to analyze not only the curb behaviors of different users but also how different users interact in the competition for limited curb space. The collaboration will advance the state of environmental science by providing the most complete dataset and creating innovative tools to inform policymaking on curb parking pricing and curb allocation to reduce cruising for parking and unauthorized parking events, therefore tackling the climate crisis by reducing urban vehicle emissions and traffic congestion, and the state of data science by developing a new statistical framework and machine learning algorithms to analyze curb space use behaviors from users and develop recommendations for cities on how to better allocate curb space to different competing demands.
Project Funder: Urban@UW
Principal Investigator(s): Dr. Giacomo Dalla Chiara
Project Budget:
Project Timing: October 2022 to December 2023
Food security, defined as access at all times to nutritious food, is a necessary condition for human beings to thrive and have an active and healthy life. In Seattle, about 13 percent of adults experienced food insecurity. Moreover, food security is not equitably distributed across the population. Food insecurity is more common in households with young children, with single parents, with incomes below 185 percent of the poverty threshold, in Black and Hispanic populations, and in principal metropolitan areas.