The Ballard Cordon Data Collection for Trucks and Cars is an analysis research project to be conducted by the Supply Chain Transportation & Logistics Center (SCTL) at the University of Washington for the City of Seattle Department of Transportation (SDOT).
Project Funder: City of Seattle Department of Transportation (SDOT)
Principal Investigator(s): Dr. Anne Goodchild
Project Budget: $50,000
Project Timing: December 2019 to August 2020
Project Funder: Seattle Flu Study
Principal Investigator(s):
Project Budget:
Project Timing: October 2019 to June 2020
The mission of the Seattle Flu Study (SFS) is to prototype city-scale capabilities for epidemic preparedness and response. One of the aims of this study is to understand methods to implement rapid interventions outside of clinical settings and within 48-72 hours of the onset of symptoms, to enable the immediate diagnosis, treatment, or isolation of flu-positive individuals.
Project Funder: Seattle Public Utilities
Principal Investigator(s): Dr. Anne Goodchild
Project Budget: $50,000
Project Timing: August 2019 to August 2020
The Supply Chain Transportation & Logistics Center (SCTL) is conducting collaborative research with Seattle Public Utilities (SPU) to explore and share innovative approaches for moving, storing, and redistributing surplus food.
Project Funder: UW Medicine Department of Laboratory Medicine
Principal Investigator(s): Dr. Anne Goodchild
Project Budget:
Project Timing: April 2019 to June 2019
The Urban Freight Lab primarily focused on optimizing UW Laboratory Medicine's 12 routes per day moving lab specimens and conducting departmental business.
Project Funder: City of Seattle Department of Transportation (SDOT)
Principal Investigator(s): Dr. Anne Goodchild
Project Budget: $30,000
Project Timing: March 2019 to December 2019
The City of Seattle Department of Transportation (SDOT) has engaged the Urban Freight Lab to conduct research on the impacts of a Freight and Transit (FAT) only lane that was in place in January 2019. The research findings will be used to understand the FAT Lane’s performance towards achieving city goals, and to guide development of future FAT Lane projects.