January 24, 2022 — Urban Freight Lab Research Assistant José Luis Machado León (Ph.D. Transportation Engineering ’22) defended his dissertation today, completing his graduate studies and earning his doctorate degree.
Machado León’s Master’s thesis, Modeling of Urban Freight Deliveries: Operational Performance at the Final 50 Feet, presents the first predictive tool to estimate the presence of private freight loading/unloading infrastructure based on observable characteristics of property parcels and their buildings. The predictive model classifies parcels with and without these infrastructures using random forest, a supervised machine learning algorithm. The model was developed based on a rich geodatabase of private truck load/unload spaces in the City of Seattle and the King County tax parcel database.
Anne Goodchild served as doctoral supervisory committee chair; additional committee members Don MacKenzie, Lillian Ratliff, and Qing Shen.
Machado León works for Heffron Transportation as a Transportation Engineer.
Read more:
- José Machado León’s research publications
- José Machado León’s Master’s thesis: Modeling of Urban Freight Deliveries: Operational Performance at the Final 50 Feet
About the Urban Freight Lab (UFL): An innovative public-private partnership housed at the Supply Chain Transportation & Logistics Center at the University of Washington, the Urban Freight Lab is a structured workgroup that brings together private industry with City transportation officials to design and test solutions around urban freight management. Since launching in December 2016, the UFL has completed an innovative suite of research projects on the Final 50 Feet of delivery, providing foundational data and proven strategies to help cities reduce truck dwell times in load/unload spaces, and failed first delivery attempts by carriers, which lowers congestion, emissions, and costs.