What is the MIT Megacity Logistics Lab?
The MIT Megacity Logistics Lab conducts innovative research to help companies operate better logistics for cities and governments to design better cities for logistics.
At the Megacities Logistics Lab, we focus on solving real-world problems using state of the art techniques that provide ROI to our partners. We provide data-centric and data-driven solutions to empower complex operational, tactical, and strategic decision making in the urban logistics environment.
Urban logistics is a quality of life enabler. If you want thriving livable cities and urbanites to be happy, the urban supply chain must be optimized.
Megacities are facing existential threats through accelerated growth and changing consumer behavior. At MLL we take these challenges as new opportunities.
Better logistics for cities. Better cities for logistics.
We develop interactive, data-driven optimization and simulation models that help designing better last-mile distribution networks and delivery models to serve demand in congested urban centers more efficiently.
We combine data analytics, mathematical modeling, and industry best practices to guide freight infrastructure investments and policy design to make cities more livable and last-mile logistics operations more sustainable.
We develop analytical methods and tools to navigate and analyze the vast amounts of data generated by logistics operations every day in order to derive intelligible and actionable insights that help improve last-mile performance.
We conduct inter-disciplinary research to identify potentially disruptive technology innovations, assess their impact on last-mile distribution, and support their adoption in the marketplace.
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Published on MIT DSpaceAuthors: Farri T. Gaba and Matthias WinkenbachMassachusetts Institute of Technology, Center for Transportation & Logistics, Cambridge, MA 02139, United States Abstract This report examines the legal, regulatory, and societal barriers facing...
Publication Details Published on Science DirectAuthors: DanielMerchán1 MatthiasWinkenbach AndréSnoeckMassachusetts Institute of Technology, Cambridge, MA 02139, United StatesReceived 7 December 2018, Revised 9 February 2020,...
Designing urban logistics operations requires in-depth understanding of consumers and channels combined with high-resolution, data-driven modeling. There are three major drivers of increased complexity of urban logistics networks.
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