LL@Green - Optimizing towards sustainable last-mile logistics 

The goal of the LL@Green project is to develop integrated approaches to address gaps in the literature and industry needs in last-mile logistics, promoting sustainability (economic, environmental, and social) and customer satisfaction. To achieve this goal, the project aims to: (1) explore data and develop demand forecasting models capable of accurately predicting future demand; (2) develop novel optimization models and state-of-the-art solution methods to support the location of urban mobile warehouses and the routing of deliveries; and (3) integrate the models developed in (1) and (2) to optimize the coordination between demand and supply, promoting efficient resource usage.

The supply optimization models account for urban morphology (physical structure) and orography (terrain slopes), enabling the use of more environmentally friendly transport modes (e.g., bicycles and walking), thereby reducing emissions, congestion, and noise. Regarding the social dimension, micromobility modes are explored, as they do not require a driver’s license and can be used regardless of age, gender, race, ethnicity, religion, or socioeconomic status.

The developed models will be validated and tested using data from Lisbon, a particularly challenging case due to its irregular orography. In the future, the methods and strategies developed within LL@Green for Lisbon can be readily applied to address similar challenges faced by cities worldwide.