economy

To aid a fuller understanding of the costs and benefits of these distribution strategies in diverse delivery environments, this work develops a multi-echelon last-mile distribution model using Continuous Approximation (CA) techniques. The model results suggest that traditional last-mile delivery with diesel trucks is a good fit for e-retailers delivering in dense environments with lenient temporal constraints (parcel service), a strategy that allows for demand consolidation and thus low-cost low-emission distribution.

This policy brief summarizes findings from a study which examined how access to jobs in employment sub-centers influences household vehicle miles traveled.

The dataset is an Analytical Tool (.xlsm format) to model last-mile delivery and different city logistics measures in the context of e-commerce delivery.

This report discusses the project which aimed to develop an analytical framework to model urban last mile delivery, building upon the previously developed econometric behavior models that capture e-commerce demand.

This research assesses a scenario where transit agencies integrate automated vehicles into their existing systems as a first-and-last mile solution for riders to model whether there would be travel time, cost savings, and other impacts to riders.