last mile transport

This work models a last-mile network design problem for an e-retailer with a capacitated two-echelon distribution structure - typical in e-retail last-mile distribution, catering to a market with a stochastic and dynamic daily customer demand requesting delivery within time-windows.

This is the dataset associated with the report "Simulating Bike-Transit Trips Using BikewaySim and TransitSim."

This study investigates the potential ramifications of e-commerce on shopping behaviors, travel, and residential deliveries by the year 2050. The study underscores the significance of contemplating the implementation of clean energy fleets and effective transportation strategies to mitigate the negative externalities related to shopping activities.

This policy brief summarizes findings and provides policy implications from research examining ways that companies might adapt to increasingly consumer-focused trends in e-commerce towards rush delivery within strict time windows (expedited logistics).

Planners and engineers need to know how to assess the impacts of proposed cycling infrastructure projects to select those with the greatest potential impact on cycling safety. This research uses the BikewaySim cycling shortest path model and shows how it can be used to both examine the current cycling network and show changes in accessibility likely to result from new infrastructure.

This research outlines a framework for assessing new and existing infrastructure through BikewaySim.