A continuum approximation approach to the depot location problem in a crowd-shipping system - ScienceDirect

PDF) A Continuum Approximation Approach to the Hub Location Problem in a Crowd-Shipping System

Best bicycle users ratio, for different number of docking stations

The three-sided market of on-demand delivery - ScienceDirect

Deep reinforcement learning for stochastic last-mile delivery with crowdshipping - ScienceDirect

Smart and sustainable city logistics: Design, consolidation, and regulation - ScienceDirect

Deep reinforcement learning for stochastic last-mile delivery with crowdshipping - ScienceDirect

Assessing last-mile distribution resilience under demand disruptions - ScienceDirect

A continuum approximation approach to the depot location problem in a crowd-shipping system - ScienceDirect

PDF) Urban consolidation solutions for parcel delivery considering location, fleet and route choice

PDF) City logistics: Towards a blockchain decision framework for collaborative parcel deliveries in micro-hubs

Assessing the impacts of last mile delivery strategies on delivery vehicles and traffic network performance - ScienceDirect

An epsilon-constraint-based exact multi-objective optimization approach for the ship schedule recovery problem in liner shipping - ScienceDirect

An agent-based optimisation approach for vehicle routing problem with unique vehicle location and depot - ScienceDirect

PDF) Same-Day Delivery with Crowdshipping and Store Fulfillment in Daily Operations