Intelligent Crowd Logistics Optimization with Shared Warehouses: A Multi-Objective Mathematical Model for Sustainable UrbanParcel Delivery

The increasing demands of urban freight transport and last-mile parcel delivery pose significantchallenges to traditional logistics systems, leading to inefficiencies and environmentalconsequences. As a promising solution, crowd logistics has emerged, harnessing the collectiveefforts of individuals and the social crowd [۱]. In this paper, we propose an advanced multiobjectivemathematical model that revolutionizes crowd logistics by incorporating sharedwarehouses into the optimization process [۸]. Our model aims to co-create an efficient andsustainable urban transport system that addresses the complexities of urban parcel delivery. Byconsidering crowd tasking, vehicle routing, real-time data, sustainability factors, and the strategicutilization of shared storage spaces, we present an innovative approach to optimize crowd logistics[۹]. Through extensive simulations and empirical evidence from crowd logistics implementationsin diverse urban environments, we demonstrate the effectiveness of our approach [۱۸]. Theresearch showcases the potential of intelligent crowd logistics with shared warehouses to enhanceefficiency, reduce environmental impact, and improve customer satisfaction in urban freighttransport.