Keyang Zhang

Papers

Total Citations

H-Index

About

Keyang Zhang is a researcher whose work lies at the intersection of operations management, logistics, and behavioral analytics, with a particular focus on last-mile delivery innovation. Their most cited paper, "Customer Behaviour Analysis for Coordinated Delivery Service Using Mobile Parcel Lockers and Autonomous Robots: A Congestion-Game Model" (2023), introduces a novel game-theoretic framework that models how customers interact with autonomous robots and mobile parcel lockers—a timely contribution as e-commerce and autonomous technologies reshape urban logistics. By treating delivery choices as a congestion game, Zhang provides actionable insights for balancing customer convenience with system efficiency, directly addressing the growing challenge of sustainable, cost-effective parcel distribution. Though still early in their career, this work has already garnered attention (2 citations), signaling its relevance to practitioners and scholars alike. Zhang’s research is distinguished by its rigorous mathematical modeling of real-world behavioral dynamics, offering a blueprint for designing smarter, more responsive delivery networks. Their work is essential reading for anyone interested in the future of automated logistics, smart city infrastructure, or the behavioral economics of shared resources.