Xinhua Mao
Papers
1
Total Citations
15
H-Index
1
About
Xinhua Mao is a leading researcher in sustainable urban logistics and last-mile delivery optimization. Their work focuses on integrating emerging green technologies—such as autonomous delivery robots (ADRs) and electric vehicles—into complex, multi-echelon distribution networks. Mao’s most cited paper, “New Mobility-Assist E-Grocery Delivery Network: a Load-Dependent Two-Echelon Vehicle Routing Problem With Mixed Vehicles” (2022, 15 citations), pioneers a novel framework that models the interplay between vans and ADRs, addressing critical challenges like load dependency and mixed fleet coordination. This research demonstrates how low-efficiency autonomous robots can be strategically deployed alongside traditional vehicles to enhance flexibility and reduce environmental impact in areas unreachable by vans. By developing advanced routing algorithms for these hybrid systems, Mao provides actionable insights for e-grocery and parcel delivery industries seeking to decarbonize their operations. Their work bridges theoretical optimization with practical green logistics, offering a blueprint for scalable, sustainable urban freight systems.
Research Focus
Key Achievements
Top Papers
- 1