Jose Javier Escribano Macias
Papers
1
Total Citations
2
H-Index
1
About
Jose Javier Escribano Macias is a researcher whose work lies at the intersection of urban logistics, autonomous systems, and behavioral modeling. His primary research areas include last-mile delivery optimization, the integration of autonomous robots with shared infrastructure, and the application of game theory to understand customer decision-making in complex transport systems. His most notable contribution is a congestion-game model that analyzes customer behavior in coordinated delivery services using mobile parcel lockers and autonomous robots, a framework that addresses the critical challenge of balancing efficiency, cost, and user satisfaction in rapidly evolving urban environments. This work, published in 2023, has already garnered 2 citations, signaling its relevance to scholars and practitioners seeking scalable, user-centric solutions for sustainable city logistics. Escribano Macias’s research is distinguished by its interdisciplinary approach, merging operations research, behavioral economics, and robotics to design systems that are both technically robust and socially responsive. His contributions are particularly timely as cities worldwide grapple with the pressures of e-commerce growth and the need for greener, more resilient delivery networks.
Research Focus
Key Achievements
Top Papers
- 1