Two-stage evolutionary game model on complex networks for emergency logistics based on blockchain platform

Abstract

Enhancing the efficiency of emergency logistics is essential to reinforce the response capacity to emergencies. It requires collaborative efforts from both the emergency management departments and logistics enterprises. However, the capability for information docking between these organizations substantially influences the efficiency of emergency materials transportation. Blockchain, as an emerging information technology, has the potential to substantially enhance the efficiency and security of information docking through its unique characteristics. Additionally, logistics enterprises share information and resources based on the blockchain platform, aiming to ensure fast, efficient, and reliable collaborative transportation of emergency materials to impacted regions. Therefore, we propose a two-stage evolutionary game analysis of emergency materials collaborative transportation based on this platform. First, we develop a first-stage evolutionary game model to analyze the challenges associated with building a blockchain platform among emergency management departments and logistics enterprises. Subsequently, a second-stage evolutionary game model is devised to bolster the willingness of logistics enterprises based on this platform for collaborative transportation of emergency materials. Third, to validate the theoretical findings of the two-stage game model, two scale-free networks are employed for numerical simulations. As those networks evolve, the edges among nodes and the strategy choices of nodes in those networks likewise change. Numerical simulations are performed based on those networks to scrutinize the sensitivity of factors influencing strategic choice among game stakeholders. Ultimately, certain management insights gleaned from the findings can assist emergency management departments and logistics enterprises in making more informed decisions in the future.