Abstract
This paper considers the research undertaken by EASTS IRG SCAFT with regard to the application of superstatistics in transport and social networks. First, we briefly describe the background, the questions and challenges that initiate the research. Second, we suggest the first passage time of the complex social and transport network has superstatistical nature. Our approach suggests certain complex functional and hierarchical relations emerge within the social network from synchronization and cooperation. We traced the reason beyond such cooperation to the anisotropy nature of the first passage time of clear time scale gradient induced flow entities. Furthermore, we suggest the direction of this anisotropy may provide the most stable and reliable path to support interoperability principles required for proposed integration of global transport and urban systems. Finally, we look to the special role of the USA with regard to the semantics interoperability in such system.
