Archetypes for dynamic evolution of human and organizational factors in Fully Automated Operation system

The Fully Automated Operation (FAO) system poses a challenge for urban rail transit system in China as it is difficult to determine fault property and process of revenue service, and it is lacking of operational experiences of new system and constraints of traditional system. For this reason, the article attempts to explore the nature of changing mechanism happened in FAO system including human and organization as well as devices, which can be considered as a whole system called socio-technical system. In order to control the risk of FAO system to vary in a range which can be controlled, we propose a set of dynamic archetypes of human and organizational factors to trace the evolution of system's risk, and to seek the negative factors resulting in high risk in FAO system. The failure models based on system dynamics will reveal the key dynamic characteristics of FAO system which can be managed in an effective way. These archetypes also can help to predict the human and organizational risks of FAO system, to monitor the drifting safety boundary, and to analyze the boot cause in accident.