Abstract: Objective: It is aimed to explore the application of DTT (digital twin technology) in URT (urban rail transit) industry, and to propose a DTT architecture suitable for URT application scenarios with practical implementation in the typical scenarios. Method: Guided by URT OM (operationmaintenance) management business requirements, the DTT architecture is analyzed from 3 levels: data perception, fusion processing, and functionality realization. Special emphasis is placed on the analysis of digital twin entity, utilizing a data middle office to amalgamate and govern static and dynamic data. Methods based on mechanistic models and datadriven simulation are studied, and standardized simulation service is provided by simulation model library. station OM management and train OM management in URT are selected as typical application scenarios for practical implementation. Result & Conclusion: The proposed DTT architecture for URT is oriented towards OM management business requirements, centered on a digital twin entity composed of static data, dynamic data, and simulation models. This architecture can effectively meet the application needs of URT station OM management and train OM management scenarios, enabling equipment realtime alarms, equipment remaining life prediction, intelligent troubleshooting, emergency response recommendations, personnel management, and other OM applications. Timely assessment of equipment health can be provided to reduce accident occurrence probability and improve disposal efficiency.