Efficient sharing technology for railway model-data integrated services across the full lifecycle

In response to the challenges of resource scheduling and operational efficiency faced by railway systems due to surging transport demand and cross-departmental information silos, this paper proposes an efficient sharing technology for model-data integrated services oriented towards the full lifecycle. Driven by a scenario-based methodology, it designs classification and coding rules for railway events and constructs a metadata set encompassing both models and data, thereby supporting the full lifecycle development of model-data integrated components. By combining vertical construction (forming closed-loop algorithmic functions) with horizontal expansion (optimizing data compatibility), a component framework covering various railway business scenarios is established. The integration of service chains enables efficient collaboration between geospatial analysis and emergency decision-making. Using a railway traffic accident as a case study, the effectiveness of the service chain response mechanism—based on the coding rules—in accident localization, blockade control, and rescue operations is verified. The research demonstrates that this method can enhance the accuracy of resource scheduling, the efficiency of service sharing, and the emergency response capability of railway systems.