随申行(MaaS平台)
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上海打造全国首个出行服务可信数据生态 MaaS平台赋能数据价值释放
Sou Hu Cai Jing· 2025-11-25 12:19
Core Viewpoint - The fifth Global Digital Business Conference opened in Shanghai, featuring a sub-forum focused on the theme "Data Aggregation for Trustworthy Future," where the Shanghai Travel Service Trustworthy Data Ecosystem was launched, marking a significant milestone in the development of smart transportation in China [1][3]. Group 1: Overview of the Trustworthy Data Ecosystem - The Shanghai Travel Service Trustworthy Data Ecosystem is the first industry data space in China focusing on transportation, created under the guidance of the Shanghai Municipal Data Bureau and the Municipal Transportation Commission [3][4]. - This ecosystem serves as a collaborative hub for data elements in the travel sector, providing comprehensive data services that cover the entire process of aggregation, sharing, circulation, and operation [3]. Group 2: Objectives and Benefits - The establishment of this ecosystem aligns with the national "Trustworthy Data Space Development Action Plan (2024-2028)" and aims to accelerate the digital transformation of the transportation industry, enhance public transport development, and modernize traffic governance in mega cities [3]. - The platform offers a one-stop service for various stakeholders, including capacity enterprises and data source companies, facilitating data application scenario exploration and product promotion [3][4]. Group 3: Technical Infrastructure and Data Integration - The ecosystem leverages a mature technical architecture and deep understanding of the transportation industry to provide efficient services, significantly reducing data sourcing and collaboration costs [3]. - It connects numerous authoritative institutions and leading enterprises across transportation operations, urban construction, and research, creating a collaborative ecosystem that spans the entire industry chain [4]. Group 4: Data Quality and Coverage - The MaaS platform has integrated comprehensive data from various transportation modes, including ground transport, rail, ride-hailing, long-distance passenger transport, and more, establishing a high-quality data set for the trustworthy data ecosystem [4]. - This data set is designed to be real-time, comprehensive, and supports the operational needs of the trustworthy data ecosystem, ensuring its effective functioning [4].