This paper examines capabilities of a new Spatial Data Infrastructure called Urban Analytics Data Infrastructure (UADI¹), through deriving and evaluating transport sustainability indicators. The UADI was developed in Australia to support multi-disciplinary and cross-jurisdictional analytics to overcome the challenges related to model generalisation, data accessibility, data integration, data heterogeneity and city performance benchmarking. In this paper, the UADI were evaluated through 5 technical lenses of: data accessibility; integration; harmonisation; data reliability and model reliability. The paper shows that using open geospatial standards in UADI enabled transport sustainability indicators to be derived through accessing and integrating different spatial data layers and the process of mapping data to ontology facilitated data harmonisation. In addition, the input data, tool processing, and output of ontology-based transport sustainability indicators could be traced in UADI, which addresses the challenge of model and data reliability. The paper highlights the role of spatial data infrastructures in decision support systems for uncertainty analysis and promoting smart cities and resilient environment.

本文研究了称为Urban Analytics Data Infrastructure（UADI ¹），通过得出和评估运输可持续性指标。UADI是在澳大利亚开发的，旨在支持多学科和跨辖区的分析，以克服与模型概括，数据可访问性，数据集成，数据异质性和城市绩效基准测试相关的挑战。本文通过5个技术视角对UADI进行了评估：数据可访问性；积分; 协调；数据可靠性和模型可靠性。本文表明，在UADI中使用开放的地理空间标准，可以通过访问和集成不同的空间数据层以及将数据映射到本体的过程来导出运输可持续性指标，从而促进了数据的协调。另外，输入数据，刀具处理，可以在UADI中追踪基于本体的运输可持续性指标的输出，从而解决模型和数据可靠性的挑战。本文重点介绍了空间数据基础设施在决策支持系统中的作用，以进行不确定性分析并促进智慧城市和弹性环境。