Transport sustainability indicators for an enhanced urban analytics data infrastructure

Abstract This paper examines capabilities of a new Spatial Data Infrastructure called Urban Analytics Data Infrastructure (UADI 1 ), 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.

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