Urban data platforms integrate the large amount of data in cities, including energy, transport, crowdsourced data, etc., and provide holistic view of the information with the aim of improvement and development of innovative smart city services.
Four types of data streams can be drawn from urban data:
- demand-side stream which can give better understanding of specific properties and characteristics of urban processes, e.g. buildings services, government-to-citizens services, and provide solutions for improvement
- supply-side stream to monitor incidents and crisis situations and the respective responses and solutions with the aim of drawing conclusions and recommendations
- analytical stream to identify data patterns and correlations in order to derive predictions for urban innovation, provide impact assessment, and demonstrate the challenges and opportunities in urban development
- standardization stream to bring the data in line with the international standards.
Urban data platforms enable and stimulate a proper understanding of how infrastructure is used in different domains, the interdependencies between different elements of infrastructure and the effects of external drivers such as public policy, major events and weather patterns and precipitation.