Abstract
Abstract. Urban platforms are becoming a vital role player in city resources management for achieving the right balance between social and economic services and their impact on the environment. More and more cities are starting to benefit from an urban platform to state the city conditions and re-coin the shape of life depending on data gathered from different city systems. However, urban platforms need further support of data analytics in respect of reaching a smart city platform helping city planners with better decision making. Besides, the majority of operational urban platforms consider 2D data only, missing out on the possible information that could be obtained from 3D city models. This work proposes a concept for an urban platform that supports data manipulation and visualization plus interactive analytic functionalities. As a prototype, an urban platform is implemented for integrating and processing 3D city models and 2D traffic data to derive air pollutants emission rates with analytic visualization, leading urban planning to concentrate on the most affected areas. In addition, interactive features are implemented, including filtering, querying, and classifying data to support the analytic visualization in the developed urban platform.
Highlights
The urban population is forecast to reach 6.419 billion by 2050, with an increase of 66% (URBANET, 2016)
Thereupon, many studies have been carried out to set up standards and approaches for smart city implementation that guarantees the basic requirements of the urban platforms as openness, efficiency, quality of life, and interoperability (Hernandez et al, 2020)
This paper aims to expand this concept to take into account 2D/3D data integration and analysis coupled with analytic visualization and user-interacted functionalities as filtration and classification
Summary
The urban population is forecast to reach 6.419 billion by 2050, with an increase of 66% (URBANET, 2016). This exponential urbanization raises challenges to provide services for city inhabitants with optimizing resources management and energy consumption as well as reducing the potential impact on the environment. In order to improve urban planning, cities are transforming into smart cities by implementing their own urban platforms. Thereupon, many studies have been carried out to set up standards and approaches for smart city implementation that guarantees the basic requirements of the urban platforms as openness, efficiency, quality of life, and interoperability (Hernandez et al, 2020). Data interoperability considers the vertical data flows between service layers and horizontal data flows between different applications (Brutti et al, 2019)
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