Challenge
Creating smarter, more sustainable cities
by developing and operating interoperable dataspaces that support data-driven decision-making
Requirements Co-creation and Architecture Validation
City Scape contributes urban governance requirements with data spanning six sectors, including public administration, transport, energy, and waste management.
Complex Data Lifecycle and Regulatory Compliance Testing
City Scape presents
public-private data sharing challenges with citizen consent management in municipal contexts.
Non-functional Properties
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Scalability: Modular architecture enables expansion to other cities or domains.
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Security: Data is exchanged via IDS-compliant connectors with policy-based access control.
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Trust & Compliance: Transparent governance with dataset-specific terms and user agreement enforcement.
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Reliability: Deployed on robust cloud infrastructure
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User-Centricity: Designed to accommodate
Description
Focused on Cluj-Napoca, a rapidly growing European tech hub, this use case empowers stakeholders— municipal authorities, researchers, public service providers, and citizens—to collaboratively achieve climate neutrality objectives.
The application offered through this use case enables urban stakeholders to access, share, and analyse diverse datasets related to energy consumption, mobility, environmental conditions, and citizen behaviour. By integrating these datasets into federated dataspaces, ATIT facilitates real-time insights, predictive analytics, and policy modeling tools that are critical for climate-smart governance, sustainable public service delivery, and stakeholder engagement.
Dataspaces
Two dataspaces, City Dataspace and ZERO Net Dataspace have been set up for integration into City Scape use case. One representing the macro-city data flows around net zero ambitions of the city and the other one representing a more micro perspective at the level of residential buildings.
Purpose
The ATIT use case focuses on enabling climate-neutral urban development in Cluj-Napoca by
integrating and orchestrating cross-sectoral datasets within two interoperable dataspaces: the City Dataspace and the ZERONET Dataspace. The scope includes real-time data exchange, monitoring, analytics, and policy support in areas such as energy consumption, traffic, public transport, environmental quality, and citizen engagement.
The primary goal is to provide a federated data infrastructure that supports data-driven decision-making for city authorities, researchers, service providers, and citizens. This infrastructure empowers stakeholders to collaboratively design, implement, and validate strategies aimed at reducing greenhouse gas emissions, improving energy efficiency, and enhancing public services in line with Net
Zero City ambitions.
Modules Used
The DS2 software modules (RET, PAE,
DRM, DARC, etc) and interfaces such as the DS2 Portal and DS2 Connector provide added value by enabling trust, data processing capabilities, and ease of use for non-technical users and have been set up and adjusted for this value added in the Setup phase.
Offered Service
A set of digital tools that enable real-time monitoring, predictive analytics, and decision support for urban sustainability goals. These services are critical for advancing Cluj-Napoca’s Net Zero ambitions by supporting evidence-based planning in mobility, energy, waste, and public service delivery. The services are implemented as modular web applications, data dashboards, and policy simulation tools integrated within the City Dataspace and ZERONET Dataspace, which is developed and operated by ATIT.
Key services include:
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Anonymized and trusted data exchange through IDS-compliant connectors
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Real-time monitoring and alerts for emissions, energy use, and mobility
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AI-driven analytics for optimizing city-level energy use and transport flows
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Support for digital twin scenarios (e.g., residential buildings under Nearly-Zero Energy Building standards)
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Visualization and dashboard tools for public and institutional users
Functional Properties
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Real-time data acquisition and sharing across sectors (mobility, energy, environment)
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Semantic interoperability for structured, machine-readable datasets
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Support for digital twin simulations (e.g., NZEB buildings)
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AI-driven analytics for predictive modelling and resource optimization
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Privacy-preserving access control and data anonymization
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Visualization dashboards for institutional and public use
Modules Used in the Use Case
City Scape
Focuses on mapping and creating a comprehensive framework of data (including automatization for data collection, interoperability architecture and policy implications) that can model the processes that contribute to Green House Gas (mainly CO2) emissions at residential and public building levels.
Demo site: Cluj-Napoca, Romania
