Baseline Assessment of Cost-Effectiveness
The cost-effectiveness analysis evaluates the resources employed against the overall benefits (both monetary and non-monetary) brought by each specific project under SP1.
- Development costs for Digital Twin (DT) architecture, including:
- Preparation and deployment of the Data Platform.
- Integration of data processing framework and API management.
- Deployment of Geodata infrastructure (Backend).
- Preparation and deployment of the virtual city model (Frontend).
- Preparation of models and simulation tools.
- Deployment of rights and roles (privacy concept).
- Data connection to the Digital Twin.
- Cost of sensors and other equipment used for monitoring and optimization, depending on use cases.
- Operational costs of the Digital Twin, including:
- Cloud costs for the Data Platform.
- Cloud costs for Geodata infrastructure.
- Operation and maintenance of DT infrastructure.
- Personnel costs (Digital Twin Team, including developers).
- DT operational management, including:
- Data management.
- Data security.
- Management of licenses.
- Enhanced capacity in urban planning for city planners.
- Increased citizen involvement through:
- Information sharing about urban infrastructure.
- Involvement in future urban development projects (e.g., consultations).
- Ensuring transparency.
- Open availability of data and information for:
- Private interlocutors.
- Social housing companies.
- Real estate developers.
- Architectural firms.
- Cost abatement (both direct and indirect impact) for each specific use case, including:
- CO2 reduction.
- Energy reduction through process optimization.
- Customization of diverse and additional use cases according to city challenges.
- Dynamically updated database, capitalizing on data for different use cases.
This assessment highlights the balance between the costs incurred and the broad range of benefits achieved, showcasing the value of implementing Digital Twin technology in urban planning and management.