Distributed and scalable platform architecture for smart cities complex events data collection: Covid19 pandemic use...

Area of Science:

• Urban planning and Information Technology
• Environmental sustainability
• Public health informatics

Background:

• Numerous initiatives like digital, green, and smart cities aim to improve urban life quality through technology.
• Current smart city applications are often domain-specific, leading to high costs for correlating diverse data streams.
• Effective urban management requires integrating various data sources for holistic decision-making.

Purpose of the Study:

• To propose a novel system for abstracting diverse urban events into complex space-time events.
• To present the architecture of this proposed system and its interaction with external actors.
• To demonstrate the system's utility through a use case for managing the COVID-19 pandemic.

Main Methods:

• Development of a system for abstracting city events, termed complex space-time events.
• Architectural design of the proposed system, detailing its components and interfaces.
• Implementation of a specific use case for pandemic management and public order.

Main Results:

• The proposed system enables the abstraction of heterogeneous city events into a unified format.
• The system's architecture facilitates integration and interaction with various urban data sources.
• A practical application demonstrated the system's effectiveness in addressing pandemic-related challenges.

Conclusions:

• The developed system offers a scalable solution for integrating and analyzing complex urban data.
• Abstracting city events into complex space-time events enhances decision-making capabilities for urban governance.
• This approach provides a valuable framework for smart city development and crisis management, as shown in the COVID-19 use case.