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Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics.

Bhagya Nathali Silva1, Murad Khan2, Changsu Jung3

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This study introduces a Big Data analytics (BDA) architecture for smart cities to manage urban data growth. The proposed system enhances urban planning and services, proving reliable for real-world implementation.

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Area of Science:

  • Computer Science
  • Urban Planning
  • Data Science

Background:

  • The Internet of Things (IoT) enables smart cities, but challenges exist in real-time data processing and exponential data growth.
  • Existing smart city architectures struggle to manage the vast amounts of urban data, hindering the enhancement of citizens' quality of life (QoL).

Purpose of the Study:

  • To propose and evaluate a Big Data analytics (BDA)-embedded experimental architecture for smart cities.
  • To address the limitations of real-time processing and data volume in smart city development.
  • To leverage urban Big Data (UBD) for improved city planning, design, maintenance, and service provision.

Main Methods:

  • Developed a three-tier architecture for data aggregation, real-time data management, and service provisioning.
  • Integrated data normalizing and filtering techniques to optimize offline and online data processing.
  • Utilized a dual-node Hadoop cluster and authenticated datasets for performance evaluation.

Main Results:

  • Determined threshold values for urban planning and city operation management through dataset analysis.
  • Achieved superior performance in terms of throughput and processing time compared to existing works.
  • Demonstrated the applicability and reliability of the proposed BDA-embedded smart city architecture.

Conclusions:

  • The proposed BDA-embedded architecture effectively manages and processes urban Big Data (UBD).
  • The architecture enhances urban planning, city operations, and the quality of urban services.
  • The system is validated as a reliable and applicable solution for real-world smart city implementation.