Big Data Analytics and Computing for Smart Sustainable Cities
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 230
Special Issue Editor
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue on "Big Data Analytics and Computing for Smart Sustainable Cities" in the journal Electronics. This Special Issue aims to explore the diverse applications and innovative approaches in leveraging big data analytics and computing to build smart and sustainable cities. With the increasing urbanization and the pressing need for sustainable development, this Special Issue provides a platform for researchers, practitioners, and policymakers to share their insights and advancements in this rapidly evolving field.
In recent years, the proliferation of interconnected devices, sensors, and data collection systems has generated massive amounts of data from urban environments. The integration of big data analytics and computing technologies offers significant opportunities to extract valuable insights and make data-driven decisions that contribute to the development of smart cities. This Special Issue will cover a wide range of topics related to big data analytics and computing in the context of smart sustainable cities, including, but not limited to:
- Big data processing and storage frameworks for smart cities;
- Data integration, fusion, and interoperability in urban environments;
- Machine learning and data mining techniques for urban analytics;
- Internet of Things (IoT) and sensor networks for smart city applications;
- Energy-efficient computing and communication infrastructures for sustainable cities;
- Urban transportation and mobility analytics using big data;
- Intelligent infrastructure and resource management for urban sustainability;
- Data privacy, security, and ethics in the context of smart cities;
- Citizen engagement and participatory sensing for urban decision making;
- Case studies and real-world applications of big data analytics in smart cities.
We invite original research articles, reviews, and case studies that shed light on the challenges, opportunities, and best practices in utilizing big data analytics and computing to create smart and sustainable cities. Manuscripts submitted to this Special Issue will undergo a rigorous peer-review process, ensuring high-quality and impactful contributions. Authors are encouraged to present their novel approaches, methodologies, and empirical findings that advance the understanding and implementation of big data analytics for urban sustainability.
We look forward to receiving your submissions and sharing groundbreaking research that pushes the boundaries of knowledge in the domain of big data analytics and computing for smart sustainable cities. Together, let us pave the way towards a future where data-driven decision making and innovative technologies converge to build more livable, efficient, and environmentally conscious urban spaces.
Dr. Kai Hu
Guest Editor
Manuscript Submission Information
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