Advances in Big Data Analysis in Smart Cities
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 July 2026 | Viewed by 2
Special Issue Editors
Interests: urban big data; remote sensing; deep learning; data fusion; environmental monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: thermal remote sensing; urban thermal environment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid progress of urbanization and digital transformation, smart cities represent a global trend in addressing challenges regarding sustainable development, public services, and urban governance. At the core of this evolution lies big data, which presents unprecedented opportunities in understanding complex urban systems and enabling data-driven decision-making. The surge of multi-source data—from remote sensing, IoT sensors, mobile devices, transportation systems, and social media—presents both opportunities and challenges for efficient storage, integration, and analysis. Advanced analytical techniques such as machine learning, deep learning, data mining, and spatial–temporal modeling are now reshaping how urban data can be transformed into actionable insights. This Special Issue aims to spotlight the latest advancements in big data analysis methods, technologies, and applications within the context of smart cities. By showcasing interdisciplinary research and innovative case studies, the issue seeks to promote sustainable, resilient, and inclusive urban development, while fostering new perspectives for intelligent city management and citizen-centered services.
Key topics of interest include the following:
Big data integration and fusion of multi-source heterogeneous urban data;
Advanced machine learning and deep learning methods for urban big data analysis;
Spatial-temporal modeling and prediction of urban dynamics in smart cities;
Data-driven decision support systems for urban governance, planning, and management;
Applications of big data analytics in smart city services.
Dr. Shouhang Du
Dr. Kangning Li
Guest Editors
Manuscript Submission Information
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Keywords
- big data analysis
- smart cities
- urban informatics
- machine learning
- deep learning
- spatial-temporal modeling
- data fusion
- sustainable urban
- development intelligent urban services
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