Advances in Data Analytics for 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: 20 September 2026 | Viewed by 166
Special Issue Editors
Interests: intelligent computing for urban traffic; multi-source data fusion and updates; fine-grained knowledge representation learning for communities; pedestrian navigation
Interests: intelligent computing for urban traffic; geological data modeling; pedestrian navigation
Interests: fundamental theories of geographic information systems, platform development, and geological data modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of urbanization worldwide has catalyzed the emergence of smart cities as a transformative paradigm for the sustainable design, planning, and management of urban environments. As cities become increasingly data-rich, there is unprecedented potential to harness high‑volume, multi‑source big data for actionable decision‑making. Efficient data analytics lies at the core of this transformation, enabling cities to become more resilient, inclusive, and responsive to societal needs. Advanced data analytics algorithms, deep learning techniques, spatial–temporal modeling, and artificial intelligence have shown transformative potential in addressing critical urban challenges such as traffic optimization, energy efficiency, environmental monitoring, public safety, resource allocation, and citizen engagement. However, the heterogeneity of urban data, the high dimensionality of information streams, and the complexity of real‑world dynamics pose significant challenges across methodology, scalability, and practical implementation.
The primary goal of this Special Issue is to gather cutting-edge research in urban big data analytics, geo-spatial intelligence, and AI-driven urban systems, exploring how advanced data analytics methods can enable smarter, more efficient, and more sustainable urban ecosystems. It seeks contributions that bridge methodological innovation, system design, and empirical case studies, as well as those critically examining the socio-technical implications of data-driven urban interventions.
We welcome submissions that address, but are not limited to, the following themes:
- Urban big data integration and fusion;
- Urban spatial knowledge representation and learning;
- Deep learning methods for urban analysis;
- Spatial–temporal analytics and urban dynamics;
- Decision support systems for urban planning;
- Smart mobility and transportation analytics;
- Environmental monitoring and resilience modeling;
- Citizen centric services and urban digital twins;
- Urban navigation services.
Dr. Lin Yang
Dr. Zejun Zuo
Dr. Bo Wan
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- urban analytics
- urban dynamics
- geo-spatial intelligence
- AI-driven methods
- sustainable urban systems
- knowledge representation and learning
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