Special Issue "Big Data Analytics for Smart Cities"
Deadline for manuscript submissions: closed (15 December 2020).
Interests: data science; automated data analytics; transparent data mining; machine learning; text mining; concept drift methodologies; digital cities predictive maintenance
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Interests: data management; spatiotemporal information systems; big data and analytics; collaborative and distributed architectures; blockchain technology
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In the last few years, cities have become engines of wealth creation thanks to the advent of the new information and communication. The capability to both generate and collect the data of public interest within the urban area (e.g., information about social events, public service usage, and mobility) has increased at an unprecedented rate, to such an extent that data rapidly scales towards big (urban) data. Such abundance creates an unprecedented opportunity to understand the way people interact in and with the urban environment, and enables researchers to tackle important and urgent urban challenges (e.g., traffic congestion, air pollution, and energy sustainability) by adding intelligence to the urban environment.
The design and development of innovative services and solutions tailored to smart cities entails the acquisition, integration, and analysis of heterogeneous data (e.g., social network data, urban safety and security perception, mobility data, energy consumption data, and data that may increase citizen awareness on the urban environment). To collect, store, manage, and analyze data, as well as visualize the results of the data analysis process, in order to make them readable and usable by citizens, ubiquitous sensing technologies, advanced data management and analytics models, and novel visualization methods should be devised.
We invite the submission of high-quality manuscripts reporting relevant research addressing various aspects of urban data analytics. Contributions to this Special Issue should be of interest to a large and varied cross-disciplinary audience of researchers and practitioners, involved or interested in different perspectives of this topic. The Special Issue welcomes the submission of technical, experimental, and methodological papers; application papers, and papers on experience reports in real-life urban settings in one of, although not limited to, the following application scenarios:
- Public safety and security
- Air quality
- Energy consumption awareness
- Citizens' mobility
- User-generated content (such as tweets, micro-blogs, check-ins, and photos)
- Intelligent street furniture
Prof. Dr. Tania Cerquitelli
Prof. Dr. Sara Migliorini
Prof. Dr. SIlvia Chiusano
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Electronics 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 1800 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.
- machine learning
- urban data analytics
- citizen-centered perspective
- proactive citizen engagement
- transparent urban analytics
- cross- and inter-disciplinary methodologies