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Future Internet
Special Issues
Sustainable Smart City
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Sustainable Smart City

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".

Deadline for manuscript submissions: closed (30 December 2021) | Viewed by 19757

Special Issue Editors

Dr. Bokolo Anthony Jnr.

E-Mail Website
Guest Editor
Department of Computer Science, Norwegian University of Science and Technology, 7010 Trondheim, Norway
Interests: smart cities; green IT; green IS; blended learning; risk mitigation
Special Issues, Collections and Topics in MDPI journals
Dr. Söbah Abbas Petersen

E-Mail Website
Guest Editor
Department of Computer Science, Norwegian University of Science and Technology, NTNU, NO-7491 Trondheim, Norway
Interests: smart cities; complex systems; agents; enterprise architecture modelling; e-learning; artificial intelligence; information management; knowledge representation; information science; knowledge engineering; conceptual modeling; ambient intelligence; knowledge-based systems
Dr. Armin Shams

E-Mail Website
Guest Editor
Lero and Kemmy Business School, University of Limerick, Limerick, Ireland
Interests: digital transformation of cities; smart cities; data integration and interoperability, enterprise architecture, change management; program management; artificial intelligence; cloud service analytics

Special Issue Information

Dear Colleagues,

Today, more than 54% of the world’s population resides in cities. With almost four billion people presently residing in cities, a global trend of digital-age urbanization is ongoing. An increasing number of cities are advancing their cities into smarter cities. This development is leading to digital transformation of cities in deploying technological approaches with the objective of addressing social, environmental, and economic problems.

This current transition of cities influenced by digital technologies enables innovative approaches and enhanced digital services by using information communication technologies for managing cities operations. Furthermore, one of the most significant opportunities that are available today is the abundance of data that cities produce. Open data is a concept that several researchers and cities are exploring to provide services in smart cities. In a smart city data is no longer produced and owned by a single actor but are generated from different partners that collaborates together to provide value added services to citizens and stakeholders.

This Special Issue invites original research papers on innovative methods, technologies, applications and systems for sustainable smart cities. Research that draws on theoretical or/and practical perspectives are welcomed. Relevant topics include, but are not limited to:

  • Digital transformation of cities
  • Smart city ICT architecture
  • Smart city enterprise architecture
  • Smart city reference architecture
  • Citizen/community engagement
  • Stakeholder participation
  • Smart city governance
  • Data management in smart cities
  • Data driven services and applications
  • Smart city services
  • Data interoperability
  • System alignment
  • Collaborative services
  • Digital/smart services
  • Smart city models and approaches
  • Blockchain/Distributed Ledger Technology DLTs
  • Service-Oriented Enterprise Architectures (SoEA)
  • Cloud-services or Edge-to-Cloud-services
  • Cloud and Edge/Fog computing

Dr. Bokolo Anthony Jnr.
Dr. Sobah Abbas Petersen
Dr. Armin Shams
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 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. Future Internet is an international peer-reviewed open access monthly 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 1600 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

  • smart cities
  • sustainable city
  • data management
  • digital services
  • smart services
  • architecture
  • blockchain
  • edge computing
  • fog computing

Published Papers (4 papers)

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Research

17 pages, 4340 KiB  
Article
Intelligent Planning and Research on Urban Traffic Congestion
by Qigang Zhu, Yifan Liu, Ming Liu, Shuaishuai Zhang, Guangyang Chen and Hao Meng
Future Internet 2021, 13(11), 284; https://doi.org/10.3390/fi13110284 - 08 Nov 2021
Cited by 8 | Viewed by 4443
Abstract
For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for [...] Read more.
For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning. Full article
(This article belongs to the Special Issue Sustainable Smart City)
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10 pages, 222 KiB  
Article
Smart Cities in Russia: Current Situation and Insights for Future Development
by Artem Yuloskov, Mohammad Reza Bahrami, Manuel Mazzara and Iouri Kotorov
Future Internet 2021, 13(10), 252; https://doi.org/10.3390/fi13100252 - 28 Sep 2021
Cited by 12 | Viewed by 6932
Abstract
The development of smart cities is a clear growing trend all around the world. The convergence of different technological, social, political, economical, and ecological trends has allowed the concepts to rise up quickly in governmental agendas. In this paper, we analyze the situation [...] Read more.
The development of smart cities is a clear growing trend all around the world. The convergence of different technological, social, political, economical, and ecological trends has allowed the concepts to rise up quickly in governmental agendas. In this paper, we analyze the situation of Russia regarding smart cities. Moscow, Saint Petersburg, and Kazan are considered at the “Smart City 3.0” stage of development, meaning that the citizens are participating in their advancement. Our reasons to focus on Russia are two-fold: (1) we know the situation well, as we live and work in a new city, Innopolis, founded in 2015 and meant to be a blueprint for smart cities; (2) large Russian cities are actively developing projects in this sphere and are highly regarded worldwide in these endeavors. It is therefore worth analyzing the context and the trends. By studying the scientific literature and categorizing the features of smart cities the world over, we found that large Russian cities are developing most of the components necessary in order to be called smart. Herein we also discuss areas of possible growth for Russian cities, such as green technologies and a smart environment. Full article
(This article belongs to the Special Issue Sustainable Smart City)
21 pages, 6203 KiB  
Article
Vulnerability Assessment of Ubiquitous Cities Using the Analytic Hierarchy Process
by Muhammad Atiq Ur Rehman Tariq, Cheuk Yin Wai and Nitin Muttil
Future Internet 2020, 12(12), 235; https://doi.org/10.3390/fi12120235 - 21 Dec 2020
Cited by 2 | Viewed by 4146
Abstract
Urbanization is a challenge faced by most countries worldwide and leads to several problems. Due to rapid communication capabilities, conforming the megacities into Ubiquitous cities (U-cities) seems to be a potential solution to mitigate the problems caused by urbanization. Extensive reliance and dependencies [...] Read more.
Urbanization is a challenge faced by most countries worldwide and leads to several problems. Due to rapid communication capabilities, conforming the megacities into Ubiquitous cities (U-cities) seems to be a potential solution to mitigate the problems caused by urbanization. Extensive reliance and dependencies of U-cities on information and communication technologies (ICTs) bring forth a new set of risks and vulnerabilities to these megacities. This research investigates the vulnerabilities of ICTs against man-made and natural hazards in a systematic way using the Analytic Hierarchy Process. The study identifies the vulnerabilities of different ICTs in U-cities and helps in improving the system’s resistivity against various hazards. The task is performed by evaluating the level of disruption on the different technologies and areas under the identified man-made and natural hazards. The research provides an insight into the working mechanisms of involved ICTs. It also helps to manage U-cities with more secure and sustainable services. The research identified that the new ICTs-based hazards have emerged and have become among the most influential hazards. The research has concluded that the vulnerabilities of U-cities are significantly different from that of conventional cities and need further studies to develop further understandings. The research recommends similar vulnerability studies for regional areas as well. Full article
(This article belongs to the Special Issue Sustainable Smart City)
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20 pages, 2015 KiB  
Article
An Empirical Recommendation Framework to Support Location-Based Services
by Animesh Chandra Roy, Mohammad Shamsul Arefin, A. S. M. Kayes, Mohammad Hammoudeh and Khandakar Ahmed
Future Internet 2020, 12(9), 154; https://doi.org/10.3390/fi12090154 - 17 Sep 2020
Cited by 3 | Viewed by 3129
Abstract
The rapid growth of Global Positioning System (GPS) and availability of real-time Geo-located data allow the mobile devices to provide information which leads towards the Location Based Services (LBS). The need for providing suggestions to personals about the activities of their interests, the [...] Read more.
The rapid growth of Global Positioning System (GPS) and availability of real-time Geo-located data allow the mobile devices to provide information which leads towards the Location Based Services (LBS). The need for providing suggestions to personals about the activities of their interests, the LBS contributing more effectively to this purpose. Recommendation system (RS) is one of the most effective and efficient features that has been initiated by the LBS. Our proposed system is intended to design a recommendation system that will provide suggestions to the user and also find a suitable place for a group of users and it is according to their preferred type of places. In our work, we propose the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm for clustering the check-in spots of the user’s and user-based Collaborative Filtering (CF) to find similar users as we are considering constructing an interest profile for each user. We also introduced a grid-based structure to present the Point of Interest (POI) into a map. Finally, similarity calculation is done to make the recommendations. We evaluated our system on real world users and acquired the F-measure score on average 0.962 and 0.964 for a single user and for a group of user respectively. We also observed that our system provides effective recommendations for a single user as well as for a group of users. Full article
(This article belongs to the Special Issue Sustainable Smart City)
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