Special Issue "Smart City Technologies, Systems and Applications"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: closed (28 February 2017)

Special Issue Editors

Guest Editor
Dr. Zaheer Khan

University of the West of England, Bristol, UK
Website | E-Mail
Interests: smart cities; software engineering; distributed and cloud computing; business process management; participatory sensing; data management
Guest Editor
Associate Prof. David Ludlow

University of the West of England, Bristol, UK
Website | E-Mail
Interests: sustainable urban planning and environments; smart open governance and decision making
Guest Editor
Dr. Kamran Munir

University of the West of England, Bristol, UK
Website | E-Mail
Interests: Big Data architect and management; information systems; cloud computing; information and knowledge management; web and mobile computing

Special Issue Information

Dear Colleagues,

Information and Communication Technologies (ICT) are becoming increasingly pervasive in urban environments and providing the necessary basis for sustainability and resilience of the smart future cities. ICT, as the prime enabler for smart cities, transforms application-specific data into useful information and knowledge. This unique possibility of realisation of smart cities is being enabled by smarter “Internet of Things” (IoT), i.e., smart phones, sensor nets, smart household appliances, etc., and making efficient use of ever-increasing city data. New models of urban governance are also required to handle to complexity of city processes supporting the application of new information intelligence for decision making and policy development.

ICT tools for a smart city often deal with different application domains, e.g., land use, transport, energy, environment, health and rarely provide the essential integrated information perspective to deal with sustainability and socio-economic development, citizens’ quality of life and sustainability of the city. Smart cities can benefit from such data (often open data) and information using Big, and often real-time cross-thematic, data collection, processing, integration and sharing through inter-operable information services. However, such information utilisation requires appropriate software tools, services and technologies to collect, store, analyse and visualise large amounts of data from the city environment, as well as new models of open integrated and participatory urban governance linking citizens and various departments and agencies at city scale to generate new knowledge and support decision making.

In the above context, the real value of smart city data is gained by new knowledge generation and by performing context based data processing and analytics using various data mining, machine learning or statistical methods. This becomes challenging when applied to large scale or real time data and, hence, requires appropriate tools and techniques to be applied to process and generate required information. In addition, privacy and security issues must be dealt to avoid sharing intrusive details of participants. Topics of interest in the Special Issue include (but are not limited to):

  • Smart Mobility
  • Smart Energy Grids
  • Smart Homes
  • Smart Urban Governance
  • Internet of Things and Big Data
  • Smart and Intelligent Urban Data Analytics
  • Context Aware Systems for Smart Cities
  • Smart Cities Big Data Management
  • Smart Cities Data Analytics
  • Data Harmonisation, Integration and Processing
  • Smart Health
  • Software Technologies for Smart Cities
  • Environmental Modelling and Applications
  • Smart Cities Cross-thematic Applications
  • Public Participation and Crowd Sourcing
  • Smart Buildings and Building Information Modeling (BIM)
  • Connected Living Labs
  • Smart Data Security and Privacy Aspects

Paper Solicitation

This issue is an open Special Issue, where everyone is encouraged to submit papers. We will solicit papers in two ways: Workshop and open call-for-papers.

  1. Selected Papers from The 3rd International Workshop on Smart City Clouds: Technologies, Systems and Applications (SCCTSA 2016). This workshop covers theoretical and industrial research and results on smart city systems, tools and technologies which use cloud computing as underlying storage and processing infrastructure. It provides a platform for researchers, scholars and practitioners to exchange new ideas for solving complex societal challenges faced by cities. The website containing information about the SCCTSA 2016 workshop is: http://www1.uwe.ac.uk/et/research/cccs/events/scctsa2016.aspx High quality papers accepted from the workshop will be selected, based on the reviews and presentation during the workshop. Each selected paper must be substantially extended, with at least 50% development from the workshop version.
  2. Open Call-For-Papers: We also plan to send an open call-for-papers (CFP) to various smart city networks, projects and relevant mailing lists of researchers globally. It is expected that there will be number of papers submitted via the open call for papers. Each paper (including the selected papers from the workshop) will go through a rigorous peer-review process by at least three experts. The acceptance rate will be fairly low as we regard quality as our top priority. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal.

Dr. Zaheer Khan
Assoc. Prof. David Ludlow
Dr. Kamran Munir
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 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. Information is an international peer-reviewed open access quarterly 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 350 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
•    Internet of Things
•    Big Data
•    Cloud computing
•    Open governance

Published Papers (2 papers)

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Research

Open AccessArticle Dynamic, Interactive and Visual Analysis of Population Distribution and Mobility Dynamics in an Urban Environment Using the Mobility Explorer Framework
Information 2017, 8(2), 56; doi:10.3390/info8020056
Received: 28 February 2017 / Revised: 20 April 2017 / Accepted: 25 April 2017 / Published: 15 May 2017
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Abstract
This paper investigates the extent to which a mobile data source can be utilised to generate new information intelligence for decision-making in smart city planning processes. In this regard, the Mobility Explorer framework is introduced and applied to the City of Vienna (Austria)
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This paper investigates the extent to which a mobile data source can be utilised to generate new information intelligence for decision-making in smart city planning processes. In this regard, the Mobility Explorer framework is introduced and applied to the City of Vienna (Austria) by using anonymised mobile phone data from a mobile phone service provider. This framework identifies five necessary elements that are needed to develop complex planning applications. As part of the investigation and experiments a new dynamic software tool, called Mobility Explorer, has been designed and developed based on the requirements of the planning department of the City of Vienna. As a result, the Mobility Explorer enables city stakeholders to interactively visualise the dynamic diurnal population distribution, mobility patterns and various other complex outputs for planning needs. Based on the experiences during the development phase, this paper discusses mobile data issues, presents the visual interface, performs various user-defined analyses, demonstrates the application’s usefulness and critically reflects on the evaluation results of the citizens’ motion exploration that reveal the great potential of mobile phone data in smart city planning but also depict its limitations. These experiences and lessons learned from the Mobility Explorer application development provide useful insights for other cities and planners who want to make informed decisions using mobile phone data in their city planning processes through dynamic visualisation of Call Data Record (CDR) data. Full article
(This article belongs to the Special Issue Smart City Technologies, Systems and Applications)
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Open AccessArticle Developing Knowledge-Based Citizen Participation Platform to Support Smart City Decision Making: The Smarticipate Case Study
Information 2017, 8(2), 47; doi:10.3390/info8020047
Received: 28 February 2017 / Revised: 12 April 2017 / Accepted: 15 April 2017 / Published: 21 April 2017
Cited by 1 | PDF Full-text (5309 KB) | HTML Full-text | XML Full-text
Abstract
Citizen participation for social innovation and co-creating urban regeneration proposals can be greatly facilitated by innovative IT systems. Such systems can use Open Government Data, visualise urban proposals in 3D models and provide automated feedback on the feasibility of the proposals. Using such
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Citizen participation for social innovation and co-creating urban regeneration proposals can be greatly facilitated by innovative IT systems. Such systems can use Open Government Data, visualise urban proposals in 3D models and provide automated feedback on the feasibility of the proposals. Using such a system as a communication platform between citizens and city administrations provides an integrated top-down and bottom-up urban planning and decision-making approach to smart cities. However, generating automated feedback on citizens’ proposals requires modelling domain-specific knowledge i.e., vocabulary and rules, which can be applied on spatial and temporal 3D models. This paper presents the European Commission funded H2020 smarticipate project that aims to achieve the above challenge by applying it on three smart cities: Hamburg, Rome and RBKC-London. Whilst the proposed system architecture indicates various innovative features, a proof of concept of the automated feedback feature for the Hamburg use case ‘planting trees’ is demonstrated. Early results and lessons learned show that it is feasible to provide automated feedback on citizen-initiated proposals on specific topics. However, it is not straightforward to generalise this feature to cover more complex concepts and conditions which require specifying comprehensive domain languages, rules and appropriate tools to process them. This paper also highlights the strengths of the smarticipate platform, discusses challenges to realise its different features and suggests potential solutions. Full article
(This article belongs to the Special Issue Smart City Technologies, Systems and Applications)
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