Special Issue "Smart Government in Smart Cities"

A special issue of Informatics (ISSN 2227-9709).

Deadline for manuscript submissions: closed (15 July 2017)

Special Issue Editor

Guest Editor
Prof. Dr. Manuel Pedro Rodríguez Bolívar

Department of Accounting and Finance, Faculty of Business Studies, University of Granada, C/ Campus Universitario de Cartuja, s/n, 18071 Granada, Spain
Website | E-Mail
Interests: e-government; smart cities; e-participation; social media

Special Issue Information

Dear Colleagues,

This Special Issue of Informatics welcomes submissions on the topic of smart technologies and their applications to public administration in Smart Cities. In the early 21st century, the use of information and communication technologies (usually ICTs) and data has been considered as the means to solve the city’s economic, social and environmental challenges and it has been thought to rationalize and improve government because it has the potential to transform governance and organizational issues. Under this framework, the Smart Cities concept has gained a lot of attention, but studies about Smart Cities have been focused mainly on business-led urban development, on the social inclusion agenda, on the role of creative industries in urban growth, on the importance of social capital in urban development and on the urban sustainability. This special issue should contribute to the literature by filling the existing void and expanding knowledge in the field of the implementation of smart technologies into public administration in different fields, such as the improvement of transparency, efficiency (in public services, in sustainability, in mobility into a municipality, etc.), governance in a smart city, as well as the study of organizational issues arisen by these implementations. Therefore, I encourage authors to submit their original research articles, work in progress, surveys, reviews, and viewpoint articles in this field. This Special Issue welcomes applications, theories, models, and frameworks—whether conceptual, analytical, prescriptive, predictive, design-related, or otherwise—that are concerned with (but not limited to) the following topics:

  • Smart technologies implemented in public sector entities for improving transparency and interoperability (open data, disclosure of information, etc.).
  • Smart technologies implemented in public sector entities for improving efficiency (in the delivery of public sector services, in smart mobility, in smart environment, and in smart living).
  • Smart technologies implemented in public sector entities for improving governance of the city.
  • Organizational issues in the implementation of smart technologies in public sector entities.
  • Comparative studies on smart technologies implemented in public sector entities.
  • Empirical analysis on smart technologies and their best fit for public administrations in making Smart Cities to be successful.

Prof. Dr. Manuel Pedro Rodríguez Bolívar
Guest Editor

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. Informatics 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) is waived for well-prepared manuscripts submitted to this issue. 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 Governance
  • Smart Cities
  • Smart technologies
  • Smart Governments

Published Papers (3 papers)

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Research

Open AccessArticle Data Governance in the Sustainable Smart City
Informatics 2017, 4(4), 41; doi:10.3390/informatics4040041
Received: 23 July 2017 / Revised: 18 October 2017 / Accepted: 6 November 2017 / Published: 15 November 2017
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Abstract
The wisdom of ‘smart’ development increasingly shapes urban sustainability in Europe and beyond. Yet, the ‘smart city’ paradigm has been critiqued for favouring technological solutions and business interests over social inclusion and urban innovation. Despite the rhetoric of ‘citizen-centred approaches’ and ‘user-generated data’,
[...] Read more.
The wisdom of ‘smart’ development increasingly shapes urban sustainability in Europe and beyond. Yet, the ‘smart city’ paradigm has been critiqued for favouring technological solutions and business interests over social inclusion and urban innovation. Despite the rhetoric of ‘citizen-centred approaches’ and ‘user-generated data’, the level of stakeholder engagement and public empowerment is still in question. It is unclear how smart city initiatives are developing common visions according to the principles of sustainable urban development. This paper examines how data governance in particular is framed in the new smart city agenda that is focused on sustainability. The challenges and opportunities of data governance in sustainability-driven smart city initiatives are articulated within a conceptual Framework on Sustainable Smart City Data Governance. Drawing on three cases from European countries and a stakeholder survey, the paper shows how governance of data can underpin urban smart and sustainable development solutions. The paper presents insights and lessons from this multi-case study, and discusses risks, challenges, and future research. Full article
(This article belongs to the Special Issue Smart Government in Smart Cities)
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Open AccessArticle In Search of Smartness: The EU e-Justice Challenge
Informatics 2017, 4(4), 38; doi:10.3390/informatics4040038
Received: 4 August 2017 / Revised: 31 October 2017 / Accepted: 1 November 2017 / Published: 8 November 2017
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Abstract
At the EU level, an increasing number of resources are being invested in an attempt to provide better public services through the use of Information and Communication Technology (ICT). While new tools are being designed and implemented, a shift from ‘traditional’ technologies that
[...] Read more.
At the EU level, an increasing number of resources are being invested in an attempt to provide better public services through the use of Information and Communication Technology (ICT). While new tools are being designed and implemented, a shift from ‘traditional’ technologies that must be used to provide services to more interactive ‘smart’ technologies is beginning to take place. At the same time, an adequate understanding of the implications of this shift is still missing. This paper focuses on the EU e-Justice experience with the ‘API-for-Justice’ project, which investigates the challenges of opening up the European e-Justice Digital Service Infrastructure to external service providers by means of Application Programming Interfaces (APIs). In particular, the exploration of potential services that can be provided by third parties through APIs for Justice shows the potential for a radical redesign of the justice service provision, where, for example, justice services are not requested by the party but are proposed or initiated by smart components of the infrastructure on the basis of inputs from the environment. In this perspective, smart technology research and, in particular, Brenner (2007)’s discussion on law and smart technology help to uncover the still unclear dynamics of change that characterize one of the key pillars of modern society: justice. Full article
(This article belongs to the Special Issue Smart Government in Smart Cities)
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Open AccessArticle Reinforcement Learning for Predictive Analytics in Smart Cities
Informatics 2017, 4(3), 16; doi:10.3390/informatics4030016
Received: 30 March 2017 / Revised: 26 May 2017 / Accepted: 22 June 2017 / Published: 24 June 2017
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Abstract
The digitization of our lives cause a shift in the data production as well as in the required data management. Numerous nodes are capable of producing huge volumes of data in our everyday activities. Sensors, personal smart devices as well as the Internet
[...] Read more.
The digitization of our lives cause a shift in the data production as well as in the required data management. Numerous nodes are capable of producing huge volumes of data in our everyday activities. Sensors, personal smart devices as well as the Internet of Things (IoT) paradigm lead to a vast infrastructure that covers all the aspects of activities in modern societies. In the most of the cases, the critical issue for public authorities (usually, local, like municipalities) is the efficient management of data towards the support of novel services. The reason is that analytics provided on top of the collected data could help in the delivery of new applications that will facilitate citizens’ lives. However, the provision of analytics demands intelligent techniques for the underlying data management. The most known technique is the separation of huge volumes of data into a number of parts and their parallel management to limit the required time for the delivery of analytics. Afterwards, analytics requests in the form of queries could be realized and derive the necessary knowledge for supporting intelligent applications. In this paper, we define the concept of a Query Controller ( Q C ) that receives queries for analytics and assigns each of them to a processor placed in front of each data partition. We discuss an intelligent process for query assignments that adopts Machine Learning (ML). We adopt two learning schemes, i.e., Reinforcement Learning (RL) and clustering. We report on the comparison of the two schemes and elaborate on their combination. Our aim is to provide an efficient framework to support the decision making of the QC that should swiftly select the appropriate processor for each query. We provide mathematical formulations for the discussed problem and present simulation results. Through a comprehensive experimental evaluation, we reveal the advantages of the proposed models and describe the outcomes results while comparing them with a deterministic framework. Full article
(This article belongs to the Special Issue Smart Government in Smart Cities)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Fusion of Crowd-Sourcing and Smart Sensing for Flood Mapping in Coastal Mega-Cities
Authors: P. Perez, M. Berryman, R. Ogie and R. Clarke

Title: Reinforcement Machine Learning for Predictive Analytics in Smart
Cities
Authors: Kostas Kolomvatsos (University of Thessaly); Christos
Anagnostopoulos (University of Glasgow)
Abstract: The digitization of our lives cause a shift in the data
production as well as in the required data management. Numerous nodes
are capable of producing huge volumes of data in our everyday
activities. Sensors, personal smart devices as well as the Internet of
Things (IoT) paradigm lead to a vast infrastructure that covers all the
aspects of activities in modern societies. In the most of the cases, the
critical issue for public authorities (usually, local like
municipalities) is the efficient management of data towards the support
of novel services. The reason is that analytics provided on top of the
collected data could help in the delivery of new applications that will
facilitate citizens' lives. However, the provision of analytics demands
intelligent techniques for the underlying data management. The most
known technique is the separation of huge volumes of data into a number
of parts and their parallel management to limit the required time for
the delivery of analytics. Afterwards, analytics requests in the form of
queries could be realized and derive the necessary knowledge for
supporting intelligent applications. In this paper, we define the
concept of a Query Controller (QC) that receives queries for analytics
and assigns each of them to a processor placed in front of each data
partition. We discuss an intelligent process for query assignments that
adopts Machine Learning (ML). We adopt two learning schemes, i.e.,
Reinforcement Learning (RL) and clustering. We report on the comparison
of the two schemes and elaborate on their combination. Our aim is to
provide an efficient framework to support the decision making of the QC
that should swiftly select the appropriate processor for each query. We
provide mathematical formulations for the discussed problem and present
simulation results. Through a comprehensive experimental evaluation, we
reveal the advantages of the proposed models and describe the outcomes
results while comparing them with a deterministic framework.

Authors: Elsa Negre and SABROUX CAMILLE

Abstract: Smart Cities have to cope with many challenges, including, technological or human evolutions. Unfortunately, they also face more demanding challenges such as public safety. Indeed, they are increasingly targets of (groups of) malevolent people. It is already known that a more connected city, with a good Information System (IS), is more prone to protect public. The fact that the IS and the city are consubstantial is crucial; the IS is not visible, but is the way in which individuals and organizations communicate, whether face-to-face or using technological and digital means. But can we go further in prevention?
Here, we rely on the fact that in the smart city the Digital Information System is now present everywhere. We add the fact that individuals and organizations play an essential role in the IS, and we present the concept of the City Information and Knowledge System (CIKS). This concept leads to a clear definition of data, information and knowledge. We introduce also the model of the Knowledge Worker which leads to awareness of the subjacent intentions of human actions, trying to model the potentially dangerous individuals and organizations within the smart city.
Identifying individuals and organizations that may potentially cause flaws in the smart city, may contribute to prevent the problems. 

 

Title: E-Justice Smart Technologies and Justice Fundamental Values: the cases of the Italian Trial Online and of the English and Wales Money Claim Online.
Authors: Giampiero Lupo
Abstract: Recently, the Smart Technology concept has gained a growing attention between scholars and practitioners. However, most of the scholars and specialized journals focusing on Smart Cities and Smart technologies, dealt mainly with urban development technologies, health-care technologies or e-government, while there is a scarce attention towards technologies developed in order to digitalize justice procedures (e-justice). On the other hand, the literature on e-justice and practitioners often look at justice technologies from the point of view of their capacity of improving the efficiency of courts (by for instance speeding up procedures) and overlooking the potential effects on fundamental justice values. Indeed, justice systems in democratic societies provide a set of services, but, above all, support a set of values that refer, in general to the rule of law, such as judges’ independence and impartiality, equality of access, fair trial, and procedural transparency. Also e-justice systems are supposed to pursue these values. This paper focuses on two real cases of e-justice services by focusing on their capacity of supporting fundamental justice values. The study deals with the Italian e-filing system Trial Online and with the English and Wales online system for payment orders called Money Claim Online. The paper first addresses the topic of justice fundamental values and of the capacity of technology of supporting them. Successively, the two mentioned e-justice smart technologies are described by focusing on their impact on fundamental justice values.

 

Title: Data governance in Smart City projects: Sustainability challenges
Authors: Krassimira Paskaleva, James Evans, Chris Martin, Trond Linjordet, and Dujuan Yang

 

Authors: Chandana Unnithan et al. (Torrens University Australia)
Abstract: The concept of smart city governance is an endeavour to embrace innovative technologies (commonly known as IoT or Internet of Things), efficiently to manage the needs of rising population in metropolitan cities. The density of urban population has risen in the past decade and so has the demographics of the largely immigrant population in the city of Melbourne, in Australia. As a result, there is an evolving need and efforts by the governance body of the city, to assimilate IoT into the lives of citizens. This research explores these innovative solutions that facilitate the evolving needs of the city, while engaging the citizens in the process.
The research has taken an exploratory approach, and presents the perspectives through the ‘Living Labs approach’ recommended by the Space and Global Health Experts Group (Committee on Peaceful Uses of Outer Space Affairs - COUPOUS) within the umbrella of the United Nations initiative of building sustainable communities. By engaging citizens in the process of assimilating IoT devices into their lives leads to fast paced adoption of the technologies. Engaging citizens leads to responsive communities and enable smart governance of the city. Observation through social media channels help evaluate the success of subtle interventions that assist in building sustainable communities, promote public health and well being, while enabling smart governance of the city.

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