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8.5
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Journals
Smart Cities
Special Issues
Big Data Science for Cities Management
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Big Data Science for Cities Management

A special issue of Smart Cities (ISSN 2624-6511). This special issue belongs to the section "Smart Data".

Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 16244

Special Issue Editors

Dr. Didier Grimaldi

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Guest Editor
Department of Management, La Salle Faculty, Ramon Llull University, 08022 Barcelona, Spain
Interests: smart city; Artificial Intelligence; big data
Dr. Carlos Carrasco

E-Mail Website
Guest Editor
IESE Business School. University of Navarra, Spain
Interests: economics, management, urban strategy, data mining

Special Issue Information

Dear Colleagues,

It is commonly agreed that you can’t manage an organization of you do not measure its activity through the collection of business data. If this is evident for private companies, Grimaldi D., Carrasco C. and Fernandez,V. (2018) introduce how it may be also correct for the management of cities. This Special Issue aims at understanding how data science opens new perspectives to manage cities differently, more efficiently and better than has been the case so far. We have all read about the strength of data, but likely we do not recognize how to insert a data strategy into the urban transformation agenda of our cities. Our Special Issue will describe and analyse what urban data science means and how it can be applied to cope with the urban challenges of energy, transport, pollution, and waste management.

Dr. Didier Grimaldi
Dr. Carlos Carrasco
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. Smart Cities 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 2000 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

  • Data science
  • Big data
  • Smart city
  • Urban management
  • Urban efficiency
  • 5G
  • Artificial intelligence
  • Urban sustainability
  • Internet of Things

Published Papers (2 papers)

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Review

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20 pages, 3130 KiB  
Review
Application of Decision-Making Methods in Smart City Projects: A Systematic Literature Review
by Giang Tran Thi Hoang, Laurent Dupont and Mauricio Camargo
Smart Cities 2019, 2(3), 433-452; https://doi.org/10.3390/smartcities2030027 - 5 Sep 2019
Cited by 56 | Viewed by 10808
Abstract
In the current era, Smart City projects have to deal with big social, ecological, and technological challenges such as digitalization, pollution, democratic aspirations, more security, etc. The higher involvement of multi-stakeholders in the different phases of the projects is one strategy, enabling a [...] Read more.
In the current era, Smart City projects have to deal with big social, ecological, and technological challenges such as digitalization, pollution, democratic aspirations, more security, etc. The higher involvement of multi-stakeholders in the different phases of the projects is one strategy, enabling a variety of perspectives to be considered and thus to develop a shared vision of the city. Paradoxically, the dynamic and multiple natures of stakeholders appear to be a source of complication and uncertainty in the decision-making process. This study aims to provide a better understanding of this paradox and uses a systematic literature review methodology, as an original big data analysis, in order to investigate decision-making methods, enabling communication between multi-stakeholders, especially the involvement of citizens, into various phases of Smart City projects. Beginning with 606 papers, a bibliometric process led to the selection of 76 of these articles. Detailed analysis of these documents generated a general map for applying different decision-making methods at various levels of decision and implementation phases. Full article
(This article belongs to the Special Issue Big Data Science for Cities Management)
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10 pages, 247 KiB  
Perspective
Redefining the Use of Big Data in Urban Health for Increased Liveability in Smart Cities
by Zaheer Allam, Houriiyah Tegally and Meelan Thondoo
Smart Cities 2019, 2(2), 259-268; https://doi.org/10.3390/smartcities2020017 - 22 Jun 2019
Cited by 23 | Viewed by 5002
Abstract
Policy decisions and urban governance are being influenced by an emergence of data from internet of things (IoT), which forms the backbone of Smart Cities, giving rise to Big Data which is processed and analyzed by Artificial Intelligence models at speeds unknown to [...] Read more.
Policy decisions and urban governance are being influenced by an emergence of data from internet of things (IoT), which forms the backbone of Smart Cities, giving rise to Big Data which is processed and analyzed by Artificial Intelligence models at speeds unknown to mankind decades ago. This is providing new ways of understanding how well cities perform, both in terms of economics as well as in health. However, even though cities have been increasingly digitalized, accelerated by the concept of Smart Cities, the exploration of urban health has been limited by the interpretation of sensor data from IoT devices, omitting the inclusion of data from human anatomy and the emergence of biological data in various forms. This paper advances the need for expanding the concept of Big Data beyond infrastructure to include that of urban health through human anatomy; thus, providing a more cohesive set of data, which can lead to a better knowledge as to the relationship of people with the city and how this pertains to the thematic of urban health. Coupling both data forms will be key in supplementing the contemporary notion of Big Data for the pursuit of more contextualized, resilient, and sustainable Smart Cities, rendering more liveable fabrics, as outlined in the Sustainable Development Goal (SDG) 11 and the New Urban Agenda. Full article
(This article belongs to the Special Issue Big Data Science for Cities Management)
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