scholarly journals A Bibliometric Diagnosis and Analysis about Smart Cities

2020 ◽  
Vol 12 (16) ◽  
pp. 6357
Author(s):  
Luis Miguel Pérez ◽  
Raul Oltra-Badenes ◽  
Juan Vicente Oltra Gutiérrez ◽  
Hermenegildo Gil-Gómez
Keyword(s):  
Smart Cities ◽  
Quantitative Description ◽  
Noun Phrases ◽  
Scientific Concept ◽  
Sustainable Cities ◽  
Research Topics ◽  
Knowledge Based ◽  
Intelligent Cities ◽  
Number Of Publications ◽  
Historical References

This article aims to present a bibliometric analysis of Smart Cities. The study analyzes the most important journals during the period between 1991 and 2019. It provides helpful insights into the document types, the distribution of countries/territories, the distribution of institutions, the authors’ geographical distribution, the most active authors and their research interests or fields, the relationships between principal authors and more relevant publications, and the most cited articles. This paper also provides important information about the core and historical references and the most cited papers. The analysis used the keywords and thematic noun-phrases in the titles and abstracts of the sample papers to explore the hot research topics in the top journals (e.g., ‘Smart Cities’, ‘Intelligent Cities’, ‘Sustainable Cities’, ‘e-Government’, ‘Digital Transformation’, ‘Knowledge-Based City’, etc.). The main objective is to have a quantitative description of the published literature about Smart Cities; this description will be the basis for the development of a methodology for the diagnosis of the maturity of a Smart City. The results presented here help to define the scientific concept of Smart Cities and to measure the importance that the term has gained through the years. The study has allowed us to know the main indicators of the published literature in depth, from the date of publication of the first articles and the evolution of these indicators to the present day. From the main indicators in the literature, some were selected to be applied: The most influential journals on Smart Cities according to the general citation structure in Smart Cities, Global Impact Factor of Smart Cities, number of publications, publications on Smart Cities around the world, and their correlation.

scholarly journals Analysis of gamification in the context of Smart and Sustainable Cities

2018 ◽  
Author(s):  
Camilla Damiani ◽  
Lidiomar Machado ◽  
Ana Carolina Tomé Klock ◽  
Guilherme Medeiros Machado ◽  
Isabela Gasparini ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Smart Cities ◽  
Persuasive Technology ◽  
Sustainable Cities ◽  
Digital Revolution ◽  
Change Behavior ◽  
Management Of Resources ◽  
Two Factors ◽  
Intelligent Cities

The digital revolution of rapid technological rise and the high movement of urbanization are two factors that determine the transformation of the current society, which creates a scenario favorable to the phenomenon of intelligent cities. One of the main objectives for the design of these cities is that there is an improvement in the lives of citizens. In order to promote and sustain change behavior among citizens it is essential to recognize the use of gamification as persuasive technology. This article addresses a study based on the management of resources for intelligent cities combined with the use of gamification where four articles were analyzed and from them a comparative analysis was elaborated. Keywords: smart cities, sustainable cities, gamification.

From Intelligent to Smart Cities

2013 ◽  
pp. 84-106 ◽  
Author(s):  
Mark Deakin
Keyword(s):  
Knowledge Transfer ◽  
Capacity Building ◽  
Smart Cities ◽  
Learning Needs ◽  
Ongoing Debate ◽  
European Cities ◽  
Knowledge Based ◽  
Intelligent City ◽  
E Learning ◽  
Intelligent Cities

This chapter develops the notion of the intelligent city as the smart provider of electronically-enhanced services. Set within the ongoing debate about competitive cities, it identifies how the growing interest in the notion of intelligent cities has led universities to explore the possibilities of using ‘communities of practice’ (CoPs) as a way of drawing upon the work-based learning such knowledge-based organizations offer to be smart in developing integrated models of e-government (eGov) services. It reports on the attempts made by a consortium of leading European cities to use the intelligence of CoPs as the organizational means to be smart in developing models of eGov services capable of integrating the e-learning needs, knowledge transfer requirements, and capacity building commitments of their socially-inclusive and participatory urban regeneration programmes.

Introduction

2020 ◽  
pp. 1-10
Author(s):  
Maurizio Forte ◽  
Helena Murteira
Keyword(s):  
Exponential Growth ◽  
Daily Life ◽  
Smart Cities ◽  
Knowledge Based ◽  
Intelligent Cities

Digital cities, intelligent cities, knowledge-based cities, and smart cities are designations that refer to the permeation of the digital into the daily life of cities and the resulting exponential growth and accessibility of urban resources. This digital/technological component can be summarized in the following categories:...

scholarly journals Scientific Landscape of Smart and Sustainable Cities Literature: A Bibliometric Analysis

2020 ◽  
Vol 12 (3) ◽  
pp. 779 ◽  
Author(s):  
Agnieszka Janik ◽  
Adam Ryszko ◽  
Marek Szafraniec
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Scientific Field ◽  
Sustainable Cities ◽  
Research Topics ◽  
Scientific Cooperation ◽  
Sustainable City ◽  
Rapid Urbanization ◽  
Number Of Publications ◽  
Prolific Authors

The smart sustainable city (SSC) is a concept created in response to problems and challenges arising from rapid urbanization. This is a relatively new term that is developing dynamically, which is confirmed by the growing number of publications over recent years. For this reason, this article presented an up-to-date comprehensive bibliometric analysis to describe and assess the scientific landscape of smart and sustainable cities literature. The analysis was based on two bibliographic sources—the Web of Science Core Collection and the Scopus database. It covers publications on the SSC, as well as documents describing the smart city (SC) and the sustainable city (SuC) concepts separately. VOSviewer and Biblioshiny were selected as software tools for the bibliometric analysis. Based on the descriptive bibliometric analysis, quantity and quality indicators were determined separately for the SC, SuC, and SSC concepts, while the network analysis mapped and covered the level of multi-faceted scientific cooperation in the field of the SSC research. The analysis results were intended to familiarize scholars and practitioners with the most prolific authors, sources, institutions, and countries in the analyzed scientific field, to identify the most influential research channels and impact from authors, sources, countries, and research topics, to determine major clusters of the SSC research and also to provide valuable information for further investigation.

scholarly journals A novel model for data-driven smart sustainable cities of the future: the institutional transformations required for balancing and advancing the three goals of sustainability

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Simon Elias Bibri
Keyword(s):  
Smart Cities ◽  
Case Study Research ◽  
Development Planning ◽  
Three Dimensions ◽  
Data Driven ◽  
Sustainable Cities ◽  
Sustainable Urbanism ◽  
The Future ◽  
Novel Model ◽  
Smart Urbanism

AbstractIn recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential of data-driven technologies. Indeed, the processes and practices of both of these approaches to urban planning and development are becoming highly responsive to a form of data-driven urbanism, giving rise to a new phenomenon known as “data-driven smart sustainable urbanism.” Underlying this emerging approach is the idea of combining and integrating the strengths of sustainable cities and smart cities and harnessing the synergies of their strategies and solutions in ways that enable sustainable cities to optimize, enhance, and maintain their performance on the basis of the innovative data-driven technologies offered by smart cities. These strengths and synergies can be clearly demonstrated by combining the advantages of sustainable urbanism and smart urbanism. To enable such combination, major institutional transformations are required in terms of enhanced and new practices and competences. Based on case study research, this paper identifies, distills, and enumerates the key benefits, potentials, and opportunities of sustainable cities and smart cities with respect to the three dimensions of sustainability, as well as the key institutional transformations needed to support the balancing of these dimensions and to enable the introduction of data-driven technology and the adoption of applied data-driven solutions in city operational management and development planning. This paper is an integral part of a futures study that aims to analyze, investigate, and develop a novel model for data-driven smart sustainable cities of the future. I argue that the emerging data-driven technologies for sustainability as innovative niches are reconfiguring the socio-technical landscape of institutions, as well as providing insights to policymakers into pathways for strengthening existing institutionalized practices and competences and developing and establishing new ones. This is necessary for balancing and advancing the goals of sustainability and thus achieving a desirable future.

scholarly journals A Review on the Adoption of Agile Methods in the Technology Development for Smart Cities

2019 ◽  
Author(s):  
Vanessa Rocha ◽  
Lucas Alves ◽  
Valdemar Vicente ◽  
Graciano Neto ◽  
Mohamad Kassab
Keyword(s):  
Technology Development ◽  
Smart Cities ◽  
Sustainable Cities ◽  
Communication Management ◽  
Systematic Mapping ◽  
Agile Processes ◽  
Agile Methodologies ◽  
Development Lifecycle ◽  
Develop Software ◽  
Standard Concept

Smart cities are a standard concept of automated and sustainable cities that adopt technology to increase efficiency in communication, management and globalization of information. Despite the success of the concept, there is an emerging need to develop and deploy software and software-based systems for these cities. Thus, agile methodologies can play an important role, once they are broadly adopted in systems development lifecycle. This paper presents the result of a systematic mapping conducted on agile processes to develop software for smart cities. A systematic mapping identified 246 studies, from which 10 were selected for analysis and presentation of the results obtained.

scholarly journals A Scientometric Analysis of Publications Related to Predictive Medicine

2020 ◽  
pp. paper81-1-paper81-12
Author(s):  
Aida Khakimova ◽  
Dongxiao Gu ◽  
Oleg Zolotarev ◽  
Maria Berberova ◽  
Michael Charnine
Keyword(s):  
Noun Phrases ◽  
Subject Area ◽  
Research Trends ◽  
Free Software ◽  
Scientometric Analysis ◽  
Research Topics ◽  
Pubmed Database ◽  
Preventive And Personalized Medicine ◽  
New Research ◽  
And Personalized Medicine

Due to the increasing popularity of new research in medicine thisstudy was conducted to determine recent research trends of predictive, preventive and personalized medicine (PPM). We identified the terms relevant to PPM using own search engine based on neural network processing in PubMed database. We extracted initially about 15000 articles. Then we carried out the statistical analysis for identifying research trends. The article presents the results of solving the problem of evaluating research topics at the level of thematic clusters in a separate subject area. An approach based on the analysis of article titles has been implemented. Identification of terms, connections between them and thematic clustering were carried out using the free software VOSViewer, which allows to extract terms in the form of noun phrases, as well as to cluster them.

A dependency-based machine learning approach to the identification of research topics: a case in COVID-19 studies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haoran Zhu ◽  
Lei Lei
Keyword(s):  
Machine Learning ◽  
Noun Phrases ◽  
New Method ◽  
Learning Models ◽  
Linguistic Features ◽  
Research Topics ◽  
Content Type ◽  
Research Areas ◽  
Information Retrieval Methods ◽  
Machine Learning Models

PurposePrevious research concerning automatic extraction of research topics mostly used rule-based or topic modeling methods, which were challenged due to the limited rules, the interpretability issue and the heavy dependence on human judgment. This study aims to address these issues with the proposal of a new method that integrates machine learning models with linguistic features for the identification of research topics.Design/methodology/approachFirst, dependency relations were used to extract noun phrases from research article texts. Second, the extracted noun phrases were classified into topics and non-topics via machine learning models and linguistic and bibliometric features. Lastly, a trend analysis was performed to identify hot research topics, i.e. topics with increasing popularity.FindingsThe new method was experimented on a large dataset of COVID-19 research articles and achieved satisfactory results in terms of f-measures, accuracy and AUC values. Hot topics of COVID-19 research were also detected based on the classification results.Originality/valueThis study demonstrates that information retrieval methods can help researchers gain a better understanding of the latest trends in both COVID-19 and other research areas. The findings are significant to both researchers and policymakers.

Citizen Participation in Smart Sustainable Cities

2022 ◽  
pp. 967-987
Author(s):  
Ezgi Seçkiner Bingöl
Keyword(s):  
Gender Equality ◽  
Citizen Participation ◽  
Smart City ◽  
Good Governance ◽  
Smart Cities ◽  
Sustainable Cities ◽  
Sustainable City ◽  
Participation Mechanisms ◽  
The Relationship ◽  
City Literature

Citizen participation and sustainability are two main concepts used in the definitions in the smart city literature. Citizen participation is often used within the context of improving good governance in smart cities. Its relationship with sustainability is seldomly discussed. This study analyses the relationship between the concepts of smart city, smart sustainable city, and citizen participation, and discusses how citizen participation is shaped in smart sustainable cities. In light of this analysis, seven types of citizen participation mechanisms are studied. The findings of the study reveal that sustainability in smart cities is only considered within the framework of environmental matters, while citizen participation is only considered as a mechanism aimed at supporting good governance. The study recommends using these participation mechanisms to highlight other aspects of sustainability such as securing comprehensiveness, alleviating poverty, promoting gender equality and to focus on other aspects of citizen participation such as real participation and democratic effectiveness.

scholarly journals Environmentally data-driven smart sustainable cities: applied innovative solutions for energy efficiency, pollution reduction, and urban metabolism

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Simon Elias Bibri ◽  
John Krogstie
Keyword(s):  
Energy Efficiency ◽  
Big Data ◽  
Real Time ◽  
Environmental Sustainability ◽  
Smart Cities ◽  
Data Driven ◽  
Urban Metabolism ◽  
Pollution Reduction ◽  
Illustrative Case ◽  
Sustainable Cities

AbstractThe IoT and big data technologies have become essential to the functioning of both smart cities and sustainable cities, and thus, urban operational functioning and planning are becoming highly responsive to a form of data-driven urbanism. This offers the prospect of building models of smart sustainable cities functioning in real time from routinely sensed data. This in turn allows to monitor, understand, analyze, and plan such cities to improve their energy efficiency and environmental health in real time thanks to new urban intelligence functions as an advanced form of decision support. However, prior studies tend to deal largely with data-driven technologies and solutions in the realm of smart cities, mostly in relation to economic and social aspects, leaving important questions involving the underlying substantive and synergistic effects on environmental sustainability barely explored to date. These issues also apply to sustainable cities, especially eco-cities. Therefore, this paper investigates the potential and role of data-driven smart solutions in improving and advancing environmental sustainability in the context of smart cities as well as sustainable cities, under what can be labeled “environmentally data-driven smart sustainable cities.” To illuminate this emerging urban phenomenon, a descriptive/illustrative case study is adopted as a qualitative research methodology§ to examine and compare Stockholm and Barcelona as the ecologically and technologically leading cities in Europe respectively. The results show that smart grids, smart meters, smart buildings, smart environmental monitoring, and smart urban metabolism are the main data-driven smart solutions applied for improving and advancing environmental sustainability in both eco-cities and smart cities. There is a clear synergy between such solutions in terms of their interaction or cooperation to produce combined effects greater than the sum of their separate effects—with respect to the environment. This involves energy efficiency improvement, environmental pollution reduction, renewable energy adoption, and real-time feedback on energy flows, with high temporal and spatial resolutions. Stockholm takes the lead over Barcelona as regards the best practices for environmental sustainability given its long history of environmental work, strong environmental policy, progressive environmental performance, high environmental standards, and ambitious goals. It also has, like Barcelona, a high level of the implementation of applied data-driven technology solutions in the areas of energy and environment. However, the two cities differ in the nature of such implementation. We conclude that city governments do not have a unified agenda as a form of strategic planning, and data-driven decisions are unique to each city, so are environmental challenges. Big data are the answer, but each city sets its own questions based on what characterize it in terms of visions, policies, strategies, pathways, and priorities.

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