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Topical Collection "Sustainable Smart Cities and Villages"

A topical collection in Sustainability (ISSN 2071-1050). This collection belongs to the section "Sustainable Urban and Rural Development".

Editors

Guest Editor
Prof. Miltiadis D. Lytras

1. School of Business, Deree—The American College of Greece, 6 Gravias Street GR-153 42 Aghia Paraskevi Athens, Greece
2. Effat University, Jeddah, Saudi Arabia
Website | E-Mail
Interests: cognitive computing; artificial intelligence; data science; bioinformatics; innovation; big data research; data mining; emerging technologies; information systems; technology driven innovation; knowledge management
Guest Editor
Prof. Anna Visvizi

1. School of Business, Deree—The American College of Greece, 6 Gravias Street GR-153 42 Aghia Paraskevi Athens, Greece
2. Effat University, Jeddah, Saudi Arabia
Website | E-Mail
Interests: smart cities; political economy of European integration, politics, economy, and security in Central Europe, Visegrad (V4) countries; global safety and security, including transatlantic relations, and theoretical dimensions of these processes

Topical Collection Information

Dear Colleagues,

Technological evolution is a continuous process creating new opportunities to implement significant, high impact, humanistic visions. However, there is great concern about the current mode of exploiting technologies towards this objective. Research on smart cities, on the other hand, provides an excellent context for the cultivation of a collaborative, synergetic, community-driven integration of human minds, cultural individual contributions, the launch of businesses, interoperability and even happiness. It is quite straightforward to realize that human happiness in urban settings is no longer a priority. We propose that the improvement of human happiness should be the highest objective of any smart city initiative, whether driven by technology or not.

The objective of this Special Issue is to disseminate the latest high quality, interdisciplinary research in the domain of urban computing and smart cities and to also introduce the concept of smart villages as a key response to the desertification of the countryside through the adoption of integrative strategies for human development and economic growth with the use of sophisticated technology.

This Special Issue seeks to uncover and present the latest developments in meeting the needs of modern smart cities and smart villages towards sustainable development, prosperity and happiness for humanity.

For this Special Issue, we welcome papers dealing with case studies, literature reviews, survey findings, analytical methods, and tools. Examples of topics of interest include:

  • Studies on sustainable smart cities research;
  • Elaborations of the concept of smart villages;
  • Smart urban applications for different domains of human activity including education, transportation, energy, accessibility, policy-making, governance, entertainment, collaboration, behavior, etc.;
  • Advanced information and communication technologies for smart cities research including data mining, analytics, cloud computing, open source technologies, virtual and augmented reality, collaborative platforms, content management systems, etc.;
  • Policy-making and sustainable government initiatives for smart social businesses and entrepreneurship in villages and rural areas;
  • Case studies, prototypes and project deliverables related to smart cities research;
  • Irregular migratory flows and smart villages initiatives;
  • Public consultation and open smart democracy.

Prof. Miltiadis D. Lytras
Prof. Anna Visvizi
Guest Editors

Manuscript Submission Information

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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. Sustainability 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 1700 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
  • Smart villages
  • Smart urban applications
  • Data mining
  • Analytics
  • Cloud computing and open source technologies
  • Sustainability
  • Entrepreneurship
  • Economic growth
  • Irregular migratory flows
  • Smart technologies
  • ICTs
  • Open democracy
  • Open government
  • Smart education
  • Smart innovation

Published Papers (4 papers)

2019

Open AccessReview Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018
Sustainability 2019, 11(4), 1077; https://doi.org/10.3390/su11041077
Received: 24 January 2019 / Revised: 14 February 2019 / Accepted: 15 February 2019 / Published: 19 February 2019
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Abstract
Smart cities (SC) promote economic development, improve the welfare of their citizens, and help in the ability of people to use technologies to build sustainable services. However, computational methods are necessary to assist in the process of creating smart cities because they are [...] Read more.
Smart cities (SC) promote economic development, improve the welfare of their citizens, and help in the ability of people to use technologies to build sustainable services. However, computational methods are necessary to assist in the process of creating smart cities because they are fundamental to the decision-making process, assist in policy making, and offer improved services to citizens. As such, the aim of this research is to present a systematic review regarding data mining (DM) and machine learning (ML) approaches adopted in the promotion of smart cities. The Methodi Ordinatio was used to find relevant articles and the VOSviewer software was performed for a network analysis. Thirty-nine significant articles were identified for analysis from the Web of Science and Scopus databases, in which we analyzed the DM and ML techniques used, as well as the areas that are most engaged in promoting smart cities. Predictive analytics was the most common technique and the studies focused primarily on the areas of smart mobility and smart environment. This study seeks to encourage approaches that can be used by governmental agencies and companies to develop smart cities, being essential to assist in the Sustainable Development Goals. Full article
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Open AccessArticle The Spatiotemporal Coupling Characteristics of Regional Urbanization and Its Influencing Factors: Taking the Yangtze River Delta as an Example
Sustainability 2019, 11(3), 822; https://doi.org/10.3390/su11030822
Received: 2 January 2019 / Revised: 29 January 2019 / Accepted: 31 January 2019 / Published: 5 February 2019
Cited by 1 | PDF Full-text (5816 KB) | HTML Full-text | XML Full-text
Abstract
The research on the coupling coordination of regional urbanization is of great significance for achieving sustainable urbanization. Based on the theories of coordinated development, this paper constructs an index system for comprehensive evaluation of the three sub-systems of urbanization (population, economy and land [...] Read more.
The research on the coupling coordination of regional urbanization is of great significance for achieving sustainable urbanization. Based on the theories of coordinated development, this paper constructs an index system for comprehensive evaluation of the three sub-systems of urbanization (population, economy and land urbanization). Then, the entropy method, coupling coordination degree model and spatial autocorrelation analysis are used to explore the spatiotemporal characteristics of overall and pairwise coordination among population, land and economy urbanization. Finally, the geographic detector model is used to analyze the influencing factors in the urbanization process. The results show that: (1) the levels of population, land and economy urbanization in the Yangtze River Delta have been improved from 2001 to 2016. The overall and pairwise coupling coordination degrees among them also continue to improve and the stage characteristics are presented. (2) The spatial distribution of low-level and high-level coupling coordination cities shows a certain spatial dependence and a Z-shaped pattern, respectively. The spatiotemporal characteristics of pairwise coupling coordination indicate regional imbalance of the urbanization. (3) The overall coupling coordination degree of urbanization has an apparent spatial autocorrelation, with its local spatial correlation patterns dominated by the High–High and Low–Low type agglomeration. Significant differences in local spatial correlation patterns of the pairwise coupling coordination suggest that regional synergy should not be neglected. (4) The economic development level is the main factor influencing the spatiotemporal differentiation of the coupling coordination of urbanization. Location traffic conditions and population agglomeration effect are the second most influencing factors. The evolution mechanisms of coupling coordination of urbanization are affected by factors in change. The findings highlight the importance of dealing with the relationship among population, land and economy in the process of regional urbanization and have implications for promoting the integration of urban agglomerations. Full article
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Open AccessArticle The Formation of Government-Oriented Creative Community and Its Driving Mechanisms: A Case Study of the 39° Space Art Creative Community in Foshan, China
Sustainability 2019, 11(3), 625; https://doi.org/10.3390/su11030625
Received: 2 December 2018 / Revised: 16 January 2019 / Accepted: 22 January 2019 / Published: 24 January 2019
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Abstract
With the arrival of the era of the creative economy, the “creative community”, a joint product of the regional/community revival movement and the localization of cultural and creative industries, has become a new goal of sustainable urban development. Creative communities can be government-oriented [...] Read more.
With the arrival of the era of the creative economy, the “creative community”, a joint product of the regional/community revival movement and the localization of cultural and creative industries, has become a new goal of sustainable urban development. Creative communities can be government-oriented (top-down), or they can involve a sequence of autogenic developments (bottom-up) depending on the initial motivating force behind their formation. This paper provides a case study of the government-oriented Foshan 39° Space Art Creative Community (hereinafter, the 39° Community), though questionnaires, interviews, field observations, and other methods, to obtain a better understanding of how government-oriented creative communities formed. The paper discusses the mechanisms driving such communities in Chinese cities by constructing a driving mechanism model. The results show that policy decisions, under a special policy and industrial background jointly provided by the Foshan municipal government and the Nanhai District government together, is the initial impetus for the emergence of the 39° Community. The community has a concise and flexible organizational structure, creative community members, reasonable community function partitioning, a vibrant and innovative environment, and a variety of creative elements. Finally, the key to the sustainable development of the government-oriented creative community lies in the combined effect of endogenous and exogenous motivations that include a strong support from the local government, market demand, a favorable location, high-quality community services, and creative spirit. High-quality community service is a critical factor in the interaction between exogenous forces and endogenous factors because it can create bridges among governments, enterprises, employees, and the community. Full article
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Open AccessArticle Spatial Spillover of House Prices: An Empirical Study of the Yangtze Delta Urban Agglomeration in China
Sustainability 2019, 11(2), 544; https://doi.org/10.3390/su11020544
Received: 6 December 2018 / Revised: 30 December 2018 / Accepted: 16 January 2019 / Published: 21 January 2019
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Abstract
This study investigates the spatial dependence of house prices in the Yangtze Delta Urban Agglomeration since the year 2000. According to Moran’s I index and the LISA scatter plot derived from a cross-section data set, the spatial dependence of house prices can be [...] Read more.
This study investigates the spatial dependence of house prices in the Yangtze Delta Urban Agglomeration since the year 2000. According to Moran’s I index and the LISA scatter plot derived from a cross-section data set, the spatial dependence of house prices can be traced across the 25 cities in the agglomeration and became more evident after 2005. This study develops a spatial panel model with geographical distance and economic distance weight matrices. Spatial effects significantly influenced house prices in both cases but the intensity of the former was weaker than for the latter. Income, proportion of the tertiary industry, and amenity exhibited significant indirect effects on house prices in other cities in the inner region of the agglomeration, while competition of population between cities with economic proximity exerted negative indirect effects. Furthermore, urban industrial structure, innovation capability, and urbanization degree revealed differences in terms of spatial dependence among various city groups. Full article
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