People-Centric Service Intelligence for Smart Cities

Hong, Xu; Geng, Xuexian

doi:10.3390/smartcities2020010

Cited by 41 publications

(28 citation statements)

References 73 publications

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“…The dynamic process can be found in Figure 4, by judging the burst keyword order such as: choice, smart growth, urban form, density, design, transportation. Just as some researchers said, there was an urgent transformation trend from data intelligence to service intelligence in the vision of smart cities due to the living requirements of citizens [46]. Keyword bursts also showed that the theme of the study changed quickly as time went on, and many branches of smart city research were synchronously thriving.…”

Section: Co-keyword and Keyword Citation Bursts Analysismentioning

confidence: 99%

Bibliometric Analysis on Smart Cities Research

et al. 2019

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Smart cities have been a global concern in recent years, involving comprehensive scientific research. To obtain a structural overview and assist researchers in making insights into the characteristics of smart cities research, bibliometric analysis was carried out in this paper. With the application of the bibliometric analysis software VOSviewer and CiteSpace, 4409 smart cities were identified by the core collection of the Web of Science in publications between 1998 and 2019 and used in the analysis of this paper. Concretely, this research visually demonstrates a comprehensive overview of the field relating to smart cities in terms of the production of regular publications, main domain of smart cities researchers, most influential countries (institutions, sources and authors), and interesting research directions in the smart city researches. We also present the research collaboration among countries (regions), organizations and authors based on a series of cooperation analyses. The bibliometric analysis of the existing work provided a valuable and seminal reference for researchers and practitioners in smart cities-related research communities.

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Section: Co-keyword and Keyword Citation Bursts Analysismentioning

confidence: 99%

Bibliometric Analysis on Smart Cities Research

et al. 2019

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“…Xu suggests that based on the trend of richness and extensiveness of social network development, the administration is called upon to use intelligent means to collect multiple types of data in the community, to implement proactive innovation in the administration, and to actively experience the reasonable ideas and needs of community residents to expand the coverage of public services [7]. Bibri and Krogstie suggest that the smart network governance approach makes community governance democratic and effective [8].…”

Section: Related Studiesmentioning

confidence: 99%

Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities

Liang

2021

Complexity

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In this paper, we study the structural optimization of community governance in smart cities and optimize the structure based on the game analysis of dynamic planning evolution. Theoretically, the connotation and extension of the concept of “self-organization” are cleared, and the environment and conditions of community self-organization formation, the formation process of community self-organization, and the types of community self-organization are discussed. The so-called “self-organization” is a process of spontaneously moving from disorder to order, and the environment and conditions of community self-organization are mainly the openness, nonequilibrium state, and nonlinearity of the system. The key parameters of the contract with the change of the values of each factor make up for the inability to collect data for the empirical study in this paper; then, it presents four linear stages along with the cause such as self-creation, self-expansion, self-maintenance, and self-degeneration, respectively. The types of community self-organization mainly include community self-organization with random aggregation, socialized community self-organization, and stable community self-organization with autonomy orientation. By systematically sorting out the relationship between community self-organization and government, while confirming the positive significance of community self-organization to community cultural governance, various complex conflicts and game relationships will deeply affect the actual effectiveness of cultural governance and provide useful knowledge reference for future community cultural governance.

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“…The paradigm of the world's smart cities is the primary focus of the data. While data collection is a necessary process, the assignment of data content and in particular the focus on the human factor should not be forgotten [14]. The basic motivation for the proper management of any area of a smart city is to provide its citizens with a people-oriented model that acknowledges and specifies the distinctive characteristics of culture, stakeholder satisfaction and generally accepted and applied equality [14].…”

Section: Building Smart City Approachesmentioning

confidence: 99%

The Impact of Cultural Aspects on Building the Smart City Approach: Managing Diversity in Europe (London), North America (New York) and Asia (Singapore)

Šulyová

Vodák

2020

Sustainability

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One of the main motives for creating this article was to explore the importance of cultural aspects in building smart city approaches. The aim of this article was to obtain answers to three research questions, the answers to which made it possible to identify the elements of multiculturalism that affect the development of smart cities, to find out how multiculturalism affects smart cities and how to manage diversity. The ambition was to create and organize the most important findings into a comprehensive framework. To achieve this goal, secondary analysis methods were used by examining the literature and case studies of best practices from Europe, North America, and Asia. The choice of case studies was conditioned by the placement of smart cities in four global indices (smart city index, Arcadis, IESE and global power index), the existence of a multicultural strategy and elements of successful diversity management, including positive effects and possible limitations. In addition, methods of analysis, comparison and summarization were used. Effective diversity management acts as an accelerator of the sustainable development of smart cities. The results of the analysis of the case studies serve as a basis for recommendations and the creation of a proposed general model, whose task is to simplify the adoption of intelligent concepts, which creates space for the specification of local or cultural conditions of the country. Testing the model in practice is the subject of the following research activities of the authors.

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People-Centric Service Intelligence for Smart Cities

Cited by 41 publications

References 73 publications

Bibliometric Analysis on Smart Cities Research

Bibliometric Analysis on Smart Cities Research

Game Analysis of Dynamic Planning Evolution for the Optimization of Community Governance Structure in Smart Cities

The Impact of Cultural Aspects on Building the Smart City Approach: Managing Diversity in Europe (London), North America (New York) and Asia (Singapore)

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