Developing a Framework for Spatial Effects of Smart Cities Based on Spatial Econometrics

Liu, Kongling; Wang, Mengjun; Liu, Jianchang; Huang, Jingjing; Huang, Xuhui; Chen, Shuhang; Cheng, Baoquan

doi:10.1155/2021/9322112

Cited by 6 publications

(7 citation statements)

References 21 publications

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“…As a result, different forms of gardens have emerged. ese forms of gardening are in line with the current values of returning to nature and ecological effects [29]. In fact, modern gardens and social development are mutually influential.…”

Section: Introductionmentioning

confidence: 85%

Analysis of the Artistic Effect of Garden Plant Landscaping in Urban Greening

Tian

2022

Computational Intelligence and Neuroscience

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At present, China is at an essential stage in the progress of social civilisation. At the same time, China's current economic level is developing rapidly and the level of urbanisation is also increasing. However, the uncontrolled development of urban space and excessive consumption of land resources have led to many urban ecological and environmental problems. As a result, there is an urgent need to improve the urban habitat. Plant landscaping is an important part of the urban environment. In addition, plant landscaping is also a crucial part of the visual arts and plays a key role in the shaping of urban spaces. In the context of the urban construction boom, people are increasingly demanding quality in the urban environment. Spatial scale, as a vital factor influencing the visual effect of planting, is gradually becoming a focus of landscape design. Urban greening based on plant landscape can not only improve the urban ecological environment and enhance people’s quality of life but also resolve the contradiction between the demand for urban green space and the continuous reduction of urban greening land. Therefore, plant landscaping is recognised as a key step towards global sustainable development. However, according to current research and application practice, the development of urban greenery is limited and hindered by the value of plant landscaping and its applications. In addition, no comprehensive theoretical system has yet been established at the plant scale. In other words, there are still problems of scale in plant landscaping, such as unreasonable density, disproportion, and unclear hierarchy. Therefore, this paper begins with the definition of plant spatial scale in the city and analyses plant spatial types and scale characteristics from multiple perspectives, so as to establish an overall knowledge of plant landscaping. After that, through a study of the current situation of plant landscaping in cities, a quantitative analysis of the visual scale of plant space in urban squares is carried out to address the issues of plant scale design in this research. The focus of the analysis is on the scale of plants in relation to related elements. Furthermore, this study explores the influence of visual aesthetic scale and psychological scale on planting based on the functional scale of plant elements. Finally, the above quantitative analyses are applied to derive some relative data criteria and to summarise the design strategies for the spatial scale of planting in the city. The findings of this study can provide some guiding suggestions and references for the future construction of urban greenery, thus promoting the orderly development of plant landscaping in cities.

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Section: Introductionmentioning

confidence: 85%

Analysis of the Artistic Effect of Garden Plant Landscaping in Urban Greening

Tian

2022

Computational Intelligence and Neuroscience

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“…Среди таких технологий они выделяют машинное обучение, Интернет вещей (IoT), мобильные вычисления, большие данные, блокчейн, сети шестого поколения (6G), WiFi-7, индустрию 5.0, роботизированные системы и другие [1]. Научный интерес вызывает зарубежный опыт применения данных технологий, в особенности технико-управленческий подход к созданию умных городов с использованием Интернета вещей [2,3], выявлены ключевые факторы, влияющие на развитие умных городов на примере Китая, в частности, государственная поддержка в стране, инновационный уровень, экономическое развитие и человеческий капитал [4]. Если рассматривать особенности развития городского туризма, то, безусловно, он связан с технологическим развитием и процессом внедрения цифровых технологий, здесь туристу открываются возможности от планирования путешествий до автоматической генерации маршрутов с объектами туристского показа [5].…”

Section: основные положения обзор литературыunclassified

“…Информация о финансировании 4. Liu K.L., Wang M.J., Li J.C., Huang J.J., Huang X.H., Chen S.H., Cheng B.Q.…”

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Peculiarities of using digital technologies in the development of urban tourist routes: the best world practices

Mamrayeva

Tashenova

Grebenyuk

2022

jour

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The relevance of the research is due to the issues of qualitative change in the process of serving tourists in the context of digitalization. The effective using of digital technologies, which allow automating, accelerating and modernizing these processes, will have a positive impact on the level of tourism development in the country. The purpose of the research is to identify the features of using the digital technologies in the development of urban tourist routes based on successful foreign experience. The article uses general scientific methods, in particular the content analysis method, which made it possible to analyze an array of information from theoretical approaches to digitalization and digital technologies in tourism to digital platforms and specialized programs for the development of tourist routes, as well as a graphical interpretation method. The article clearly presents examples and directions of using digital technologies in the tourism industry: BigData, AR / VR, Blockchain, IoT, tourist route development portals, mobile applications. Particular attention is paid to the issues of their use in the development of urban tourist routes. The scheme of the process of interactive involvement in the process of perception of the tourist experience is reflected. On the example of popular urban tourist sites the advantages and results of the introduction of virtual and augmented reality, mobile technology and audio guides are revealed. This study has revealed the role and importance of digital technology in the development of urban tourism routes on the example of international practices.

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“…Their study helps policymakers under budget constraints prioritize smart city initiatives, thereby maximizing the return of smart city investments. Liu et al (2021) use a spatial econometric model to identify key factors influencing smart city development with a sample of 83 Chinese cities. Their results show that governmental support, innovativeness, economic development and human capital are the four key factors that help policymakers make decisions to develop smart cities.…”

Section: Introductionmentioning

confidence: 99%

A multi-dimensional city data embedding model for improving predictive analytics and urban operations

Jing

Luo

et al. 2022

IMDS

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PurposeA smart city is a potential solution to the problems caused by the unprecedented speed of urbanization. However, the increasing availability of big data is a challenge for transforming a city into a smart one. Conventional statistics and econometric methods may not work well with big data. One promising direction is to leverage advanced machine learning tools in analyzing big data about cities. In this paper, the authors propose a model to learn region embedding. The learned embedding can be used for more accurate prediction by representing discrete variables as continuous vectors that encode the meaning of a region.Design/methodology/approachThe authors use the random walk and skip-gram methods to learn embedding and update the preliminary embedding generated by graph convolutional network (GCN). The authors apply this model to a real-world dataset from Manhattan, New York, and use the learned embedding for crime event prediction.FindingsThis study’s results show that the proposed model can learn multi-dimensional city data more accurately. Thus, it facilitates cities to transform themselves into smarter ones that are more sustainable and efficient.Originality/valueThe authors propose an embedding model that can learn multi-dimensional city data for improving predictive analytics and urban operations. This model can learn more dimensions of city data, reduce the amount of computation and leverage distributed computing for smart city development and transformation.

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Developing a Framework for Spatial Effects of Smart Cities Based on Spatial Econometrics

Cited by 6 publications

References 21 publications

Analysis of the Artistic Effect of Garden Plant Landscaping in Urban Greening

Analysis of the Artistic Effect of Garden Plant Landscaping in Urban Greening

Peculiarities of using digital technologies in the development of urban tourist routes: the best world practices

A multi-dimensional city data embedding model for improving predictive analytics and urban operations

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