Smart city image landscape design based on wireless sensors

2021 ◽  
Vol 83 ◽  
pp. 104022
Author(s):  
Aijun Jia ◽  
Cunfu Xu
2018 ◽  
Vol 227 ◽  
pp. 03008
Author(s):  
Han Zang ◽  
Yong-gang An ◽  
Xiaolin Pang

Under the background of the rise of the national theme park, the design connotation of the theme park, the scientific planning of landscape design and the design of the surrounding environment make the theme park more suitable for the aesthetics of tourists, enhance the satisfaction of tourists, and then improve the theme park. Overall quality. Taking Taiji Lake Kung Fu city theme park of Wudang Mountains in Hubei Province as an example, combined with the important influence of cognitive map theory on park planning, this paper analyzes the design of the Taiji Lake Kungfu City theme park through the five elements of the cognitive map city image, and the Kung Fu City theme park. The construction proposes targeted recommendations and effective design.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Weijun Yang ◽  
Xiaohuan Xi ◽  
Liang Guo ◽  
Zhaoxia Chen ◽  
Yong Ma

With the development of society and the improvement of urban economic level, people are no longer satisfied with the simple material and functional requirements of the city; thus, the spiritual requirements of city beauty, environmental quality, place atmosphere, and so on need to be improved. Based on the above background, the purpose of this paper is to analyze the landscape planning of Guangzhou’s digital city based on spatial information from the perspective of smart cities. Based on the relevant theoretical research, this paper combs the ideas of intelligent urban road landscape design. This paper analyzes the concept of urban road and smart road and puts forward the definition and characteristics of intelligent urban road landscape; according to the research on the development status of urban road and the connotation of smart city, combined with the concept and principle of urban road landscape design, it summarizes the design method of smart city road landscape. This paper, taking the innovative design of urban landscape as the research object and using the research methods of literature analysis and field investigation, innovatively combines the urban landscape design with digital information technology, changes the traditional landscape design ideas, constructs the urban landscape innovative design model, realizes the personalization of the urban landscape design, as well as the intelligent, digital, diversified, and humanized service and function. The experimental results show that nearly 60% of people are satisfied with the Guangzhou digital urban landscape planning based on spatial information in the smart city perspective.


2016 ◽  
Vol 11 (4) ◽  
pp. 359-370 ◽  
Author(s):  
Eliza Farelnik ◽  
Agnieszka Stanowicka

The objective of the study is characteristics of two development concepts of modern cities, i.e. smart city and slow city, and showing the possibilities of combining them in the proposed slow city model, drawing upon the assumptions of a smart city, which was determined as the smart slow city. Conclusions mainly rely on the performed reference literature studies (using the critical literature review method), which allowed for a synthetic presentation of the characteristics of the two discussed models of development, which are the basis for an independent description of the city model that unites these two approaches. The comparison of city development models was made on the basis of the following characteristics: the genesis of the city development idea, the rate of changes and the model of life related to it, key city development factors, the main objective of changes, key actors, activity areas, specialisation, scale of urban centres, city image, level of development policy, significance of cooperation, determinants or limitations in the implementation of the city development concept. Such an attempt of combining, by modern cities, of the potential offered by two development concepts (smart city and slow city), may contribute to the creation of an image of a modern city, the so-called smart slow city which, as a member of the Cittaslow network, considers the quality of residents' life as a priority, and uses modern technological solutions.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Juan Shan ◽  
Zhuo Huang ◽  
Sibo Chen ◽  
Yue Li ◽  
Wenli Ji

The fast urban development leads to many complex problems. A smart city aims to solve these problems using scientific approaches. Urban Green Space (UGS) is a fundamental component of urban infrastructure. It needs to be upgraded simultaneously with the concept of the smart city. Methods of smart UGS planning and sustainable landscape design help integrate ecological performance and other functions of UGS. Smart UGS planning is a technical management tool and a human-centered smart application. A novel UGS classification method based on function combinations is proposed in the present work. Five types of UGS (Scenic UGS, Residential UGS, Commercial UGS, Office UGS, and Road UGS) in Baqiao District of Xi’an, Shaanxi Province, are selected as sample sites. Interviewees’ socio-economic attributes, visiting frequencies, and differences in demands are investigated. Eventually, the UGSs researched in this work are optimized based on public preferences and the current conditions of the sites. Results demonstrate the following. (1) The public’s preference for different types of UGS is different considerably. (2) Based on the public’s preference, Scenic UGS is improved in terms of quantity, function, and management; Residential UGS is upgraded regarding quantity and accessibility; and Commercial UGS, Office UGS, and Road UGS are improved in terms of quality. The results could provide methodological references for planning different types of UGS and innovative insights for smart UGS planning and sustainable landscape design.


2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Dan Shi ◽  
Lixin Song

City image is the observer’s subjective impression of the city image. It is an important content of urban geography and planning research and has important guiding significance for shaping a unique urban space. Cognitive research on traditional urban imagery is mainly by means of questionnaires and image sketches. It has problems such as high cost, low update frequency, and limited data coverage, which cannot meet the needs of quantitative research on smart cities and urban economic development in the information age. With the advent of the era of big data and the development of Internet technology, there are more and more quantitative research results on smart city image cognition with the help of big data and deep learning technology. It will be a feasible way to apply it to urban image research. This article combines the development and transformation of smart cities with the transformation of urban planning and leads to an innovation in the construction of urban image cognition based on urban image, active representation data as the data source, and deep learning as the core technology. The theoretical connotation and cognitive dimension of urban imagery are expanded to establish a cognitive model of urban imagery. The city image is cognitively analyzed from three dimensions: image structure, image type, and image evaluation. Specific cities are taken as examples to verify the applicability and scientificity of the cognitive methods and models, so as to enhance the practicality and applicability of urban imagery in urban planning. At the same time, this research is used to answer the development dilemma of big data, summarize the development trend of big data, and explore the new changes that artificial intelligence brings to urban planning. The experimental results show that the model we designed efficiently evaluates the image of the city and can also effectively recognize the image of the city in the main urban area of Chongqing.


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