Abstract
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.
Highlights
Image is an abstract feeling and perception, generally refers to the mental image of a certain area or place in people’s mind, and is a comprehensive manifestation of people’s impressions, opinions, cognition, evaluation, and feelings
Using network photo data to study urban imagery can reflect people’s overall perception of the city in a more comprehensive and intuitive way, providing a new perspective and thinking for urban imagery [11,12,13,14,15]. From this point of view, this work combines urban development transformation and urban planning changes and leads to an innovation in the construction of urban image cognition based on urban image, active representation data as data source, and deep learning as the core technology. e theoretical connotation and cognitive dimension of urban imagery are expanded to establish a cognitive model of urban imagery. e city image is cognitively analyzed from three dimensions: image structure, image type, and image evaluation
E urban space of Chongqing is divided into the main urban area and the central urban area. e planning scope of the main urban area includes Yuzhong District, Dadukou District, Jiangbei District, Nan’an District, Shapingba District, Jiulongpo District, Beibei District, Yubei District, and Banan District. e central city is located between Zhongliang Mountain and Tongluo Mountain
Summary
Image is an abstract feeling and perception, generally refers to the mental image of a certain area or place in people’s mind, and is a comprehensive manifestation of people’s impressions, opinions, cognition, evaluation, and feelings. Urban space is an open and complex giant system, and people of different social classes have different observation perspectives and subjective evaluations. The research on the relationship between the urban environment and the public’s psychological cognition is still in a blank state. Until the 1960s, the American urban planning theorist Lynch K proposed the concept of urban image: it refers to the strong psychological image of the observer evoked by the city or the environment. E theoretical results in the book “Urban Image” have a profound and lasting influence on urban designers, psychologists, and geographers in various countries, and the Discrete Dynamics in Nature and Society perceptual research methods he advocated have been widely used [1,2,3,4,5] His book titled “ e Image Of e City” has been recognized as a milestone in the study of urban imagery. e theoretical results in the book “Urban Image” have a profound and lasting influence on urban designers, psychologists, and geographers in various countries, and the Discrete Dynamics in Nature and Society perceptual research methods he advocated have been widely used [1,2,3,4,5]
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