Titlebook: Digital Analysis of Urban Structure and Its Environment Implication; Weijun Gao Book 2023 The Editor(s) (if applicable) and The Author(s),

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https://doi.org/10.1007/978-3-319-74715-6urban renewal research. The deep learning-based image semantic segmentation method is an important part of computer vision technology, which provides a new method for visual quality evaluation of urban landscape. In this chapter, the core area of Shenyang (within the first ring road) was chosen as t

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https://doi.org/10.1007/978-1-4684-5041-5vironment is helpful to find the objective laws between them, which has great significance for rational urban layout and improvement of climate comfort. In this chapter, urban structure is divided into three categories: function, morphology, and underlying surface. The calculation methods of the sev

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Advances in 21st Century Human Settlementshttp://image.papertrans.cn/d/image/279104.jpg

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Theory and Method of Urban Structure and Environment, cities has long been closely linked to themes such as urban population mobility, urban development characteristics, urbanization, urban landscapes, urban ecosystems, and urban health. These studies have paved the way for revealing the structure and the environmental effects of cities. However, the

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Spatiotemporal Quantification and Identification of Urban Development and Its Characteristics,ent, many cities are mainly faced with uncoordinated development caused by rapid urbanization, large environmental problems, and obvious regional differences, which manifested urban sprawl and urban shrinkage in space. This chapter gives an overview of theories and methods of urban development asses