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Numerical Analysis and Calculation for Urban Street Landscape Spatial Pattern

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  • Fangfei Bi
  • Haotian Liu
  • Sagheer Abbas

Abstract

In recent years, there are many problems in the construction of street landscape spatial pattern, such as emphasizing the surface, ignoring the substance, focusing on construction, and ignoring protection. The reason is closely related to the lack of visual evaluation of streetscape for guidance. This research mainly discusses the numerical analysis and calculation for the spatial pattern of urban streetscape. This study clarifies the related concepts of visual evaluation of urban streetscape and discusses the formation process, overall characteristics, and constituent elements of streetscape. It emphasizes the importance of two subjective and objective factors of “landscape†and “vision†for evaluation. This paper studies this spatial composition relationship from the perspective of street space and the building itself. In the research process, it selects the pedestrian street in the northwest of the city as the object and uses the questionnaire survey method and the multifactor evaluation method to carry out the visual evaluation of the streetscape. It deeply discusses the application of evaluation methods in practice and counts the relevant evaluation results. In the urban street space proportion curve and the corresponding comparative analysis, it is found that most of the street space proportion is between 0.6 and 3.0. This kind of space composition has mutual inclusive symmetry, which enhances the order and communication of urban architecture. This somewhat improves this alienated spatial morphological pattern. This research is helpful to promote the development of streetscape visual evaluation.

Suggested Citation

  • Fangfei Bi & Haotian Liu & Sagheer Abbas, 2022. "Numerical Analysis and Calculation for Urban Street Landscape Spatial Pattern," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, July.
  • Handle: RePEc:hin:jnlmpe:2183373
    DOI: 10.1155/2022/2183373
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