Method for identifying urban land vigor mode and influence factors

A technology of influencing factors and vitality, applied in the field of data processing, can solve problems such as large research units, narrow scope of application, inability to handle high-dimensional big data, etc., and achieve high accuracy

Pending Publication Date: 2020-11-06
SOUTHEAST UNIV
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Problems solved by technology

The main deficiencies of urban vitality analysis using big data include: ① The accuracy of the correlation analysis of the static characteristics of the built environment in the planning field is relatively low, and the research unit is relatively large, and it is mainly used to analyze the overall spatial structure of the city on a large scale. fine static feature distinction
② In terms of the dynamic characteristics of vitality patterns, traditional urban data processing methods cannot handle such high-dimensional big data, and it is difficult to quickly identify and classify the characteristics of spatio-temporal data, and the classification is usually manually scored and screened based on the prior knowledge of planning, which consumes a lot of time. long time, low efficiency
③ When analyzing the influence mechanism between the two, the traditional method mainly uses pearson correlation analysis, which is only suitable for testing whether there is a linear relationship between two sets of data that are normally distributed, and the scope of application is narrow , while the urban vitality system is complex, and the influence of elements of the built environment on vitality is not necessarily linear

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  • Method for identifying urban land vigor mode and influence factors

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Embodiment Construction

[0030] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0031] As shown in the figure, a method for identifying urban land use vitality patterns and influencing factors described in the present invention is divided into two parts on the basis of first defining the spatial scope, time scope, and basic spatial units of the research area:

[0032] The first part discloses a method for feature extraction and feature clustering of urban spatio-temporal vitality intensity data.

[0033] The second part obtains vector data of urban land use patterns.

[0034] Then, in the case of a unified coordinate system, various indicators are fused to construct a progressive gradient regression model under different types of vitality models,...

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Abstract

The invention discloses a method for identifying an urban land vigor mode and influence factors. The method comprises the following steps: extracting and clustering features of urban space-time vigorintensity data; vector data of an urban land utilization mode are obtained, under the condition of a unified coordinate system, various data are subjected to space fusion and are fused and unified into the same research unit, a progressive gradient regression model of an urban vitality influence mechanism is constructed, and main influence factors and combination modes of different vitality modesare analyzed. The first half part of the method utilizes a non-negative matrix factorization technology; small-scale fine dynamic feature extraction in a large range can be realized quickly and accurately; an equivalent matrix after dimension reduction is provided for later effective clustering; and the extracted features have realistic interpretability due to non-negative constraints applied in the method, and the progressive gradient regression model proposed in the second half part is suitable for checking multiple linear or nonlinear correlation relationships among multiple elements, can analyze main influence factors of different vitality modes, and has higher accuracy.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a method for identifying urban land use vitality patterns and influencing factors. Background technique [0002] As China's urbanization process enters a new stage of quality improvement, urban vitality is considered to be one of the important qualities to measure the quality of a city. Beijing, Shanghai, Shenzhen and many other places have issued corresponding guidance to promote the development of nighttime economy in order to enhance the vitality of cities. The most direct representation of urban vitality is the spatial distribution of crowd activities, and it is also affected by various material elements of the urban built environment. [0003] Therefore, for urban planners, it is of great significance to understand the status quo of urban vitality and to study the influence mechanism of planning elements in the urban built environment on urban vitality f...

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/62
CPCG06Q10/0639G06Q50/26G06F18/23213G06F18/24323
Inventor马晓甦梁国杰刘志成
OwnerSOUTHEAST UNIV