Method for identifying boundaries of urban active area and central urban area based on information data

Abstract

The invention relates to a big data-based method for identifying boundaries of an urban active area and a central urban area. The method is based on information data, four indexes of dynamic and static combination are adopted for comprehensive analysis. The boundary of the urban active area and the central urban area identified based on a kernel density method; practicality of the method is provedby taking Guangzhou as an example, and mature boundaries of a central vitality area and a central urban area of Guangzhou are identified to be 93 square kilometers and 600 square kilometers respectively and are basically equivalent to those of an international first-class city, so that a more persuasive basis is provided for urban traffic development policy experience reference of different areas.

Description

technical field [0001] The invention belongs to the technical field of urban space identification research, and in particular relates to a method for identifying the boundaries of urban vitality areas and central urban areas based on information data. Background technique [0002] Urban spatial structure is the distribution and combination of urban elements within the spatial range, the spatial projection of urban economic structure and social structure, and the spatial form of urban social economic existence and development. Urban traffic development and management need to implement different policies in combination with regional differences. The identification of urban vitality areas and central urban boundaries can help differentiated policy regional control accuracy. For example, stricter parking management and traffic demand management policies are implemented in vitality areas. And implement more flexible transportation infrastructure construction outside the vitality ...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies in the existing research on the identification of urban vitality areas and central city boundaries, such as single selection of indicators and lack of dynamic indicators, the purpose of the present invention is to provide a method for identifying the boundaries of urban vitality areas and central urban areas based on information data , this method is based on information data, adopts four dynamic and static indicators for comprehensive analysis, and based on the kernel density method to identify the urban vitality area and the boundary of the central urban area, and takes Guangzhou as an example to prove the practicability of the method, identifying the central vitality of Guangzhou The mature boundaries of the district and the central urban area are 93 square kilometers and 600 square kilometers respectively, which are basically equivalent to world-class cities, thus providing a more convincing basis for the experience of urban transportation development policies in different regions

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