Space vitality quantification method based on people clustering trajectory entropy

Abstract

The invention provides a space vitality quantification method based on people clustering trajectory entropy, and mainly relates to quantification of people clustering trajectory data and public space vitality analysis by using the concept of space trajectory entropy. The method comprises the following steps: improving similarity measurement by adopting cosine correlation between matching trajectory segments and adjacent matching points in a crowd trajectory clustering method, and automatically searching a clustering cluster number on the basis of taking a contour coefficient as an evaluation index; a space trajectory entropy is calculated by using a trajectory clustering result, and the space trajectory entropy describes nonuniformity and uncertainty of trajectory distribution in a space so as to represent a space vitality state. According to the method, the motion mode and category characteristics of the crowd trajectory in the space are fully considered to analyze the space vitality state. Meanwhile, the problem of urban space vitality quantification is better solved by adopting an information entropy calculation method, the problem of multiple subjective factors of a traditional method is effectively avoided, and a new thought is provided for researching space vitality quantification in the urban planning field.

Description

technical field [0001] The invention relates to the problem of public space vitality analysis in the intersection field of machine learning and urban planning, and in particular to a space vitality quantification method based on crowd clustering trajectory entropy. Background technique [0002] With the development of urban society, public space life has attracted people's attention, and the vitality of urban public space is the most basic element to realize the quality of urban life. The state of "people" in urban public space is an important factor to measure the vitality of the space. The activities of the crowd can truly reflect the feelings of people in the space and reflect the current status of the space quality. Crowd activity, as a feature of spatial vitality, has become the main direction of urban spatial vitality research. [0003] However, traditional behavioral activity data acquisition and spatial vitality assessment methods have certain limitations, such as t...

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Problems solved by technology

[0003] However, traditional behavioral activity data acquisition and spatial vitality assessment methods have certain limitations, such as on-site observation methods to obtain activity type data, which are limited by human time costs

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