Urban resident potential activity space evolution feature extraction method and system

By utilizing mobile signaling data to identify key activity locations and constructing a potential activity space measurement model, the high cost and low dimensionality issues of extracting urban residents' activity space evolution characteristics are solved. This enables low-cost, high-efficiency, high-dimensional dynamic monitoring and quantitative analysis, supporting urban planning and emergency management.

CN121665189APending Publication Date: 2026-03-13JIANGXI NORMAL UNIV
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Patent Information

Application Number
CN202511843478.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-09
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

Existing technologies for extracting the spatial evolution characteristics of urban residents' activities are costly, have limited dimensions, and lack process quantification. Traditional questionnaire surveys are costly to implement and difficult to grasp the situation of urban residents on a large scale. Mobile phone signaling data has low value density and lacks high-dimensional indicators for detailed characterization and extraction of process evolution characteristics.

Method used

By utilizing large-scale mobile signaling data, key activity dwell points are identified through preprocessing, a potential activity spatial measurement model is constructed, scale and shape indicators are calculated, spatial overlay analysis is performed, and overall and process evolution characteristics are extracted.

Benefits of technology

It enables low-cost, wide-range dynamic monitoring of urban residents' activity spaces, improves analysis efficiency and coverage, provides high-dimensional spatial morphology information, can accurately quantify the change process of activity spaces, and supports urban emergency management and dynamic planning.

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Abstract

The invention belongs to the technical field of urban planning, and discloses an urban resident potential activity space evolution feature extraction method and system, and the method comprises the steps: obtaining original mobile phone signaling data, carrying out the preprocessing to recognize key activity resident points, and obtaining a key activity resident point track queue; dividing the track queue into at least two activity periods according to a time period or an event inflection point, constructing a potential activity space measurement model for each activity period, and measuring to obtain a corresponding potential activity space; calculating scale indexes and shape indexes of potential activity spaces in different activity periods, and extracting overall evolution characteristics of the potential activity spaces of the urban residents; and performing space superposition analysis on the potential activity spaces of the adjacent activity periods, determining and quantifying reserved areas, lost areas and newly added areas of the potential activity spaces, extracting the procedural evolution characteristics of the potential activity spaces of the urban residents, and realizing accurate extraction of the overall and procedural evolution characteristics of the potential activity spaces of the urban residents.
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