Community facility configuration optimization method based on low-carbon travel behavior of residents and related equipment

By acquiring residents' travel data to build a configuration optimization model, the problem of relying on static indicators for community facility configuration in existing technologies has been solved. This enables dynamic quantitative evaluation and optimization, improves the scientificity and accuracy of facility configuration, and promotes low-carbon travel and sustainable urban development.

CN122334787APending Publication Date: 2026-07-03CHANGAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGAN UNIV
Filing Date
2026-03-26
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing methods for configuring community facilities rely on static planning indicators, which are difficult to reflect residents’ actual travel behavior and dynamic differences in needs, and lack quantifiable objective basis for configuration.

Method used

By acquiring residents' travel data, a configuration optimization model is constructed, including classifying and statistically analyzing travel modes, establishing facility demand intensity parameters and spatial preference coefficients by combining travel frequency and time, constructing a configuration difference matrix, identifying facility configuration status, and generating optimization solutions.

Benefits of technology

It enables dynamic quantitative assessment and optimization of community facility configuration, accurately identifies facility needs, provides objective and quantifiable optimization basis, improves the scientific nature and accuracy of configuration, and promotes low-carbon travel and sustainable urban development.

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Abstract

The application belongs to the technical field of social and human science resource allocation, and discloses a community facility configuration optimization method based on low-carbon travel behavior of residents and related equipment; wherein the community facility configuration optimization method comprises obtaining travel data of residents in a target area, the travel data comprising travel mode, travel purpose, travel frequency, travel time and travel distance, inputting the travel data into a configuration optimization model, and outputting a community facility configuration optimization scheme; the application can realize dynamic quantitative evaluation and optimization of community facility configuration, and support objective quantitative calculation of demands of different types of facilities, so that the configuration scheme is more in line with the behavior rules of residents.
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