A Method for Division of Human Activity Network Regions with Spatial Constraints

Abstract

The invention provides a human activity network area division method with space constraints, which belongs to the application field of smart city planning. Furthermore, a clear spatial constraint is added to the topology of the interactive network, and a network area division method with spatial constraints is designed. This method outperforms the regional division method that only uses spatial clustering. It can well extract the areas formed under the influence of human interaction behavior, compare the relationship between human interaction areas and urban administrative divisions, and can provide decision support for urban planning and other fields. .

Description

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AI Technical Summary

Benefits of technology

This patented technology allows us to divide spaces based on their impacts from humans without changing any programming or relying solely on physical boundaries like streets. It also includes methods such as region dividing strategies and optimal placement techniques. Overall, it offers an improved way to manage resources within specific locations while maintaining good communication between people who may have similar goals at home or work.

Problems solved by technology

Technological Problem addressed in this patents relates to improving Zoned Region Division Planning (ZSP), specifically how to efficiently divide spaces within specific domains while maintaining their structural integrity during zonal analysis. Existing solutions either require manual intervention or involve complex mathematical calculations, making it challenging even if some were possible.

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