Population Distribution Aggregation via Mesh Reliability Evaluation
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Solution Overview
Problem
Existing methods for calculating population distribution fail to achieve high geographic resolution while maintaining statistical reliability, as they do not consider the characteristics of position positioning by user terminals and their positioning means, leading to impaired statistical reliability.
Innovation Solution
A population distribution aggregation calculation device that generates narrow-area mesh data by dividing a wide area into smaller regions based on predetermined geographic and temporal resolutions, and evaluates the reliability of this data using wide-area mesh data, allowing for the selection of data with higher statistical reliability for accurate population distribution estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If positional information of user terminals is totaled without considering characteristics of position positioning and positioning means, then calculation process is simplified, but statistical reliability is impaired
Solution Approach 1:
The patent segments the calculation process into multiple stages: first calculating wide-area population distribution, then using it as a reference to calculate narrow-area distribution. This segmentation allows the system to maintain statistical reliability by progressively refining the calculation while managing complexity through structured processing steps.
Solution Approach 2:
The patent performs preliminary calculation of wide-area population distribution before calculating narrow-area distribution. This preliminary action establishes a reliable baseline that constrains and guides the subsequent narrow-area calculation, ensuring statistical reliability is maintained while enabling detailed geographic resolution.
2Measurement precision
If wide area is divided into smaller regions to achieve high geographic resolution, then population distribution accuracy is improved, but data reliability becomes difficult to ensure
Solution Approach 1:
The patent applies local quality by treating wide-area and narrow-area calculations with different processing approaches. The wide-area calculation uses one method while the narrow-area calculation uses another method that incorporates the wide-area results as constraints, optimizing the calculation strategy for each spatial scale's specific requirements.
Solution Approach 2:
The patent implements a nested structure where narrow-area population distribution calculation is embedded within the framework of wide-area distribution calculation. The narrow-area results are constrained by and nested within the broader wide-area distribution, creating a hierarchical relationship that maintains reliability across different geographic scales.
3Measurement precision
If narrow-area mesh data is calculated for each positional information acquisition pattern, then data accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent applies partial action by calculating narrow-area distribution only for patterns where wide-area distribution data is available and reliable. Rather than attempting to calculate all possible patterns simultaneously, the system selectively processes patterns that meet reliability thresholds, reducing overall calculation complexity while maintaining accuracy for critical cases.
Data Source
AI summary
An object is to provide a population distribution aggregation calculation device which can calculate a population distribution of high accuracy.A population distribution aggregation calculation device includes a narrow-area mesh group management unit 108 configured to generate wide-area mesh data by acquiring the number of user terminals positioned in each predefined wide-area mesh using approximate positional information of a user terminal 200, and to generate narrow-area mesh data by acquiring the number of user terminals positioned in each of a plurality of narrow-area meshes obtained by dividing a wide-area mesh by a predetermined geographic resolution for each predetermined positional information acquisition pattern using detailed positional information stored in the positioning data accumulation unit 102, a reliability evaluation unit 109 configured to calculate reliability of narrow-area mesh data for each positional information acquisition pattern on the basis of wide-area mesh data and narrow-area mesh data, and a population distribution estimation unit 110 configured to estimate the number of terminals in a narrow-area mesh on the basis of the narrow-area mesh data and the wide-area mesh data according to the reliability.