Floating Population Analysis Using Mobile Data Mining
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Solution Overview
Problem
Conventional methods for analyzing floating population in commercial areas are inefficient, as they rely on costly field surveys and are limited in capturing time-varying patterns and age-related trends, especially in areas with varying population dynamics such as those near new developments or road constructions.
Innovation Solution
An apparatus and method that utilize data mining techniques and GIS to collect and integrate mobile communication terminal data, providing analysis of moving patterns on digital maps, including frequent and sequential pattern searches, to accurately analyze time-varying floating population characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If field survey is used to analyze floating population, then accurate analysis result can be obtained, but it is difficult to obtain accurate analysis result at all time intervals and requires high expenses
Solution Approach 1:
The patent uses mobile communication terminal data as a copy or proxy for actual floating population movement. Instead of conducting physical field surveys, the system collects location information from mobile devices to create a digital representation of population movement patterns, enabling continuous monitoring without physical presence
Solution Approach 2:
The patent replaces the mechanical field survey system with an automated electronic data collection system. Mobile communication terminals automatically transmit location data, which is then processed by servers to analyze floating population characteristics, eliminating the need for manual survey operations
2Reliability
If periodic survey and non-periodic survey are conducted to capture population variations, then comprehensive analysis can be achieved, but it incurs high expenses and requires reliable survey personnel
Solution Approach 1:
The mobile communication terminals automatically perform data collection without requiring external survey personnel. The devices self-manage location tracking and data transmission, eliminating the need for organized survey teams and reducing operational complexity while maintaining comprehensive monitoring capability
Solution Approach 2:
The system uses a unified automated platform that handles both periodic and non-periodic survey requirements through a single infrastructure. The same server system processes all types of survey data, eliminating the need for separate operational systems and reducing overall complexity
3Measurement precision
If conventional analysis focuses on residential areas or stationary buildings, then analysis of fixed locations can be performed, but it has a limit on pattern searches related to floating population tendencies
Solution Approach 1:
The patent transitions from static analysis of fixed locations to dynamic analysis of moving objects. By tracking mobile communication terminals, the system captures the dynamic movement patterns of floating population, enabling analysis of temporal and spatial changes that stationary building-based analysis cannot detect
Solution Approach 2:
The patent adds the time dimension to the analysis by continuously tracking location data over time. This transforms the analysis from two-dimensional spatial mapping of stationary buildings to four-dimensional spatio-temporal tracking of moving objects, enabling detection of movement patterns and tendencies
Data Source
AI summary
Disclosed herein is an apparatus and method for analyzing information about floating population. The apparatus includes an information collection unit, a data integration unit, a data mining analysis unit, and an interface unit. The information collection unit collects information about locations provided by mobile communication terminals of moving objects, information about attributes of the moving objects, and information about locations and attributes related to stationary objects. The data integration unit creates integrated data by integrating the information collected by the information collection unit, national statistical information, and map data registered previously. The data mining analysis unit extracts data, consistent with conditions input by a system user, from the integrated data, and searches the map data for based moving patterns of the moving objects using data mining analysis. The interface unit provides a map service in which search results have been applied to the map data.