Concentric Ring Analysis for High Land Price Zone Delimitation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining areas with high land prices in urbanized zones are inefficient, relying on time-consuming transaction data analysis and lacking accuracy in delimiting city cores, whereas publicly available cadastral parcel data is underutilized.
Innovation Solution
A computer-implemented method using a concentric spatial system on cadastral maps to analyze the distribution of cadastral parcels, fitting regression lines to log-log plots, and identifying the circle with significant log-normal distribution influence to determine high land price areas with increased radii, allowing for accurate classification without transaction data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If transaction data analysis is used to determine high land price areas, then accuracy of land price classification is improved, but analysis time and costs increase significantly
Solution Approach 1:
The patent introduces an intermediary approach by using cadastral parcel area distribution patterns as a mediator to infer land price zones. Instead of directly analyzing transaction prices, the method uses the morphological characteristics of cadastral parcels (which are publicly available) as an intermediate indicator that correlates with land price areas, thereby avoiding the need for time-consuming transaction data analysis while maintaining classification accuracy
Solution Approach 2:
The patent creates a simplified copy of the land price classification problem by modeling it through cadastral parcel area distributions. Rather than working with complex transaction price data, the method replicates the spatial patterns of land prices using the more accessible cadastral parcel data, fitting log-normal distributions to parcel areas in concentric rings to identify high-price zones
2Measurement precision
If transaction data is used for land price analysis, then classification accuracy is improved, but data accessibility and ease of operation worsen due to limited access and higher costs
Solution Approach 1:
The patent enables self-service by using publicly available cadastral data that can be accessed and analyzed without requiring proprietary transaction databases. The method allows any user with access to basic cadastral parcel information to perform land price zone classification independently, eliminating the need for expensive or restricted transaction data sources
Solution Approach 2:
The patent uses cadastral parcel area data as an intermediary that bridges the gap between data accessibility and classification accuracy. This intermediary data source is both easily accessible (publicly available) and sufficiently informative (correlates with land price zones) to enable accurate classification without requiring difficult-to-obtain transaction data
3Ease of operation
If morphological analysis of cadastral parcels is used, then data accessibility is improved, but delimitation accuracy of city core areas worsens to 500-1000m precision
Solution Approach 1:
The patent improves delimitation accuracy by changing the analytical parameters from simple morphological classification to statistical analysis of parcel area distributions. By fitting log-normal distributions to parcel areas in concentric rings and analyzing deviation patterns, the method extracts more precise information from the same accessible cadastral data, achieving 200m accuracy instead of 500-1000m
Solution Approach 2:
The patent applies partial action by focusing analysis on specific aspects of cadastral data (area distributions in concentric rings) rather than attempting comprehensive city core delimitation. This targeted approach on parcel area statistics within defined rings enables higher precision (200m) for identifying high land price zones without requiring full-city-scale delimitation
Data Source
Figure 1
Figure 2
Figure 3A~3F
AI summary
A method for determining an area with high land prices intended for high-density residential developments located in an urbanized zone with a concentric spatial system, particularly in a city, includes the following steps: a) determining the center of an urbanized zone on a cadastral map, b) determining rings concentrically located around the center of the urbanized zone on the cadastral map, the rings having increasing radii, the width of the consecutive rings being not greater than 400 m, c) assigning cadastral parcels to the individual rings, particularly by including in a given ring cadastral parcels whose centroids are located in it, d) determining the distributions of the areas of the cadastral parcels in the individual circles created from the rings, excluding public utility parcels greater than 12 hectares in area, and then presenting the distributions on loglog plots, e) fitting a regression line to the points forming the tails of the distributions of the areas of the cadastral parcels obtained in step (d) for the arguments for which the distribution function takes values below the last maximum, the values of the function being multiplied by the arguments, (f) determining the circle with the smallest radius, in which the sum of the vertical deviations of the values of the points forming the tails of the distributions from the fitted regression straight line from step (e) is greater than 0.The invention includes also the map obtained using this method and its uses.