Land Use Standardization via Machine Learning and Deed Analysis
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Solution Overview
Problem
Current systems fail to effectively standardize and track land use utility, making it difficult for users to understand the relationship between current property use and zoning, and future land use, which is crucial for real estate acquisition, development, and financial planning, as they lack user-friendly interfaces and data structures to decipher complex zoning codes and regulations.
Innovation Solution
A system and method that standardizes land use utility by transforming disparate data sources into a unified format, allowing users to search and analyze properties based on current and future zoning, using a graphical user interface, data structures, and descriptors to make zoning changes more accessible and understandable, incorporating machine learning for optimal land use identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If zoning information is provided in traditional formats (printed publications, maps, codes), then the data is available for reference, but it is not readily accessible or understandable to lay persons
Solution Approach 1:
The patent introduces computer-readable data structures and graphical user interfaces as intermediaries between complex zoning codes and users. These intermediaries translate and present zoning information in simplified, accessible formats, enabling lay persons to understand and navigate zoning regulations without needing to directly interpret complex legal codes.
Solution Approach 2:
The patent transforms zoning information from traditional textual and map-based parameters into digital data structures with standardized fields and formats. This parameter transformation enables the information to be processed, searched, and displayed in ways that are accessible to users while maintaining the complexity of the underlying zoning regulations.
2Loss of information
If property records include current use descriptions, then basic property information is available, but there is no way to understand current use in relation to zoning or future land use
Solution Approach 1:
The patent embeds multiple levels of land use information within a unified data structure. Current use, zoning status, and future land use potential are nested within a single property record, allowing users to access basic information while also exploring deeper contextual relationships without needing to navigate separate complex data sources.
Solution Approach 2:
The patent adds temporal and contextual dimensions to property records by incorporating future land use projections and zoning analysis. This transforms static property descriptions into dynamic, multi-dimensional data that reveals relationships between current use, zoning regulations, and future development potential.
3Quantity of substance
If zoning data is collected from multiple disparate sources, then comprehensive information is available, but standardization is difficult and data consistency is poor
Solution Approach 1:
The patent creates a universal data structure that can accommodate zoning information from multiple sources and jurisdictions. This standardized framework allows diverse data formats to be converted into a common representation, enabling comprehensive data collection while maintaining consistency and facilitating easy processing and analysis.
Data Source
AI summary
Single family homes may be perceived as a widely accepted use by local zoning codes, however, it isn't just local zoning codes that determine the use.This invention extends the notion of standardization using machine learning by including deed restrictions as part of its standardization for model building using disparate data sets. These are directed to an improvement in computer-related technology.