4 results about "Regional development" patented technology

The application provides a kind of urbanization threshold determination method based on multi-objective optimization under water resource constraint, which determines water intensity under different efficiency scenarios through panel quantile regression, reduces the subjective setting degree of water demand parameters, and improves the accuracy of water demand parameter identification under different efficiency states.In addition, urban population, added value of the secondary industry and added value of the tertiary industry are taken as decision variables, and a multi-objective optimization function is constructed under the constraints of water resource rigidity, urban development boundary and variable boundary, realizing the collaborative solution of the relationship between urbanization scale expansion and water resource constraint.The scheme determines the urbanization threshold range based on the multi-objective optimal solution set, combined with ideal point distance identification, inflection point identification and marginal cost jump verification, which can more truly reflect the multi-objective trade-off relationship between non-agricultural comprehensive output, water resource pressure and regional development imbalance, and improve the stability and planning applicability of threshold identification.

This application provides a feature extraction method, apparatus, device, medium, and program product, relating to the field of artificial intelligence technology, for improving the accuracy of extracting features reflecting regional development priorities. The specific technical solution is as follows: acquiring management regulation information of a target city; performing information extraction processing on the management regulation information to obtain a semantic feature description text set and a keyword set corresponding to the management regulation information; determining a first feature set corresponding to the target city based on the semantic feature description text set and the keyword set; the first feature set includes at least one feature vector; based on the correlation between the feature vectors in the first feature set and the target region, determining a second feature set from the first feature set whose correlation with the target region is greater than or equal to a first threshold; the second feature set includes at least one feature vector. This application is applicable to scenarios such as urban management and smart city assessment.

The application discloses a method for early-stage business cooperation of key projects, comprising the following steps: 1) collecting current key project information, including project basic information, spatial geographic information, industrial layout information, supporting facility information, environmental impact information and policy and regulation information; 2) constructing a key project map based on the current project information by using a geographic information system; 3) in the project planning stage, planning a key project in line with a regional development strategy based on the key project map; in the project site selection stage, determining a project site selection scheme by considering land utilization, traffic conditions and environmental impact factors based on the key project map; and in the project approval stage, an approval party calls project spatial information and related data in the key project map to approve the project site selection. The application forms a planning leading project generation and key project early-stage business cooperation mechanism, and provides protection for key project spatial resource element management.

This invention discloses an intelligent decision-making method and system for assessing the suitability of urban industrial layout, relating to the field of urban planning and regional development. The method includes: collecting multi-source heterogeneous data of the target urban area to establish a standardized spatiotemporal database; constructing an initial assessment factor system based on the standardized spatiotemporal database; loading the standardized spatiotemporal database into three-dimensional geographic information units to construct an urban multi-agent simulation environment; using a causal inference engine, calculating the causal net effect of candidate industrial layout schemes on preset urban indicators based on historical data in the standardized spatiotemporal database, and generating a causal net effect assessment report; and fusing the real-time data of the initial assessment factor system, the current state of the urban multi-agent simulation environment, and the causal net effect assessment report to generate a dynamic decision state vector. This achieves a leap from static location assessment to dynamic path planning, improving the foresight of industrial layout decisions.