An urban green space service online evaluation method based on multi-source data

By using multi-source data processing and interactive visualization methods, the problems of low data accuracy and public participation in urban park and green space management have been solved, enabling precise planning and recommendation services, and promoting the construction of ecological public service networks and the popularization of ecological welfare.

CN117435679BActive Publication Date: 2026-08-28INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
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Patent Information

Application Number
CN202210794505.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-07-07
Publication Date
2026-08-28
Estimated Expiration
2042-07-07

AI Technical Summary

Technical Problem

The planning and management of urban parks and green spaces suffer from low public participation, inaccurate delineation of travel areas, insufficient precision in spatial data calculation, and high data processing difficulty. In particular, the analysis of the accessibility relationship between parks and green spaces and residents suffers from high spatial dispersion of data and high computational resource consumption.

Method used

The system employs a multi-source data acquisition and processing approach, including extracting building outline data from various base maps, determining topological relationships and removing duplicates, subdividing data down to the building center point using population distribution data, constructing a cached mapping database using TaffyDB, processing data using the WebGIS framework and Ajax technology, dividing green space isochronous zones using buffer analysis and slope analysis, and using WebGL technology for 3D scene visualization, providing park and green space planning and recreation recommendation services.

Benefits of technology

It has improved the precision of park and green space management and public participation, provided intuitive planning analysis and recreation recommendation services, and promoted the construction of ecological public service networks and the popularization of welfare.

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Abstract

The present application relates to a kind of urban green space service online evaluation method based on multi-source data, comprising: S1: population environment original data is collected and encapsulated as slice map service;S2: population distribution grid data is subdivided to the center point of resident building;S3: the service capacity of different types of recreational green space is extracted and analyzed based on multi-source data, cache mapping database is constructed by TaffyDB, data processing module is constructed based on WebGIS framework using Ajax technology, after data processing module is carried out data processing to the data in cache, update and issue to database server;S4: according to the data in database server, park green space management support and / or park green space recreation service.The present application provides park green space planning analysis and recreational green space recommendation service for users by classifying and analyzing the data of urban park green space, and using intuitive interactive visualization method.
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