Urban park social utility evaluation method based on multi-source data

Abstract

The invention discloses an urban park social utility evaluation method based on multi-source data, and the method comprises the steps of building an urban park social utility evaluation index system through employing an analytic hierarchy process, determining the weight of each factor of the index system, building a data model used by the index system, building a data distribution matrix needed bythe data model, acquiring required data through a network, an unmanned aerial vehicle, a monitoring facility, a mobile phone signaling, a thermodynamic map (LBS) and a field investigation path, injecting the extracted data into a data model, giving different weights according to evaluation factors, performing statistical analysis on data output by the model, generating an evaluation scale, and finally obtaining an urban park social utility evaluation result. Mass data provided by various existing advanced technical means and facilities can be fully utilized, so that the construction of the urban park social utility evaluation index system is more scientific, the efficiency is improved, and the urban park social utility evaluation index system is suitable for social utility evaluation of different urban parks.

Description

Technical field[0001]The invention relates to the evaluation of the social utility of urban parks, in particular to a method for evaluating the social utility of urban parks based on multi-source data.Background technique[0002]In this era when more and more attention is paid to sustainable development and ecological civilization, with the process of modern urbanization, urban parks are playing an increasingly important role in the urban human settlement environment. For example, the green space in urban parks is for urban residents to appreciate the beautiful scenery and touch Natural places; amusement facilities in urban parks are where recreation and social interaction are located; sports facilities in urban parks are where urban residents exercise and rest; some urban parks also have functions such as earthquake relief, emergency refuge, and social education . Therefore, it is necessary to continuously evaluate the functions, effects, social benefits, economic benefits, and envir...

AI Technical Summary

Problems solved by technology

For the evaluation of the social utility of urban parks, the available big data includes network data, monitoring facility data, drone data, mobile phone signaling data, heat map (LBS) data, environmental data, etc. The advantages of these data are large data volume and time-consuming The span is large, the amount of information is large, and the dynamics are good. However, some of the information provided by these big data are too granular, and many contain redundant error information. Each type of data has its limitations.

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