Research On The Strategy Method Of Urban Street Space Quality Measurement Supported By Big Data

With the rapid development of technology,new types of data continue to emerge.The in-depth integration,analysis and mining of urban big data through the Internet of Things,cloud computing and artificial intelligence technologies help people study urban systems from multiple perspectives.Under the background of stock development,the research object of urban space is changing to complex urban system.With the support of big data technology,urban space,people and data science are closely integrated.However,in the process of pursuing the refinement and dataization of space research,the research goals have gradually tilted towards technical methods,leading to the absence of humanism.This article takes the most common street space as the research object,and studies the strategy methods of street space quality measurement from the perspective of pedestrians.Therefore,urban street space quality measurement research oriented to user needs is not only a demand for refined urban governance,but also an important measure to upgrade urban service capabilities.Under the background of the rapid development of new urban science,this paper analysis the relevant theories and practical applications of street space quality measurement based on the application of big data technology.Then this paper constructs the "5D + 3S" measurement model of street space quality from three dimensions of physical space,economic and social and human vitality.Through a variety of data collection methods to establish the basic database of Wuchang ancient city street space quality research.In the result analysis,the measurement results and spatial distribution are interpreted from the overall and classification aspects,and the hierarchical clustering algorithm is used to grade the street spatial quality.Based on the overall evaluation and classification,this paper analyzes the influencing factors of the quality of street space.Finally,this paper puts forward the sub-dimension promotion strategies according to the current situation and influencing factors.