Multidimensional Measurement And Comprehensive Evaluation Of Street Space Quality At The Human Scal

Urbanisation has brought new opportunities for construction and social wellbeing,raising residents’ demand for urban public space.The construction and management of street space as an important component of urban public space is often neglected to the extent that it is difficult to meet public expectations.The development of new technologies in the new era has brought new revelations to street research,and the related fields have begun to focus on the humanistic design of spaces and emphasise the impact of spatial experience and quality environment on users’ perceived behaviour based on a human-scale perspective.Many scholars have explored the interaction between street space and people,identifying problems in the use of space,and then expecting that meeting people’s needs and feelings will improve the quality of street space.In this context,this study aims to comprehensively and systematically perceive and analyse the overall condition of street space based on the human scale,taking the quality of pedestrian-oriented street space as the research object.Firstly,after grasping the background of the study and sorting out the relevant literature,the theoretical basis of the study of the quality of street space under the human scale is summarised,the relevant concepts of quality research and the direction of quality evaluation are clarified,a total of 12 secondary evaluation indicators related to imagery,transparency,enclosed space,human scale,complexity,accessibility and crowd vitality are clarified from both subjective and objective aspects,and the hierarchical analysis and entropy weighting methods are used to classify and estimate the weight of the indicator elements of different types of streets,so as to establish a new and complete quality measurement system and score calculation method.Secondly,the basic data required for the quantitative study were obtained through field research collection and open data crawling,and processed by different methods such as questionnaire scoring,image semantic segmentation and geographic information spatial data analysis,and finally aggregated and visualized based on the Arcgis platform to establish an evaluation model.The evaluation of the spatial quality of the streets in the three neighbourhoods of the actual study case,the results of the index scores can be grasped from the overall spatial distribution pattern and numerical characteristics of the quality,while the analysis of the index categories clarifies the performance and level differences of the quality scores in the index types.At the same time,based on the superimposed analysis on both subjective and objective levels,the results are obtained as "high matter-high vigour","high matter-low vigour","low matter-high vigour","low matter-low vigour" and "low matter-low vigour","lowmatter-low-vigour" four multidimensional evaluation results.The evaluation results are analysed in correlation with the indicators,and the mechanisms of action between indicators and between indicators and quality are studied.The aim of this twodimensional,four-matrix evaluation is to target and discuss the problems and potential of each type of street,and ultimately to propose corresponding countermeasures and quality improvement solutions.Finally,after the previous correlation analysis to clarify the relationship between the indicators and between the indicators and the quality score,the most significant and correlated influencing factors under each type of street are explored,and from these factors,the deficiencies of the street space at the operable level and the corresponding improvement measures are proposed,taking specific streets within the study area as examples,in an attempt to achieve the most direct and effective way to improve the quality of the street space.