Research on the Quantification of Historical Block Space Quality Based on Self-collected Streetscape Data
This study aimed to explore a methodology for measuring the street spatial quality of historical and cultural districts in ethnic regions using self-collected streetscape data.An empirical study of Dukezong Ancient City in Shangri-La,Yunnan Province,China,was carried out.Through quantitative evaluation and space quality improvement of ancient cities,this study provides a scientific reference for the protection and sustainable development of historical and cultural streets.The research methods included self-collected streetscape pictures,quantitative evaluation,and micro-scale design interventions.Firstly,the research team collected 18,539 streetscape pictures in Dukezong Ancient City.After screening,a total of 11,814 effective pictures were retained.Secondly,the weights of different indices were determined by the analytic hierarchy process(AHP)by building three level-1 indices(spatial disordering factor,green view index,and sky view factor)and corresponding level-2 and level-3 indices.On this basis,the street space quality was quantitatively evaluated.Moreover,the machine learning algorithm and artificial scoring were integrated in this study to improve the efficiency and objectivity of the data processing.The research results revealed significant differences in space quality in Dukezong Ancient City.Pictures with good space environments accounted for 8.98％of all pictures,while pictures with poor space environments accounted for 33.3％of all pictures.The overall green view index of streets in the city was 3.06％,and the sky view factor was 20％.Spatial quality faced several major problems,including a low green view index,unremarkable architectural style,single pavement texture,and chaotic vehicle parking.According to an analysis of the reasons for this space disorder,several specific improvement countermeasures were proposed,including increasing greenery,optimizing parking management,and improving architectural styles and features.After the implementation of micro-scale design interventions,the space quality at nodes of three chosen testing points was significantly improved.The sky view factor,green view index,and space disorder value all increased to some extent,verifying the effectiveness of the design interventions.These micro-reconstruction measures not only improve space quality but also pay respect to the historical cultural and regional features of the ancient city.These research findings offer a new perspective and tools for the space quality evaluation of historical cultural blocks with the use of self-collected streetscape data and quantitative analysis.The results emphasize the significance of space disorder,the green view index,and the sky view factor in evaluating space quality in historical and cultural street blocks.They also provide valuable experiences and data support for subsequent studies and practices.Moreover,this study highlights the limitations of the existing quantitative methods.The findings highlight the need to further perfect space quality measurement indices to more comprehensively understand and improve the spatial characteristics of historical and cultural blocks.
historical and cultural blocksspatial qualityself-collected streetscape picturesstreetscape dataDukezong Ancient City
万方数据
维普
