Evaluation and Improvement Strategy of Street Space Quality in Lujiazui Core Area of Shanghai Based on Multi-source Data Fusion

Abstract

Facing the demand of urban fine design, it has become a consensus to promote people-oriented and quality-oriented urban construction. How to improve the vitality of urban space has become the theme of urban construction. As an important factor affecting the urban environment, street space largely determines the level of urban vitality and the prosperity of urban public living space. It is extremely urgent to improve the quality of street space. In the current implementation and evaluation of urban design, there is an urgent need for a comprehensive and rapid evaluation system to evaluate the quality of street space. This paper selects the street space of Shanghai Lujiazui CBD as research object, synthesizes multi-source data to build a street space quality evaluation system including 5 indicators and 18 evaluation factors: street space carrying capacity, street space vitality, street environment comfort, street travel safety and crowd social interaction. According to the evaluation results and problems, this paper puts forward promotion strategies from three aspects: street public space, street public facilities and street support system, hoping to provide reference for the evaluation of street space construction. on the above research and analysis, combined with the street space quality evaluation methods proposed by many scholars, this paper establishes a street space quality evaluation system based on multi-source data fusion. It uses multi-source data such as POI data, road network data, spatial morphology data, social media data and street view images to establish the basic database for quantitative evaluation of street space quality. The evaluation index system of street space quality was constructed by using spatial syntax analysis, panoramic segmentation analysis of street view images, functional clustering analysis, POI density mixing degree and heat analysis, spatial and temporal variation of population density distribution and other analysis methods. The index system relies on the two dimensions of material space composition and subjective space perception of urban street space quality, including five indicators, 18 evaluation factors in total: street space carrying capacity (construction intensity, space form, street green coverage rate, street height width ratio, street space identifiability), street space vitality (street function, street scene type analysis, street facade color analysis, business hours facing the street analysis), street environment comfort (walking convenience, landscape beauty, facilities perfection), street travel safety (street brightness, vehicle interference index, completeness of marking facilities), crowd social interaction (Baidu heat map, crowd concentration, social interface index). This puts forward the improvement strategies from three aspects of the street support system, and points out that in the street planning and design, different types of squares and commercial facilities should be set up in combination with the diversified needs of residents, so as to make the street have diversified functions, improve the accessibility of traffic and the comfort of the street environment, so as to accumulate popularity and make the street more dynamic. itself.