Evaluation And Analysis Of Urban Street Space Quality

As the most important public space in the city,street space bears the function of displaying the city image,communicating with the city traffic,accommodating the communication needs and providing emotional care.Under the initiative of digital city and smart street,it has become a trend to study the quality of urban streets through multisource data.Under this background,this paper takes the street spatial quality as the research object,uses the multi-source street spatial data and combines the geographic information spatial analysis technology to measure and evaluate the street spatial quality in the main urban area.The system structure of street space quality evaluation and analysis is constructed from three space quality,vivacity,safety and greenness.Street vitality includes eight index factors: street entrance and exit density,street furniture density,street sketch density,street characteristic landscape density,POI density,POI diversity,commercial POI proportion and street population density.Street safety degree includes street isolation degree,roadside parking occupancy ratio,traffic signal system density,sidewalk width ratio,street crossing facility density.Street greenness includes five index factors: the number of green belts,the density of street trees,the proportion of the length of street green space,the density of temporary greening facilities,and the proportion of street green shade.Using ArcGIS to establish the index factor information database for statistical analysis and visual display,it is found that the street quality of the fuxing district in three administrative regions of handan city is the lowest,followed is hangshan district and the highest in congtai district.Based on the spatial autocorrelation theory,the spatial quality of streets in the main urban area has obvious clustering characteristics.Three circles with decreasing street quality are divided by hot spot analysis,the relatively high quality clustering area,the medium quality clustering area and the low quality clustering area.Finally,this paper proposes strategies for improving street quality,conducts case analysis according to the work process of improving street quality,and finally proposes strategies for improving street quality according to the index factor scale.