Evaluation And Optimization Of Waterfront Spatial Vitality Of Fuhe River In Chengdu Based On Multi-source Data

Urban waterfront space is a representative area that showcases the charm and quality of urban development.It plays an important role in enriching the urban landscape,optimizing local ecological environment,showcasing urban characteristics,and enhancing urban attractiveness.The vitality of waterfront space is a direct reflection of the quality and current situation of waterfront space development.Big data has advantages such as real-time,objectivity,and multi-source,and has been widely and maturely applied in urban related research.Therefore,this article uses multiple sources of big data such as Baidu thermal maps,POI,remote sensing images,road networks,building vectors,and housing prices to evaluate the vitality intensity and stability of the Fuhe River waterfront space in Chengdu from both time and spatial dimensions,and studies its influencing factors.This can provide theoretical support and optimization direction for the improvement and renewal design of the Fuhe River waterfront space vitality.1)In terms of vitality intensity,spring is greater than winter,and working days are greater than rest days.The areas of high and medium vitality areas in spring working days,winter working days,spring rest days,and winter rest days decreased in sequence,with little overall change over the four days;The area of the inactive zone increases sequentially,and the spring working days are significantly smaller than the other three days;The spring working days in low vitality areas are much longer than the other three days.During the day,the most significant changes occur from 7:00 to 11:00,with a rapid decrease or increase between 7:00 and 9:00,and a decrease in the rate of change from 9:00 to 11:00.There is a certain delay in winter rest days;19: After 00,the area of high,middle,and low vitality areas has decreased on weekdays,while the area of non vitality areas has increased,while the area of low vitality areas on rest days has increased.During the day,the overall fluctuation range of spring workdays is the highest.In terms of spatial changes in vitality intensity,the four day changes in each research unit are not significant.The areas with high vitality are mainly urban commercial and business districts,such as Chunxi Road,East Street,Wangping Street,etc.The areas with low vitality are mainly urban parks and green squares,such as Chenghua Park,Mengzhuiwan Swimming Pool,etc.2)In terms of vitality and stability,there is a small gap between workdays and workdays,as well as between rest days and rest days,while there is a large gap between workdays and rest days.The number of units with high and medium stability during workdays is far greater than that during rest days.The overall displacement of the curve from working days to rest days occurs,with the most significant change from medium stability to low stability,and the two values are close.On rest days,the area of inactive high stable areas decreases,while the area of inactive low stable areas increases,indicating that compared to working days,some waterfront park green spaces on rest days can gather a certain number of people.3)In the bivariate spatial autocorrelation analysis of vitality intensity stability,high high clustering areas are mainly distributed in urban commercial and business districts,such as areas near Dongdajie and Beidajie.Low low clustering areas are mainly distributed near urban waterfront parks and green spaces,such as Chenghua Park and Mengzhuiwan Swimming Pool.Low high clustering areas are mainly distributed near urban residential areas,park squares,and hotels,such as Wanfu Bridge,Mulanhuawu,Hejiangting Pier,etc Near the Shangri La Hotel,high low concentration areas are distributed around residential communities,such as the Mengzhuiwan East Street community and the Zhaozhongci Street neighborhood.4)The results of correlation and regression analysis show that facility mix and public transportation density have the greatest impact on vitality intensity,followed by service facility density and building density;Road density has a positive impact on the stability of work day vitality,while the permanent population has a negative impact;The vitality stability of rest days is only positively affected by the mix of facilities.5)Based on the above research results and the current situation of the waterfront space of the Fu River,an optimization strategy for vitality factors was proposed.Taking the right bank of the Fu River from Wuding Bridge to Taisheng Bridge as an example,the optimization design was carried out from four aspects: spatial optimization,road traffic facility optimization,service facility optimization,and planning implementation guarantee.