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Optimization Of Walking Space Pattern And Landscape Quality Improvement In Leshan Street Under New Data Environment

Posted on:2020-11-30Degree:MasterType:Thesis
Country:ChinaCandidate:L X LuFull Text:PDF
GTID:2392330578458337Subject:Landscape architecture
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Rapid urbanization brings huge opportunities for development in Chinese cities,but it also poses enormous challenges.In many intertwined urban problems,transportation is always a core field,and the construction and development of pedestrian traffic is one of the effective methods to solve urban traffic congestion and urban environmental deterioration.It has also received more and more attention in recent years.With the accessibility,safety and comfort of the urban pedestrian environment,problems such as sidewalks,commercial pedestrian streets,riverside walkways,tree-lined landscape roads,recreation squares and street green spaces are also prominent.How to optimize is a topic that needs to be further studied.According to the space where the above-mentioned walking behavior is located,the three dimensions of walking space structure,walking space capacity and walking space landscape quality are the entry points from the three levels of traffic demand,security demand and comfort demand,and the relevant theoretical methods under the new data environment.Quantitative analysis of multi-source data support.Firstly,the characteristics of Leshan City are sorted out,and the built-up area of the current green heart is determined as the research area.The spatial syntactic model is established and relevant parameters are selected.The spatial configuration indicators are used to explain the influence of spatial form on human behavior,so as to study the walking space.structure.Secondly,through the ArcGIS platform,the POI big data is analyzed,and the limitation of the spatial syntax "mathematical space-physical space" research paradigm is compensated by the perspective of "phenomenon data-physical space",which is ensured by mutually supporting and complementary processes.The scientific nature of the data.Finally,through the image big data,the evaluation of the walking space landscape design,the square green landscape effect,the plant planting design,the tree cover,the ground pavement,the urban furniture,the landscape sight,the street interface and the street facade are evaluated by SPSS.Multivariate linear regression analysis,by judging the correlation and influence of landscape quality influencing factors,to study the all aspects of landscape quality,so as to obtain the measured walking space capacity and the quantitative walking space landscape quality.Through the above research and analysis,the following main conclusions are drawn:(1)Baiyang Road,Jiading Road,Chunhua Road,Leshan New Town,Gulou Street,Tuqiao Street,Yutang Street in the Old City,Zhanggongqiao Street and Bishuiyuan Pedestrian Street in the transition zone also correspond to dining and entertainment shopping.The functional gathering area and the commercial gathering area of the passing traffic flow are also consistent with the urban vitality space such as life work,dining entertainment,shopping trip,etc.,which is a veritable core block;this type of walking space is defined as “quality walk space”.(2)The willingness to use the pedestrian space within the “quality walk space” is the most relevant to the landscape design and the landscape green landscape effect,and the landscape sight and permeability of the landscape quality level,and the exquisite design of the plant cultivation.There are also large correlations between the safety facilities such as the blocking pile and the buffer zone in the capacity of the pedestrian space.At the same time,it is identified that the “best walking space” is located in the southern section of Binjiang Road in the area of Xiaogongzui.The “problem walking space” is the new urban area.Henan Street and the transition zone of Zhanggongqiao Street,Liren Street,and Bishuiyuan Pedestrian Street.(3)Leshan Central Green Heart Status The built-up area should be optimized.The walking space is concentrated in the transition zone of the new old city,including Zhanggongqiao Pedestrian Street,Liren Street and Bishuiyuan Pedestrian Street.The landscape quality and the space capacity of the walk are lacking.Landscape design and plaza green landscape,plant planting design,paving and facilities are poor,which is the problem to be solved in the optimization of pedestrian space pattern.(4)Analyze the influencing factors of landscape quality of all walking spaces in the study area,and draw the conclusion that landscape design and landscape line have the greatest impact on the quality of pedestrian space landscape,and through shopping,leisure,fitness,commuting,and comprehensive 4 The various types of walking spaces summarize the landscape quality improvement strategies related to residential life security such as walking demand,environmental art,and ecological quality.Finally,through the landscape design of the Bishuiyuan Pedestrian Street in the pedestrian space that should be optimized,combined with the landscape quality improvement strategy,the practice of walking space pattern optimization and landscape quality improvement is carried out.
Keywords/Search Tags:New data environment, Street walk space, landscape evaluation, Landscape design, Leshan
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