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A Research On The Expressway Greenbelt Plant Configuration Of Jinan Based On The Scenic Beauty Estimation

Posted on:2015-02-10Degree:MasterType:Thesis
Country:ChinaCandidate:R L XingFull Text:PDF
GTID:2272330467458544Subject:Landscape architecture
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After the Eighteenth National Congress of the Communist Party of Chinae, the Department of Housing and Urban Construction proposed some guiding opinions, to achieve the requirements of urban roads greening "a road there trees, shade trees there," the landscape effect. Under the guidance of the opinion to strengthen urban road green belt, road construction vehicles of green belt and trees, increasing the proportion of trees planted in reducing transportation energy consumption and reduce exhaust pollution while walking and non-motorized vehicles to provide users health, safety, comfort, space travel.These three levels of analysis of urban ecological environment, urban landscape features, technical support from the foundation, the city played a fast road to ease transportation pressures while also brought the impact can not be ignored, is fortunate that this effect has attracted Note that a large number of scholars quickly along the road environment, visual environment and human environment presents modern building design and landscape planning and landscape assessment theory and method. Jinan investigation found that the existing freeway green:green tree species freeway less configuration mode monotonous landscape integrity, continuity, identifies poor, resulting in fast road road landscape is difficult to reflect Jinan own culture. Need to consider more scientific and rational, sustainable green plant configurations quick way to achieve fast road green landscape to maximize the ecological benefits not only to achieve better play its landscaping, decorative urban effect.Based on the Jingshi Road, Jinan Qilu Avenue and the two fast road green landscape plant survey and classification summary to the beauty of the evaluation (SBE method), semantic evaluation method (SD method) basic evaluation methods to study the effects of mathematical relationships between factors and the effect of the beauty of the landscape values and build for fast road Jinan green plant configuration regression models to study the extent of people’s preferences for different types of landscape plants, green plants configurations for future freeway Jinan to provide a scientific basis and reference value. Through a series of studies gave the following results:(1) Through field investigation that Jingshi Road (Yanshan overpass-Xing Village overpass), Qilu Avenue (Xiaoqing Rive-Jingshi Road) Jinan, two major expressways plant species are:sycamore, Sophora japonica, cedar, hibiscus, big leaf privet, Ziye, arborvitae, Photinia, forsythia, Sajin one thousand cypress, small cypress, boxwood seeds, Euonymus, Berberis, etc.; plant cultivation methods are natural style, rule-based and hybrid three kinds; configure the main form of trees, shrubs and herbs mix with trees and shrubs, trees and herbaceous plants with four kinds of forms. Mainly in the form of a set of King of the King, King, and by the King and other barrier methods.(2) Evaluation by the scenic beauty estimation and,the semantic differential analysis results Jinan fast road four kinds of plant configuration Greenbelt SBE average:central green belt of the car plant configuration class (SBEa=0.527), green belt on both sides of the car plant configuration class (SBEb=-0.176), plant trees green belt configuration class (SBEC=-0.375), roadside green belt plant configuration class (SBED=0.054).(3) Understanding plant landscape features under the premise, according to the aesthetic beauty of the principle of elected eight predictors of evaluation to judge. That plant morphology、texture%color and seasonal aspect、plant diversity、plant configuration hierarchy、visual line、unity and variety、rhythm and cadence. Judge of green plants on the impact of road configuration views predictors evaluation score.(4) Due to rapid road after four green landscape with different forms and different functions, so the above eight predictors regression analysis were selected species most affected by the green belt plant landscape factors, establish the corresponding regression model:Central green belt of the car plant landscape categories:SBEA=0.471-0.273*plant morphology+0.314*color and seasonal aspect+0.256*visual line+0.612*rhythm and cadence.Green belt on both sides of the car plant landscape categories:SBEB=1.292+0.566*plant morphology+0.352*color and seasonal aspect+0.127*plant configuration hierarchy+0.551*visual line+0.866rhythm and cadence.Plant landscape trees green belt category:SBEc=0.795+0.906*plant morphology+0.248plant configuration hierarchy.Roadside green belt plant landscape categories:SBEd=0.079-0.096*plant morphology+0.562*color and seasonal aspect+0.123*plant diversity+0.408*plant configuration hierarchy-0.017*visual line+0.026*unity and variety+0.272*rhythm and cadence.(5) According to the forecast model scenic beauty of this article, we recommend a suitable plant in Jinan fast road green belt in four configurations for fast road designers to learn reference.
Keywords/Search Tags:expressway greenbelt, the plant configuration, Scenic BeautyEstimation, impact factor, Semantic Differential
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