节地导向下的神木县城空间形态优化研究

发布时间：2018-06-01 04:52

本文选题：神木县城 + 节地导向　；参考：《西安建筑科技大学》2017年硕士论文

【摘要】：陕北黄土丘陵沟壑区是我国生态环境最脆弱的地区之一,位于该区域的城镇所受的生态约束比一般地区更多。本文选取陕西省榆林市神木县城为研究对象,神木是陕北黄土丘陵沟壑区中资源富集的典型城镇,由煤炭资源带动的经济发展使得神木的空间建设需求不断增加,导致县城可建设用地处于紧缺状态,县城空间形态甚至突破了基本的地形限制。本研究所指“节地导向”是在满足神木县城社会发展的基本需求的前提下,聚焦于城市整体空间而不是某一局部,探讨城市空间边界、空间结构和空间布局来达到资源的集约利用。首先,在空间边界方面,借助ArcGIS明确神木县城的生态约束界限,以之为基准划定空间拓展的最大刚性界限,进而在该范围内模拟几种空间拓展状况,从中选取最紧凑的边界作为节地边界,得到的节地边界紧凑度为0.40,相比于现状边界提高0.13;其次,在空间结构方面,运用Depthmap空间句法定量分析现状结构存在的问题,以问题为导向组织空间结构的合理发展,节地结构的集成度上升至0.42,相比于现状结构提高0.04;最后,在空间布局方面,运用ArcGIS分析5类城市主要用地的分布密度,根据用地分散程度、集聚程度和混合程度,以问题为导向优化空间布局,节地布局的用地混合度为14%,相比于现状布局增加10%。综上,以节地导向的空间边界、空间结构和空间布局研究为基础,三者叠合后得到节地导向下的神木县城空间形态,其建设用地规模相比于现行总体规划减少3.43平方公里。这表明边界紧凑、结构合理、布局混合对于节约集约利用土地效果明显。本文以定量结合定性的方式对神木县城空间形态展开研究,运用数理方法确定节地导向下的空间形态,旨在加强神木县城空间形态建构的科学性。本次研究对陕北黄土丘陵沟壑区的城镇空间形态优化有着较强的实践价值,也为其他生态脆弱地区城镇的空间发展提供一定参考。
[Abstract]:The Loess Hilly and Gully region in Northern Shaanxi is one of the most fragile ecological areas in China. The towns in this region are subject to more ecological constraints than the general areas. This paper selects Shenmu County of Yulin City, Shaanxi Province as the research object. Shenmu is a typical town with rich resources in loess hilly and gully region of Northern Shaanxi. The economic development driven by coal resources makes the demand for space construction of Shenmu increase. As a result, the construction land in the county is in short supply, and the spatial form of the county has even broken through the basic terrain restriction. The "land saving orientation" mentioned in this study is focused on the whole space of the city, not a certain part, on the premise of satisfying the basic needs of the social development of Shenmu County, and discusses the boundary of the urban space. Spatial structure and spatial layout to achieve intensive use of resources. First of all, in the aspect of space boundary, with the help of ArcGIS, the ecological constraint boundary of Shenmu county is defined, and the maximum rigid boundary of space expansion is delineated on the basis of it, and several kinds of spatial expansion conditions are simulated in this range. Choosing the most compact boundary as the boundary, the compactness of the boundary is 0.40, which is 0.13 higher than that of the present situation. Secondly, in the aspect of spatial structure, the problems of the present structure are quantitatively analyzed by using Depthmap spatial syntax. With the rational development of problem-oriented organization spatial structure, the integration of land saving structure rises to 0.42, which is 0.04 higher than the present structure. Finally, in spatial layout, ArcGIS is used to analyze the distribution density of five kinds of major urban land. According to the degree of land dispersion, the degree of agglomeration and the degree of mixing, the spatial layout is optimized under the guidance of the problem. The land mix degree of the land saving layout is 14%, which increases by 10% compared with the present layout. In summary, based on the study of the spatial boundary, spatial structure and spatial layout of land saving guidance, the spatial form of Shenmu county city under the guidance of saving land is obtained, and the scale of construction land is reduced by 3.43 square kilometers compared with the current overall plan. This shows that the boundary is compact, the structure is reasonable, and the effect of layout mixing on saving intensive land use is obvious. In this paper, the spatial form of Shenmu county is studied in the way of quantitative analysis and qualitative analysis. The purpose of this paper is to strengthen the scientific nature of the construction of spatial form of Shenmu county by means of mathematical method to determine the spatial form under the guidance of land saving. This study has a strong practical value for the optimization of urban spatial form in loess hilly and gully region of northern Shaanxi, and also provides a certain reference for the spatial development of towns in other fragile ecological areas.
【学位授予单位】：西安建筑科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU984.113

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