乌鲁木齐市住宅价格空间分布格局研究
本文选题:住宅价格 + 空间分布 ; 参考:《新疆农业大学》2014年硕士论文
【摘要】:在建筑结构以及区位影响住宅价格的假定下,住宅价格的空间分布应该具有一定的规律,市中心商务密集区的房价会比外围地区高。这些规律只能说是经验之谈,要对住宅价格的空间规律做出准确的描述,还需要有力的数据和方法支撑。本文的研究始于多渠道收集乌鲁木齐市2010-2013年住宅价格资料并建立空间信息库;基于ArcGIS以及Sufer软件,利用空间分析方法和Kriging插值法绘制住宅价格空间等值线、三维价格模型以及风向演变图等住宅价格空间分布特征图,深层探析其分布规律、影响因素、演变趋势,并就住宅价格空间优化发展提出政策建议,得出的主要结论有: (1)乌鲁木齐市主城区住宅价格分布呈现出多中心的岛状空间格局,且空间差异十分明显呈多中心椭圆状、圈层递减分布,另外在不同住宅价格峰值中心之间零星分布着价格较低的住宅;住宅价格空间分布有明显的区域性,住宅价格空间等值线疏密变化差别较大;以价格划分的各档次住宅同类型分布相对集中。 (2)乌鲁木齐市住宅价格总体上空间集聚格局明显,也有少量呈现空间异质性而离散分布;在不同距离尺度空间上集聚现象较为明显,随着距离尺度的增加,高价和低价集聚范围总体上扩大,少数区域高价或低价住宅小区随着距离尺度增加显著现象不再明显;城市景观、交通条件、城市规划、居民住房选择行为等因素共同影响着一个城市住宅价格空间分布格局的形成。 (3)针对乌鲁木齐市住宅价格空间分布的现状及未来可能的演变趋势,政府首先加强老城区、棚户区及传统商业服务区的环境升级改造,,提升人居适宜度;然后调整住房结构,促进高价位地区低价房的开发;最后在新城区开发过程中,实施住宅规模开发,减弱社会居住分异。
[Abstract]:Under the assumption that the building structure and location influence the housing price, the spatial distribution of the housing price should have a certain rule, and the housing price in the downtown commercial intensive area will be higher than that in the peripheral area. These laws can only be said to be empirical, to make an accurate description of the spatial law of housing prices, but also need to have strong data and methods to support. The research of this paper begins with the collection of housing price data from 2010 to 2013 and the establishment of spatial information base in Urumqi. Based on ArcGIS and Sufer software, the spatial contour of housing price is drawn by using spatial analysis method and Kriging interpolation method. Three-dimensional price model, wind direction evolution map and other residential price spatial distribution characteristics map, deep analysis of its distribution law, influencing factors, evolution trends, and put forward policy recommendations on the housing price space optimization development, the main conclusions are: 1) the price distribution of residential buildings in Urumqi city shows a multi-center island spatial pattern, and the spatial difference is obviously multi-center ellipsoid, and the distribution of circle decreases. In addition, there are scattered residential houses with lower price between different peak price centers, the spatial distribution of housing prices is obvious regional, and the difference of the spatial contour of housing prices is great. With the price division of the same type of residential housing distribution is relatively concentrated. 2) the spatial agglomeration pattern of housing price in Urumqi is obvious, there are a few spatial heterogeneity and discrete distribution in Urumqi, and the agglomeration phenomenon is obvious in different distance scales, and with the increase of distance scale, The agglomeration range of high price and low price is enlarged in general, and the phenomenon of high or low price residential district in a few regions is no longer obvious with the increase of distance scale; urban landscape, traffic conditions, urban planning, Residential housing choice behavior and other factors affect the formation of a city housing price spatial distribution pattern. In view of the present situation of the spatial distribution of housing prices in Urumqi and the possible evolution trend in the future, the government first strengthens the upgrading and upgrading of the environment in the old urban areas, shantytowns and traditional commercial service areas, and then adjusts the housing structure. Finally, in the process of the development of the new urban area, the implementation of residential scale development, reduce the difference of social housing.
【学位授予单位】:新疆农业大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F299.23
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