本文選題：住宅價格 + 空間分布��； 參考：《新疆農(nóng)業(yè)大學(xué)》2014年碩士論文

【摘要】：在建筑結(jié)構(gòu)以及區(qū)位影響住宅價格的假定下，住宅價格的空間分布應(yīng)該具有一定的規(guī)律，市中心商務(wù)密集區(qū)的房價會比外圍地區(qū)高。這些規(guī)律只能說是經(jīng)驗(yàn)之談，要對住宅價格的空間規(guī)律做出準(zhǔn)確的描述，還需要有力的數(shù)據(jù)和方法支撐。本文的研究始于多渠道收集烏魯木齊市2010-2013年住宅價格資料并建立空間信息庫；基于ArcGIS以及Sufer軟件，利用空間分析方法和Kriging插值法繪制住宅價格空間等值線、三維價格模型以及風(fēng)向演變圖等住宅價格空間分布特征圖，深層探析其分布規(guī)律、影響因素、演變趨勢，并就住宅價格空間優(yōu)化發(fā)展提出政策建議，得出的主要結(jié)論有： （1）烏魯木齊市主城區(qū)住宅價格分布呈現(xiàn)出多中心的島狀空間格局，且空間差異十分明顯呈多中心橢圓狀、圈層遞減分布，另外在不同住宅價格峰值中心之間零星分布著價格較低的住宅；住宅價格空間分布有明顯的區(qū)域性，住宅價格空間等值線疏密變化差別較大；以價格劃分的各檔次住宅同類型分布相對集中。 （2）烏魯木齊市住宅價格總體上空間集聚格局明顯，也有少量呈現(xiàn)空間異質(zhì)性而離散分布；在不同距離尺度空間上集聚現(xiàn)象較為明顯，隨著距離尺度的增加，高價和低價集聚范圍總體上擴(kuò)大，少數(shù)區(qū)域高價或低價住宅小區(qū)隨著距離尺度增加顯著現(xiàn)象不再明顯；城市景觀、交通條件、城市規(guī)劃、居民住房選擇行為等因素共同影響著一個城市住宅價格空間分布格局的形成。 （3）針對烏魯木齊市住宅價格空間分布的現(xiàn)狀及未來可能的演變趨勢，政府首先加強(qiáng)老城區(qū)、棚戶區(qū)及傳統(tǒng)商業(yè)服務(wù)區(qū)的環(huán)境升級改造，，提升人居適宜度；然后調(diào)整住房結(jié)構(gòu)，促進(jìn)高價位地區(qū)低價房的開發(fā)；最后在新城區(qū)開發(fā)過程中，實(shí)施住宅規(guī)模開發(fā)，減弱社會居住分異。
[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.
【學(xué)位授予單位】：新疆農(nóng)業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F299.23

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本文編號：1914419