| In 1898, Howard put forward “garden city†as an introspection of the expense human paid for cities’ vigorous development. One hundred years later, with the acceleration of urbanization China came the same problem. Nowadays, under the background of the new urbanization, livability as an important direction in the research of urban geography has become the hot topics in the study of urban development at present. Hence, many scholars focus on the study of urban residential suitability.This paper base on the data of numerous filed survey questionnaires on the six indexes such as facilities perfection, travel convenience, residential security, environmental health, landscape beauty and the sense of belonging of the local residents, questionnaires are designed to investigate the residents who had stable life in Lanzhou for more than a year. Then using the method of questionnaire, ArcGIS space analysis method and cluster analysis, and establish urban habitability comprehensive evaluation indexes and model. Choosing 48 streets and a high and technology development zone of major regions of Lanzhou as the research object. This paper evaluates the livability and analyses the spatial characteristics of Lanzhou city, from the perspective of the three spatial levels on city, district and area as basic unit. Study on the spatial structure of urban livability restrict factors has great theoretical and practical significance to urban development programming, and it can provide reference for the urban construction of Lanzhou. The following conclusions are drawn: Lanzhou city lives with a general level of overall livability. For instance, Chengguan which is located in the center of city is the most livable district and Qilihe is the worst. That is to say, the livability is obviously restricted by rivers and mountains spatially and expressed zonally along valleys. The livability of Lanzhou city turns out to be a “multi-center†pattern and present huge differences between east and west. Generally speaking, the score descents of the city level and district level gradually from city center to suburbs in spatial pattern and divergences of indexes are also lager. It accords with the result of evaluation on area level.From the perspective of urban residents, Building influence urban residential satisfaction evaluation questionnaire, The system consists of 6 grade I indexes and 27 grade II indexes as facilities perfection, travel convenience, residential security, environmental health, landscape beauty and the sense of belonging of the local residents, The living environment satisfaction evaluation model is set up. Using ARC/INFO platform, The studied area is divided into 83 grids. Which is used to evaluate the spatial characteristics of human settlement environment. And on this basis this paper Select 579 apartment buildings and with the geographic information statistical software Surfer8.0. Which Generating House prices contour map To evaluate housing price spatial distribution. Finally, Through the multiple regression model discusses the factors influencing the living environment and the housing price.The following conclusions are drawn: There is significant spatial autocorrelation characteristics of Lanzhou Living environment satisfaction by using Moran I. And the Moran I of Living environment satisfaction changes in different scales; Residential satisfaction from each administrative center to periphery region reduced gradually, But in some obvious regional the multi- centers structure pattern are changed, The spatial distribution and residential prices have stronger positive correlation. Living environment satisfaction of the commercial housing prices are relatively high.Using the SPSS statistical analysis software, Evaluation index score for correlation analysis different people’s social attributes such as age, family structure, residents attribute and the correlation between livability, Although each attribute and livability of correlation is very small, But as the factors that affect the overall livability, Residents can reflect the properties of habitability evaluation. |