基于地价质量协调度的城市理性地价研究——以全国35个重点监测城市住宅地价为例

研究城市理性地价是城市土地资产核算和价值评估的客观需要,可为政府根据价格信号做出科学决策提供依据.以全国35个重点监测城市2008-2013年住宅地价为研究对象,采用多因素综合评价法测得城市地价质量,运用序列化比较检测城市地价间的协调程度,并通过构建回归模型对城市理性地价进行判断.结果表明：（1）研究期间住宅地价总体呈平稳上升趋势,仅哈尔滨、南京等9市略有下降;（2）住宅地价处于基本合理范围内的城市约占60%,其余城市地价实际值与理论值差距较大;（3）以经济发展水平和地价水平进行衡量,东部沿海城市条件优越,形成双高型城市;中、西部地区相对较差,形成双低型城市;（4）地价较为合理的城市其地价与地价质量协调性也较好,二者匹配度较高.

基于模糊综合评判法的郑州市地价预警分析

在分析地价警情的基础上,以9个城市为样本,采用模糊综合评判法、多元线性回归方法构建了合理性地价评判模型,测算了郑州市合理性地价水平,结果表明该市2007～2009年的城市综合地价水平处于合理范围内。在此基础上,提出了相关建议。

Evaluation on Suitability of Camellia sinensis Planting Based on GIS

Camellia sinensis is an important commercial crop in China. Suitability evaluation of tea tree planting, which is an embodiment of agricultural planting based on Geographic Information System（GIS）, includes overlay analysis, hierarchical analysis,artificial intellegence, multivariable linear regression and fuzzy evaluation. Via a series of functions of GIS such as data query, retrieve and management, we can be informed of current situation and problems in tea plant development, find out areas which are appropriate or inappropriate for Camellia sinensis planting and figure out corresponding planting schemes and policies. Science and technology are the basic solution to modernization of Camellia sinensis planting. It is necessary to set up decision information and plantation management systems in agriculture on account of GIS, which are important channels to regionalization of Camellia sinensis planting suitability.

Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model

This paper studies the relationship between accessibility and housing prices in Dalian by using an improved geographically weighted regression model and house prices, traffic, remote sensing images, etc. Multi-source data improves the accuracy of the spatial differentiation that reflects the impact of traffic accessibility on house prices. The results are as follows: first, the average house price is 12 436 yuan(RMB)/m^2, and reveals a declining trend from coastal areas to inland areas. The exception was Guilin Street, which demonstrates a local peak of house prices that decreases from the center of the street to its periphery. Second, the accessibility value is 33 minutes on average, excluding northern and eastern fringe areas, which was over 50 minutes. Third, the significant spatial correlation coefficient between accessibility and house prices is 0.423, and the coefficient increases in the southeastern direction. The strongest impact of accessibility on house prices is in the southeastern coast, and can be seen in the Lehua, Yingke, and Hushan communities, while the weakest impact is in the northwestern fringe, and can be seen in the Yingchengzi, Xixiaomo, and Daheishi community areas.

Geographical Impact and Ecological Restoration Modes of the Spatial Differentiation of Rural Social-Ecosystem Vulnerability:Evidence from Qingpu District in Shanghai

Vulnerability research is the core issue and one of the research hotspots of sustainable development science.Vulnerability and its evaluation framework provide a new perspective for rural social-ecosystem studies.This paper introduced the‘input-output’efficiency theory and constructed the‘SEE-PSR’framework for the analysis of social-ecosystem vulnerability in the rural area in Qingpu District of Shanghai City.The DEA models,spatial autocorrelation model,multivariate logistic regression model,geographical detector and hierarchical cluster model were used to analyze the spatial differences of social-ecosystem vulnerability,and its geographical impact mechanisms and ecological restorations,in 184 administrative villages in this area.The results can be divided into three main points.(1)The results of the‘input-output’efficiency model of the EW-DEA based on entropy weight aggregation crossover was more reliable and accurate for the evaluation of rural social-ecosystem vulnerability.The vulnerability of the social-ecosystems in the administrative villages showed a trend of gradual decline from east to west,with an average value of vulnerability of 0.583,and the vulnerability of social systems had become an important factor in constraining the decrease of the vulnerability of the social-ecosystems in the region.(2)The distances from the center of Shanghai City,from Dianshan Lake,from the center of Qingpu District and from the water area were the four dominant geographical factors affecting the vulnerability of the social-ecosystem in this region.The geographical impacts exhibited the spatial differentiations of systemic structure,the substitution of typological attributes and the transformation level.(3)The geographical factors coupling the impact types of the social-ecosystem vulnerability were divided spatially into 10 types.The geographic multi-factor coupling impact types were dominant,which presented multi-cyclic spatial patterns and were dominated by the central multi-factor which was surrounded by the single factor types on both sides.According to the different types,some feasible ways of ecological restoration were proposed,which drew on the experiences of integrated territory consolidation to remediate the vulnerability of rural social-ecological systems.The results of this study can provide scientific reference for rural spatial reconstruction,regional ecological restoration and sustainable development for the regions characterized by conflict in the‘strict protection of the ecological environment and vigorous development of the economy’.

Investigation of a landslide in the new site of Badong County by integrated geophysical survey

An integrated geophysical survey which combines vertical seismicprofile method, shallow reflection seismic method, electric sounding, soil temperature measurement and radioactive gas measurement was used to investigate Zhaoshuling landslide in the new site of Badong County and to assess the stability of the landslide. By rational use of these methods together with borehole geological profile and other geological information, the spatial distribution of the landslide body, the formations and structures within and without the landslide body were determined and the stability of the landslide was also assessed, thus making great contribution to the successful and rational investigation and assessment of the landslide.