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  location factor
One location factor, namely accommodation, has remained underexposed, yet its relevance to location choice should not be overlooked.
      
Accommodation as a location factor for office organisations: Implications for location theory
      
The model can be understood as a two-way ANOVA, with greenhouse virus concentrations and virus concentration of the indicator cultivar as concomitant variables on the cultivar and location factor.
      
The pressure diffusion process is visualized and the well-location factor concept is first proposed in this paper.
      
The employment location submodel is based on the assumption that accessibility to the labor force is the strategic location factor.
      
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Land gradation in cities and towns is physical evaluation of land, that is to say, under the specific purpose, according to the economic and natural attributes of Urban land and its status and functions, in urban social economical activities. At the begining we recognized the forms and extent of urban land use, applied certain technical means and technical levils, evaluate the land quantities comprehensively, and graded the urban land classes. Its theoreticul basis is Theory of Location and Theory of Land...

Land gradation in cities and towns is physical evaluation of land, that is to say, under the specific purpose, according to the economic and natural attributes of Urban land and its status and functions, in urban social economical activities. At the begining we recognized the forms and extent of urban land use, applied certain technical means and technical levils, evaluate the land quantities comprehensively, and graded the urban land classes. Its theoreticul basis is Theory of Location and Theory of Land rents. There are many factors which influence the use values of land, so it is critical how to choose the factors of gradation reasonably. There are three principles for us to choose the factors: firstly, choose the dominant location factors(business service and traffic); secondly, choose the factors which are universal, wide and influential and, thirdly, cooperate the urban planning closely and enphasize the urban characteristics. According to these principles we have organize the experts to inquire twice and decided four big types, seven factors and 26 sub-factors to form the evaluation system of land quantities. Correspoudingly, we have applied comprehensive evalution methods of many factors to study land gradation. Its basic principle is using quantitative method to embody the extent of influence of all kinds of factors with numbers during the land gradation, and then to use certain maths model to compose a comprehensive index and grade the classes of land quantities according to the indexes. We have graded the land of xi 'an central urban region(an area of about 197 km~2)to 7 classes. On the basis of this, we have analyzed the business profits of every kind of land class and founded a measure model of differences of benfits and given practical measure test. The test results in discovering the differences of land rents of defferent classes better. This proves that the result of land gradation in Xi'an is scientific, reasonable and practical. It provides an important foundation for the paid uses of urban land and urban development planning.

本文以西安市中心城市区土地定级为例,对城镇土地定级的理论和研究方法进行了较深入的研究、探讨,拓宽和深化了地理学、土地经济学的研究内容。为我国城镇土地定级研究工作的进一步开展提供重要依据。

The commerical residence in Shanghai real estate market are selected as the studyobject. Based on exploring House Property Information inquiry System, the commericalresidence datd are collected and sorted out. Applying the GIS technology. the authorenclosed the spatial distribution characters of the commerical residence price inShanghai. After the effects of the location factors on the price distribution are discussed. the Price-location Regression Model is established to reflect the relationshipbetween...

The commerical residence in Shanghai real estate market are selected as the studyobject. Based on exploring House Property Information inquiry System, the commericalresidence datd are collected and sorted out. Applying the GIS technology. the authorenclosed the spatial distribution characters of the commerical residence price inShanghai. After the effects of the location factors on the price distribution are discussed. the Price-location Regression Model is established to reflect the relationshipbetween the residence price and location factors.

本文选择了房地产市场较为成熟的上海市的商品住宅作为研究对象、在开发房产信息查询系统的基础上.搜集整理商品住宅销售信息资料、并运用地理信息系统技术、绘制上海市商品住宅等值线图、以揭示上海市商品住宅价格的空间分布规律、进而探寻各区位因子对价格空间分布的影响.最终建立回归模型、并对回归模型作出了解释。

With a technique of GIS and a method of multiple linear regression analysis, the spatial distribution of Shanghai land values and its relationship with some location factors are examined in this paper. The data base of land values consists of 166 land parcels leased during 1993 ̄1994. The land value map of constructed from 155 sample land lots shows that the spatial distribution of Shanghai land values has some distinct spatial features. First, the highest land value areas are located along Nanjin Road,...

With a technique of GIS and a method of multiple linear regression analysis, the spatial distribution of Shanghai land values and its relationship with some location factors are examined in this paper. The data base of land values consists of 166 land parcels leased during 1993 ̄1994. The land value map of constructed from 155 sample land lots shows that the spatial distribution of Shanghai land values has some distinct spatial features. First, the highest land value areas are located along Nanjin Road, Huaihai Road and Bund. From these high land value areas there is sharp decline in all directions except in two regional shopping centers, Xujiahui and Yuyuan. Secondly, there is no conspiculus perk land value intersection within the CBD, which locates within Middle Xizang Road, East Beijing Road, Bund ad East Jinling Road. Finally, the land values of Pudong are much lower than that of Puxi and there is a sharp drop along Puangpu River on the land value isogram map. The multiple regression model between Shanghai land values and selected location factors calculated from the sample land lots is as fellow:Y=734 98-21 66X 1-36 34X 2-27 42X 3-4 61X 4-1 71X 5+0 18X 6where Y is the land value at any location, X 1 is the distance of a land lot to the center of Shanghai (Renmin Square), X 2 to Nanjin Road, X 3 to Huaihai Road, X 4 to Bund, X 5 to major outlying regional shopping centers, X 6 to some major transportation nodes. Three unimportant variables, X 4 , X 5 and X 6 , being rejected, the model is simplified as:Y=732 09-28 70X 1-35 16X 2-25 17X 3 The above two models indicate that Nanjin Road is the First important location factor affecting the spatial distribution of Shanghai land value, the city center is the second one and Huaihai Road is the third one. Bund, the regional shopping centers and the transportation nodes have little influence on the spatial distribution of Shanghai land values. The relationship between shanghai land values and the selected location factors is determined by the distribution of commercial activities, the characteristics of the CBD and the spatial form of the city. Nanjing Road and Huaihai Road, both of which stretch more than 5 kilometers, are traditional commercial ribbons and are more and more concentrated with various commercial activities especially after large scale redevelopment in recent years. In addition, there are many other commercial streets, such as Middle Xizang Road, East Beijing Road, East Jinlin Road, Middle Henan Road, in the central area of the city. The great concentration of commercial activities in the central area, especially along Nanjing Road and Huaihai Road, results in a steep rise of the land values. So Nanjing Road, the city center and Huaihai Road become the most improtant location factors affecting the distribution of Shanghai land values. Compared with the central area, the concentration of the outer areas of the city is very low. So the regional shopping centers and the transportation nodes nearly have no affection on the land values. Although Bund is an important sightseeing area and is becoming a major financial street of Shanghai it has little influence on the spatial distribution of land values of the whole city because of its location on the east side of city and adjacent to the low land value area of Pudong Bund.

本文采用GIS技术和多元线性回归分析方法,以土地批租地块为样本,分析上海市地价与城市区位因子的线性关系。回归分析结果表明:南京路、市中心和淮海路是影响上海市地价空间差异的主要区位因子,外滩、次级商业中心和交通结节点对地价的影响很小,表明上海市地价的空间分布具有很高的向心性。上海市地价与区位因子这种关联性与该市的商业分布格局、CBD的功能结构和城市形态有关。

 
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