Journals
  Publication Years
  Keywords
Search within results Open Search
Please wait a minute...
For Selected: Toggle Thumbnails
A CASE STUDY ON CVM: EFFECT OF NANHU LAKE,S INDOORS SCENE TO WUHAN,S REAL ESTATE
ZHONG Hai-yue, ZHANG An-lu, CAI Yin-ying
Resources & Industries    2012, 14 (1): 157-163.  
Abstract1603)      PDF(pc) (1415KB)(1493)       Save

Nanhu lake, the second largest lake in Wuhan city, has effects on its surrounding houses by scenic ecology, as people,s living level is rising. This paper, based on indoors scene and questionnaires, applies CVM to evaluate the effect of Nanhu lake,s indoors scene to Wuhan,s real estate, and measures the actual payments at Nanhu lake. Their comparison shows a positive effect that the more rooms where occupant can see the Nanhu lake, the higher price, but the added values are not reflected by house prices, the buyer,s payments are less than half of its values.

Reference | Related Articles | Metrics
TEMPORAL-SPATIAL CHANGES IN LAND UTILIZATION STRUCTURE BASED ON INFORMATION ENTROPY IN LINGSHUI COUNTY
CUI Xin-lei, ZHANG An-lu
Resources & Industries    2009, 11 (6): 25-29.  
Abstract1990)      PDF(pc) (1561KB)(1568)       Save

This paper, based on the land utilization change data during 1997 to 2005, applies the information entropy and equilibrium theory to study the temporal-spatial changes in land utilization structure in Lingshui county, with results indicating: a first slow and then a fast rise in information entropy of land utilization structure in Lingshui county and a general trend of rising homogeneity in land utilization structure; the information entropy of land utilization structure ascends from NW to SE, where can be divided into five regions, ecological protected area, resort area, farmland protected area, ecological agricultural construction area and comprehensive industrial developing area; the economic factors and populational structure play a key part in land utilization structure changes via principle componential analysis.

Reference | Related Articles | Metrics
Cited: Baidu(2)