DocumentCode
2603909
Title
The Study of Green Space System Planning Based on AHP and GIS in Changzhou City, China
Author
Yannan, Xu ; Deping, Jia ; Xi, Wang
Author_Institution
Coll. of Forest Resources & Environ., Nanjing Forestry Univ., Nanjing, China
Volume
3
fYear
2009
fDate
21-22 May 2009
Firstpage
405
Lastpage
408
Abstract
This article introduces the analytical hierarchy process (AHP) and geographic information systems (GIS) into the traditional green space system planning. It takes the unique advantages of the multi-factor decision-making while combining the qualitative and quantitative analysis of AHP, combines with the strong spatial analysis functions of GIS, and brings a new attempt to the traditional method of green space planning system. In the green space planning system of Changzhou city, we selected 10 factors, established a weight table of these 10 factors; adopted the analysis of overlay topology of space of the geographic information system, space buffer zone analysis, space network analysis, and other functions. Thus, we made a distributing map of the ecologically sensitive area and green space distribution of Changzhou city, which provided us a scientific basis of green space planning system for Changzhou city.
Keywords
decision making; environmental factors; geographic information systems; town and country planning; AHP; Changzhou city; China; GIS; analytical hierarchy process; geographic information systems; green space system planning; multifactor decision-making; overlay topology; qualitative analysis; quantitative analysis; space buffer zone analysis; space network analysis; Acceleration; Cities and towns; Data analysis; Decision making; Educational institutions; Forestry; Geographic Information Systems; Information analysis; Network topology; Process planning; AHP; Changzhou; GIS; Green Space System Planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location
Manchester
Print_ISBN
978-0-7695-3634-7
Type
conf
DOI
10.1109/ICIC.2009.308
Filename
5168891
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