WOODAI CALS Co.
GIS
based Decision Support System for the Suitability Analysis of New
Town
The primary purpose of this project was
to build a system to logically support decision making for selecting
the site for urban facilities by using the combination of Spatial
Data Analysis and Decision Analysis. For many years, the overlapping
method has been used to select the desired site. In the simple overlapping
method, the different layers are overlapped simultaneously to get
the common area. However, as more queries have been making the analysis
complicated, logical methodology has become critical to give the
best alternative.
This system was designed to give the rationality and convenience to the users rather than the ordinary GIS package. It was developed using Esri��s Arc/View 3.0A software and VisualBasic 5.0. With some extensions of Arc/View, more functions such as TIN and 3D Simulation could be added depending on the user��s preference.
�� Processes are followed below :
1.
Generate the database for analysis and establish system environmental
configuration
2. Exclude the area related to restrictions by
laws or other conditions
3. AHP Analysis
4. Recommend possible
alternatives after analyzing with additional factors
This system was developed to
satisfy the need to support decision making for site-selection in
the field of urban planning. It is expected to be utilized in analyzing
complex and multidimensional situations in many ways in urban planning.
For
the theory, Decision Analysis was adopted to give the rational alternative
in this system. Decision Analysis is the methodology to study how
to choose the best one among several alternatives in an uncertain
situation. In Multi-Criteria Decision-Making field, Analytic Hierarchy
Process (AHP) was used for supporting decision-making in this system.
AHP works by decomposing information into a hierarchy of criteria
and alternatives. The information is then synthesized to determine
the relative rankings of alternatives.
Steps
of AHP :
1.
State the objective of the decision process & build the structure
in the form of a hierarchy
2. Form the pairwise comparison matrix
by comparing decision attributes
3. Compute the relative importance
weights among decision attributes
4. Recommend the possible
alternatives satisfying