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Spatial Decision Support Systems for GIS based Infrastructure Planning
KCS Murty, JL Raheja and Ranjan Pushilal
Central Electronics
Engineering Research Institute, Pilani (Rajasthan)
We are in the process of development
of a PC based Spatial Decision Support System (SDSS) with sophisticated
analytical capabilities to solve real world problems in public distribution of
essential commodities, using resource network analysis and heuristics based
solutions under the realm of GIS technologies. The scope of the development is
in development of a stand alone software tool for assisting the planners in
location of godowns at FCI, Taluka level, Fair Price Shops (FPS) and allocation
of these among them. The software design is aimed at working in stand-alone mode
under PC based WINDOWS 95 environment. The tool will take into account the
dynamic parameters such as supply change, population change, new topologies,
seasonal problems as floods, change in local production levels and generate
strategies for uniform distribution of items supplemented with better response
time, lesser grievances and reduced transportation cost.
The major
objectives of the development are:
- To provide Spatial Decision Support System at district level for optimal
flow of essential commodities.
- To assist planners in optimal location of new fair price shops, godowns at
different hierarchies.
- To assist planners in overall management of commodity distribution under
dynamic conditions.
Analytical models for location and allocation do
not consider social, economic and political concerns of decision makers. Real
world problems have conflicting objectives. The location models fail to search
solution space where the utility function has multiple criteria. A decision
support system tackles such ill or semi structured problems. It provides
solution adaptively by using explicit knowledge of decision makers expert
knowledge.
The paper describes an object-oriented approach for the
design of a Spatial Decision Support System. The location / allocation models
are represented by a set of network objects. Real world objects are represented
through inheritance from the network objects. This methodology of system design
will help in easy use of the tool for similar other applications.
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