Citation
Abd Aziz, Azwan
(2004)
Spatial Decision Support System for School Sitting.
PhD thesis, Universiti Putra Malaysia.
Abstract
School building is a long term investment that always involves huge capital.
Although school building has always been given top priority in the Malaysia Plan
series, the number of existing schools is still inadequate. The present system of
school planning is inefficient because it has neglected the spatial factor which is part
of very important components in educational planning. Poorly planned schools will
lead to obsolescence and once this happens, the schools in the area either have to be
remodeled or be replaced.
Despite the importance of school planning, not much information are available that
deals with spatially-based school planning as a complete process. Most of them are
written by planners from developed countries which have been found unsuitable for
developing countries such as Malaysia because of the differences in policy and
focus. Therefore there is an urgent need to develop a Spatial Decision Support
System for school planning that suits the local setting. The objectives of this system are first to identify parameters for the proposed study, establish a model to optimize
the school system efficiency, identify the most suitable location for a new school and
then redraw the attendance boundary based on the optimization of school capacity
and student distribution. To achieve this, GIS analysis is combined with other tools
such as Multiple Criteria Analysis, Analytical Hierarchy Process, Location-
Allocation Modeling and Gravity Model. Based on the diagnosis, three possible
solutions are suggested, followed by discussions of the advantages and
disadvantages of each scenario. The results generated by the system are very
encouraging because it has shown that schooling system can be improved
significantly while satisfying both the shortest distance constraint and also the
school capacity constraint.
The study has shown that this GIS-based system is able to fulfill all the objectives of
this study. Through readings and research, all parameters and constraints have been
identified as inputs for the system. Using these parameters, this system is able to
classify schools based on the critical needs as well as identifying the most suitable
region for providing new schools or relocation of the existing schools. Lastly, the
system is able to show alternatives towards making the best decision by providing
simulations based on many possibilities.
This model also has the potential to be extended for other educational planning
areas, for example the allocation of teaching personnel and the distribution of
educational resources. As a conclusion, this GIS-based system, combined with
educational data can be a very important tool for educational planning.
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