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Decision support system for promotion of residential apartments in Chennai city using GIS
S. Raghavendran Pixel Infotek Pvt. Ltd. 6 DNR Layout, Palace Guttahalli Bangalore-560 020, India raghavendran@pixelinfotek.com
Over the last 350 years, Chennai has evolved from a
group of fishing hamlets and villages into a vibrant
metropolis. The locus of new residential developments is the south and the west, in an ever-growing semi-circle with the centre gradually moving southward. Major share of the housing supply is provided by the private sector. In the last two decades, development of apartments has become popular because middle-income group can afford only apartments and not independent houses. A new class of realtors known as apartment promoters have emerged, who construct the apartments and sell them. This has resulted in mushroom growth of apartments with a plethora of accompanying problems. With multiple housing finance options available from various lending agencies and interest rates at all time low, property buyers are sitting pretty today to get the best bargain in the market.
Need for the DSS One of the biggest commitments anybody will make in one’s life, both financially and emotionally, is buying a house. Though it is interesting for a few, the experience of most of the buyers is fraught with frustration, exhaustion and poor satisfaction. A significant feature is that the location of a project plays a predominant role in the decision making process. Today buyers may get the right product at the right price but may not necessarily be at the desired location. This trend has discouraged many buyers to retreat from the market. The reason: non comprehensive database available about the apartment promoters and their projects, so that the buyers can choose from a variety of choices available to them. This being the case, no systematic effort has been made in our country, to collect data and to create a Decision Support System, to guide, control and facilitate the apartment promotion activities. The function of a DSS is to help the decision-makers (in this case the apartment buyers and the promoters) in taking quick decisions with easy access to the data with respect to which decisions are taken. This highlights the need for a DSS very much different from the conventional systems, in which data are scattered making it difficult for the decision-makers to have an access to reliable data and in taking quick decisions at the right time. Objectives
Table 1: Average Weightage used in the Computation of Composite Site Index (CSI) on a 10-point scale
Methodology
In order to achieve the objectives set, the following methodology was adopted:
The prime justification for selecting Chennai City as the study area is that more number of residential apartment projects are promoted only within Chennai City, while layouts or vacant plots are more popular in the suburban areas. Thanks to the multiplicity of housing finance institutions offering finance at competitive rates, the MIG (Middle Income Group) and LIG (Lower Income Group) working in the government, banks and public sector undertakings can now afford to purchase an apartment within the city and see their long cherished dream come true. In fact this has increased the demand for LIG and MIG housing Data Collection Collection of relevant and accurate data is very essential for building a good database, which is supposed to be the backbone of any DSS. The required primary data has been collected through field survey and the secondary data through various other sources. 
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