DSS FOR IDENTIFICATION OF SPECIAL ECONOMIC ZONES USING GEOINFORMATION TECHNIQUES

Abstract

The occurrence of the Decision Support System (DSS) is an inevitable outcome of a sustained and continuous development and integration of computer technology, communication technology and management theory. Site selection of a Special Economic Zone (SEZ) site is a critical strategic decision made by owners/ investors that significantly affects the profit and loss. As such, industrial site location analysis is big business whether measured in terms of amount invested, decision makers involved, employees affected, or the economy of the area influenced. A decision needs to be made about the areas that are most suitable for such establishment. The study area used is district Ghaziabad in sate of Uttar Pradesh. The district of Ghaziabad lies in the doab of famous rivers of northern India, the Ganga and the Yamuna. It is bounded on the east by district Jyotiba Phule Nagar and on the west by the Union Territory of Delhi and are separated by the rivers Ganga and Yamuna in the east and west respectively. The constraints are taken into account to create the suitable areas. Suitable areas included are those that satisfy a given criteria, like proximity to main roads, low land cost etc. Certain areas are to be excluded from consideration, like rivers, lakes, forests, strong erosion, areas endangered with floods. Industrial site requires large amount of contiguous land. The land acquisition is a complex task. GIS and remote sensing provide a broad range of tools for SEZ site mapping, monitoring and management to achieve optimization in their utilization and conservation. For development of DSS the IRS P6 LISS 4 sensor data used for analysis purpose. For generating land feature layer ARC GIS software is used. The graphic based front end is developed in Visual basic 6.0. Presently, site planners have started to use these powerful tools to find the best locations to develop such sites. In this work the appropriateness of Analytic Hierarchy Process (AHP) is explained to support the decision making for site selection for SEZ. Decision-making involving multiple, sometimes conflicting, objectives and/or criteria is called Multi Criteria Decision-Making. This dissertation intends 'to describe how to design an optimized and effective decision support system (DSS) for SEZ site selection by using the GIS and remote sensing to achieve optimization in its utilization.