期刊名称：Acta Geographica Debrecina. Landscape and Environment Series
印刷版ISSN：1789-4921
电子版ISSN：1789-7556
出版年度：2015
卷号：9
期号：2
页码：59-70
出版社：University of Debrecen
摘要：The Siltara Industrial belt is an important industrial pocket of Chattisgarh state located in the northern part of the Raipur city, which is rapidly growing. In this process spatial, cultural, political and adminis- trative factors are controlling its rate, direction and pattern. The Simple Linear Regression (SLR) and Multi-Objective Land Allocation (MOLA) techniques, which are embedded in SPSS and Idrisi Kilimanjaro software respectively, and have been used for the estimation of future scenario of the industrial growth. In this model, a suitable platform has been prepared in which future industrialization has been estimated by integrating physical, social, cultural factors and land acquisition policy. In this article, results have re- vealed that industrialization has occurred very fast during last one decade. The industrial land was 6.15 km 2 in 2001 and 18.725 km 2 in 2011 and estimated as 31.30 km 2 in 2021 and 43.87 km 2 in 2031 using SLR. The rapid industrial growth is very critical issues for agrarian society and fresh environment. This model very accurately estimating (overall accuracy=95.39%, Kno=97.24%, agreement=98.63 %) the fu- ture growth of industrial land. This work will be useful to the planners and policy makers of private and government sectors to regulate the sustainable planning practices and smart decision-making
关键词：GIS; Multi-Objective Land Allocation (MOLA); Simple Linear Regression (SLR); ; industrial belt growth
