Site Selection and Planning of Low Cost Housing using Rs and Gis: a Case Study on Prakasam District
J. Damodharreddy1, S.S. Assdi2, D. Satish Chandra3
1J. Damodharreddy, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, Vaddeswaram, Guntur (A.P), India.
2SS. Asadi, Department of Civil Engineering, Vignan’s Foundation for Science Technology and Research, Deemed to be University, (A.P), India.
3D. Satish Chandra, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (A.P), India.
Manuscript received on 02 May 2019 | Revised Manuscript received on 14 May 2019 | Manuscript Published on 28 May 2019 | PP: 374-376 | Volume-7 Issue-6C2 April 2019 | Retrieval Number: F10680476C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Site selection for projects is generally done by manual surveying for analyzing the data required for the project. But this takes lot of time for manual data gathering and analyzing the data for finalizing the site. There is lot of wastage in resources as this trend has been running for many years. To resolve this problem, this study proposes implementation of RS and GIS during site selection procedure, locate an area using RS and GIS with desired requirements for a low cost housing project. The location used for this study is Donakonda area, Prakasam District, Andhra Pradesh (low cost housing for industrial workers). The main aim of this study is to propose a planning for low cost housing by gathering all the site selection details using RS and GIS, collect data required for low cost housing and propose a low cost housing planning. The ultimate result from this study is to show that the cost and time incurred during site selection of any project can be reduced using RS and GIS and improve the planning efficiency.
Keywords: Geospatial Information System (GIS), Low Cost Housing, Remote Sensing (RS),.
Scope of the Article: Assemblage and System