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Abstract
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Article Information:
Computer Application in Routing of Road using Least-Cost Path Analysis in Hillside Development
Imtiaz Ahmed Chandio, Abd Nasir B Matori, Khamaruzaman B WanYusof, Mir Aftab Hussain Talpur, Shabir Hussain Khahro and Munirah Radin Mohd Mokhtar
Corresponding Author: Imtiaz Ahmed Chandio
Submitted: August 07, 2012
Accepted: September 24, 2012
Published: October 20, 2012 |
Abstract:
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The aim of this study is to determine accessibility (road) with application of Geographic Information
Systems (GIS) by using spatial data in hillsides for development. Optimal road planning is a challenging problem of
the environment and economic development in high mountain areas that requires the most sophisticated scientific
methods of path analysis. In planning the most suitable route for the road, the topography has always acted as an
important role as a constraint. The Least-Cost Path Analysis (LCPA) method provides a way to find a route (the
cheapest) best from the start and end in two locations that can be easily calculated by considering several criteria in
GIS. To find a route with the lowest cost for a road, GIS technology has enabled the implementation of a wide range
of linear infrastructure, such as the best route for the road. This study aims at the analysis of best route for a road by
using integrated Multi-Criteria Decision Analysis (MCDA) and LCPA approaches in GIS. This analysis used
topography and functions related to the slope, land use and the cost data layers. The study found that the road should
be kept away from the unnecessary slopes. LCPA model was tested in the form of examples for the most suitable
route planning in the development of mounting sites using ArcGIS 9.3.
Key words: GIS, LCPA, MCDA, most suitable, optimal route planning, ,
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Cite this Reference:
Imtiaz Ahmed Chandio, Abd Nasir B Matori, Khamaruzaman B WanYusof, Mir Aftab Hussain Talpur, Shabir Hussain Khahro and Munirah Radin Mohd Mokhtar, . Computer Application in Routing of Road using Least-Cost Path Analysis in Hillside Development. Research Journal of Environmental and Earth Sciences, (10): 907-911.
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ISSN (Online): 2041-0492
ISSN (Print): 2041-0484 |
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