Routing of Road Network through Least Cost Pathway Algorithm to Minimize Impacts on Environment
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RESEARCH ARTICLE
Routing of Road Network through Least Cost Pathway Algorithm to Minimize Impacts on Environment Abdolrassoul Mahini & Sahar Abedian
Received: 27 December 2012 / Accepted: 9 December 2013 # Indian Society of Remote Sensing 2014
Abstract In line with growth and sustainable development of the country and fundamental evolution of economic and social matters, the role of road networks becomes ever more significant. The network provides access to hot spots and movement of materials which are necessary for such a development. To address sustainable road development, GIS techniques were used to determine the optimum routes. All important parameters like slope, geology, landslide, etc. were selected, collated in a data base and used to create a cost layer. Then, using the Least Cost Pathway Algorithm, the four routes based on different cost layers were designed in GIS. These cost layers were calculated based on variable threshold values related to each criterion. Finally the optimum way was selected according to distance from landslide zone, fault lines, high slope areas and proximity to economical centres. As conclusion and in comparison, we found that currently designed road without regard to environmental factors may lead to selection of ways that will pass through inhibited zones increasing the likelihood of damage to the environment and economical costs.
Keywords Optimum route . Cost layer . Least Cost Pathway Algorithm . Road network . Sustainable road development
A. Mahini Environmental Sciences, Department of Fisheries and Environmental Science, University of Agricultural Science and Natural Resources, Gorgan, Iran e-mail: [email protected] S. Abedian (*) Environmental Sciences, Department of Agriculture and Natural Resource, University of Payam e noor, Imam Ave, Pajouhesh Sq, Kerman, Iran e-mail: [email protected]
Introduction Transportation systems, particularly highways, play a key role in the development of every country. The highway system provides opportunities for the mobility of people and goods, but also over the long term it influences patterns of growth, land-use and the level of economic activity through provision of accessibility to other lands (Bannister 2002). On the other hand, transportation system, when done heedlessly can damage and fragment the natural environment. Thus, finding the optimal balance between infrastructure development and nature conservation is receiving higher importance than before (Keshkamat 2007). In order to accomplish this goal, a large amount of location based information needs to be analyzed. Traditional methods of optimal routing are mainly based on expensive and protracted methods. These methods are not precise and the role of all effective parameters in road routings cannot be considered easily (Ebrahimpoor et al. 2009). The main step in traditional methods begins with a start to end (source to destination) plan. A large area within the start and end points is identified and detailed data within this whole area is acquired. Typical data
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