COMPUTER BASED LEAST COST PATHWAY ANALYSIS FOR ROAD ROUTING IN NIGERIA

An effective and efficient route selection process is vital in minimising the construction time and cost. Loss of man hours as a result of distance from source to destination, insecurity and damage ofperishable goods has necessitated the need for this study. This paper presents the results of a stud...

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Bibliographic Details
Published inNED University Journal of Research Vol. 14; no. 4; pp. 61 - 70
Main Authors Peter, Emmanuel Umaru, Musa, Abubakar Akinyele, Zitta, Nanpon
Format Journal Article
LanguageEnglish
Published Karachi NED University of Engineering & Technology 01.09.2017
Subjects
Case studies
Construction
Construction costs
Cost analysis
Criteria
Data analysis
Digital Elevation Models
Digital imaging
Geographic information systems
Geography
Landsat satellites
Local government
Radar imaging
Raster
Remote sensing
Researchers
Roads & highways
Route planning
Route selection
Satellite imagery
Soil maps
Spatial data
Transportation planning
Nigeria
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Summary:An effective and efficient route selection process is vital in minimising the construction time and cost. Loss of man hours as a result of distance from source to destination, insecurity and damage ofperishable goods has necessitated the need for this study. This paper presents the results of a studyfor the development ofleast costpathway (LCP) between twopoints using different criteria and to compare the existing route path with LCP. Landsat 8 OLI/TIRS image, shuttle radar topography mission (SRTM) digital elevation model (DEM) and soil map were used to meet the criteria. ArcMap 10.1 was usedfor data analysis. The criteria determined were reclassified to a common scale and weighted using analytical hierarchyprocess to create the cost surface. The output distance raster and output backlink raster were created. LCP wasfound toprovide much shorter route compared to the existing route In addition, LCP based on the inputted criteria was able to show a considerable level of compliance.
ISSN:1023-3873