Optimal Route Selection of the Trans-ECOWAS Line Based on Ghana Railway Development – An Integrated Approach Using Entropy, TOPSIS and Least Cost Path Analysis: An Integrated Approach using Entropy, TOPSIS and Least Cost Path Analysis

Yıl 2022, Cilt: 4 Sayı: 3, 449 - 465, 30.12.2022

Daniel Asenso-gyambıbı Naa Lamkaı Edwin Kojo Larbı Michael Stanley Peprah Benedict Asamoah Philip Okantey

Öz

In this study, an integrated approach of a GIS - based Least Cost Path Analysis (Dijsktra Algorithm) and Multi-criteria decision methods (MCDM) techniques comprising of ENTROPY and TOPSIS was employed for the selection of the optimal route from Aflao to Elubo based on calculation of the cost grid surface in the ArcGIS environment. Topographic data containing digital elevation models, forest reserves, drainage features, land use and settlement data were used for the study. The results showed a model of an optimal route with a length of 471.34 kilometers as against the 540.60 kilometer distance by road. Hence, saving a travel distance of 69.26 kilometers. Also, the proposed distance of the Trans-ECOWAS line was approximately 498 kilometers, which is about 26.66 kilometers further distance compared to the optimal route proposed by this studies. Hence, an economical route has been proposed in terms of time, travel and construction cost. The route passes through four (4) coastal regions. Towns located along the route in the Volta Region includes; Aflao, Tokpo, Mepe, Gefia and Weija, Ablekuma, Ofankor and Mobole are among the towns in the Greater Accra Region found along the stretch. In the Central Region; Efutu, Amissakrom, Ewuoyaa, Mankessim, Apaa and Gomoa Lome are located along the proposed route. Towns along the stretch in the Western Region includes Pataho, Ashiaem, Agege, Amoakwasuazo and completes at Elubo. The optimal route will achieve the lowest cost of railway construction based on calculation of the cost raster layers.

Anahtar Kelimeler

Multi-criteria decision methods, Entropy, TOPSIS, Least Cost Path Analysis, Trans- ECOWAS

Kaynakça

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