Ali, Neja (2014) Analytic Network Process Based Evaluation and Analysis of Railway Station Site Selection in Ethiopia. Masters thesis, Addis Ababa University.
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Abstract
This paper deals with the problem of finding an optimum site for a railway station, simultaneously it is intended to investigate, analyze and evaluate the Ethiopian railway station site selection using the method of Analytic Network Process (ANP). The paper identifies five major criteria: (1) Environmental, (2) Engineering, (3) Institutional, (4) Social, and (5) Economical factors. In addition, there are 23 sub criteria. Data are collected from Ethiopian Railways Corporation (ERC), questionnaire and survey, prepared in four types: (i) pairwise comparisons between major criteria with respect to the goal, (ii) pairwise comparisons between sub criteria with respect to common cluster, (iii) pairwise comparison between sub criteria with respect to the goal (i.e. the outer dependences between sub criteria of different clusters), and (iv) pairwise comparison between alternatives with respect to sub criteria. The results from the questionnaire are feed into ANP in order to evaluate and identify the most suitable site. Then, the study evaluates the ERC decision in three selected railway station sites, Dire Dawa, Bike, and Dewenle and have got the same in Dire Dawa and Dewenle, but different in Bike. Finally, the output of this particular paper is applicable not only on railway station site selection but also on rail/road route, pipeline, waste disposal selection etc.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Mechanical and Industrial Engineering |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HE Transportation and Communications T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Divisions: | Africana |
| Depositing User: | Andriamparany Edilbert RANOARIVONY |
| Date Deposited: | 19 Nov 2018 10:57 |
| Last Modified: | 19 Nov 2018 10:57 |
| URI: | http://thesisbank.jhia.ac.ke/id/eprint/7483 |
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