Multi-criteria Evaluation for Ranking Rural Road Projects: Case study of Nepal

Bhandari, Sahadev Bahadur; Shahi, Padma Bahadur; Shrestha, Rabindra Nath

doi:10.9790/1684-11615365

Cited by 7 publications

(9 citation statements)

References 20 publications

(24 reference statements)

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“…This paper extends previous works by Bhandari, Shahi, & Shrestha (2014;2016) [19,20] in the multi-criteria evaluation of rural transportation projects in the case of Nepal. This study in the application of multiple criteria analysis methods for the evaluation of rural transportation projects was conducted with the determination of criteria, weighting of criteria, measurement of criteria, scaling of criteria, and aggregation of the performance of criteria with three multicriteria analysis methods (viz.…”

Section: Methodssupporting

confidence: 85%

“…As mentioned previously, the study was conducted for four rural roads in Dang district of Nepal. The detailed identification of criteria, weights, and performance parameters were described in previous articles [19,20]. There were various MCA methods applied in the transportation projects [10,32] earlier but in this paper three MCA methods (PROMETHEE, TOPSIS and MOORA) are applied and compared.…”

Section: Results and Analysismentioning

confidence: 99%

“…The following methods can be used to establish the weights: a) equal weighting, b) direct weighting, c) regression based observer derived approach, d) the Delphi method [22], e) pairwise comparisons or AHP, and f) Likert scale. The last two methods, AHP and Likert scale, were applied by the first author for the determination of the weights [19,20] due to the robustness and simplicity of these two methods. The same weights were applied in this study.…”

Section: Determination Of Weightmentioning

confidence: 99%

“…Three major criteria are taken, i.e. costs (economic), social, and environmental aspects in the second level [19]. In the third level economic costs are synthesised into financial and social costs.…”

Section: Determination Of Weightmentioning

confidence: 99%

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Application of Various Multiple Criteria Analysis Methods for the Evaluation of Rural Road Projects

Bhandari¹,

Nalmpantis²

2018

TOTJ

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Introduction:Ex-ante evaluation of rural road projects is important for proper utilisation of scarce financial resources. In recent years, several multiple criteria analysis methods have been applied for the evaluation of transportation projects.Methods:Here we compare three multi-criteria methods (i.e. TOPSIS, MOORA, and PROMETHEE) in ranking rural roads. The criteria and weightage were identified with an expert questionnaire survey and the decision matrix was obtained from a field survey of four rural roads of Nepal. These data demonstrate the successful application of various multi-criteria analysis methods for the evaluation of rural road projects with sustainable indicators.Results:The results of multi-criteria methods depend upon the value of performance measures, weightage, normalization, and aggregation procedures.Conclusion:We also concluded that the multi-criteria methods used (i.e. TOPSIS, MOORA, and PROMETHEE), in which weightage is derived using robust methods (e.g. AHP) and precise measurement of criteria of rural roads, in general return similar rankings.

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Section: Methodssupporting

confidence: 85%

Section: Results and Analysismentioning

confidence: 99%

Section: Determination Of Weightmentioning

confidence: 99%

Section: Determination Of Weightmentioning

confidence: 99%

See 2 more Smart Citations

Application of Various Multiple Criteria Analysis Methods for the Evaluation of Rural Road Projects

Bhandari¹,

Nalmpantis²

2018

TOTJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…Given the role of good quality rural road infrastructure in stimulating socio-economic development in rural areas, a comprehensive process of prioritizing rural roads for upgrade is needed to ensure efficient allocation of scarce resources in a manner that maximizes accessibility to key social amenities and economic opportunities. Several studies have carried out prioritization of rural roads for upgrade in different countries (Airey & Taylor, 1999;Yannis et al, 2020;Kumar & Kumar, 1999;van de Walle, 2002;Dalal et al, 2010;Bhandari et al, 2014;Mikou et al, 2019).…”

Section: Introductionmentioning

confidence: 99%