Application of AHP method for project selection in the context of sustainable development

Babeľová, Zdenka Gyurák; Horňáková, Natália; Šantavá, Eva; Cagáňová, Dagmar; Sablik, Jozef

doi:10.1007/s11276-020-02322-2

Cited by 28 publications

(26 citation statements)

References 10 publications

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“…e long-established and widely accepted MCDM methods, such as AHP, TOPSIS, and VIKOR, find extensive application to this day. In recent years, the AHP method was used for selecting routes for oversized cargo transport [6], identifying the most relevant sustainability issues [7], selecting sustainable projects [8], etc. e TOPSIS method found its application for reverse logistics performance evaluation [9], policy selection for developing electric vehicle systems [10], supplier selection [11], etc.…”

Section: Overview Of Recent Mcdm Methods Applicationsmentioning

confidence: 99%

“…By applying the relations given in Table 3, the evaluations were transformed to the fuzzy values, thus forming the criteria evaluation matrices (1), while satisfying conditions (2) and (3). For the matrices obtained in such way, the consolidated criteria evaluation matrix is formed by applying equations 4- (8). By applying equation ( 9), the potential criteria impact was calculated, and by applying equation (10), the total impact (importance) of criteria was determined.…”

Section: Evaluation Of the Last Mile Solutionsmentioning

confidence: 99%

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A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Krstić

Tadić

Kovač

et al. 2021

Mathematical Problems in Engineering

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Modern social trends are intensively transforming supply chains and the last mile as their most complex and most expensive segment. For the realization of the last mile, various solutions can be defined which combine initiatives, technologies, and concepts of city logistics. The successful implementation of these solutions depends on the characteristics of the city, the goals of stakeholders, and the ability to achieve economic, social, and environmental sustainability. In accordance with that, this paper defines innovative sustainable last mile solutions and evaluates their potential application in the real-life logistics system of the city. As evaluation requires consideration of a large number of criteria, this is a problem of multicriteria decision-making, and for solving it, a novel hybrid model that combines Delphi, FARE (Factor Relationship), and VIKOR (Višekriterijumska Optimizacija i Kompromisno Rešenje) methods in the fuzzy environment has been developed. The applicability of the model is demonstrated in the example of evaluating the last mile solution for the central business district of the City of Belgrade. A combination of microconsolidation centers and autonomous vehicles is obtained as the most favorable solution.

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Section: Overview Of Recent Mcdm Methods Applicationsmentioning

confidence: 99%

Section: Evaluation Of the Last Mile Solutionsmentioning

confidence: 99%

A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Krstić

Tadić

Kovač

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Theoretical Basis of HP Method. The analytic hierarchy process refers to taking a complex multiobjective decisionmaking problem as a system, decomposing the goal into multiple goals or criteria, then decomposing it into several levels of multiple indicators (or criteria and constraints), and calculating the hierarchical single ranking (weight) and total ranking through the fuzzy quantitative method of qualitative indicators as the goal (multiple indicators) or a systematic method of multischeme optimization decision [20,21]. The analytic hierarchy process decomposes the decision-making problem into different hierarchical structures according to the order of general objectives, subobjectives of each level, evaluation criteria, and specific standby investment scheme and then obtains the priority weight of each element of each level to an element of the upper level by solving the eigenvector of the judgment matrix.…”

Section: Design Of Tourism-driven Real Estate Economic Growth Quality...mentioning

confidence: 99%

Evaluation Method of Economic Growth Quality of Tourism-Driven Real Estate Based on AHP

2022

Wireless Communications and Mobile Computing

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The traditional tourism-driven real estate economic growth quality evaluation model has the problem of low fitting degree and dynamic degree. In order to solve this problem, a tourism-driven real estate economic growth quality evaluation method based on an analytic hierarchy process (AHP) is proposed. In order to reduce the solution scale of tourism-driven real estate economic growth quality evaluation, the analytic hierarchy process is used to calculate the possibility index, severity index, and economic growth quality index of tourism-driven real estate economic growth and screen and rank the economic growth quality. The discrete zoning model is used to determine the economic growth level of tourism-driven real estate. Using the Mahalanobis distance of multiattribute vector of economic growth quality evaluation index, the distance from the risk element to positive ideal solution and negative ideal solution is defined. By calculating the closeness of data economic growth quality element, this paper constructs a tourism-driven real estate economic growth quality evaluation model. The experimental results show that the model has high dynamics and reliability and greatly improves the joint evaluation effect of tourism-driven real estate economic growth quality.

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“…Ren and Ding (2019) performed an analytic hierarchy process to investigate the impacts of high-speed rail on regional economic development in China. Jurík et al (2020) applied the AHP method to select projects related to the three dimensions of economic, social, and environmental for sustainable development.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing the Green Bond Market Expansion: Evidence from a Multi-Dimensional Analysis

Sarker

Rasoulinezhad

2020

JRFM

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Expansion of green bond markets as an appropriate way to lower environmental pollution is one of the most debatable issues among scholars. However, the expansion of this market is not a simple matter and depends on several factors. The main purpose of this study is to carry out a multi-dimensional analysis using the analytic hierarchy process (AHP) method to find and prioritize factors influencing the development of green bond markets. As a case, we do our analysis for Vietnam that, since the last years, has been trying to expand green bond market as an effective investment channel to finance low-carbon projects. The main findings revealed that legal infrastructure, official interest rate of green bonds, and economic stability are the most important factors directly affecting green bond market expansion. Therefore, economic and legal requirements should be addressed by policy makers. As major policy implications, we recommend an affordable price of green bonds and improvement of economic and financial stability to accelerate the development of green bond markets.

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Application of AHP method for project selection in the context of sustainable development

Cited by 28 publications

References 10 publications

A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

A Novel Hybrid MCDM Model for the Evaluation of Sustainable Last Mile Solutions

Evaluation Method of Economic Growth Quality of Tourism-Driven Real Estate Based on AHP

Factors Influencing the Green Bond Market Expansion: Evidence from a Multi-Dimensional Analysis

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