Selection Criteria and Assessment of the Impact of Traffic Accessibility on the Development of Suburbs

Stanković, Milan; Gladović, Pavle; Popović, Vladimir; Lukovac, Vesko

doi:10.3390/su10061977

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…Urban types of new towns were considered in the study, and the AHP method was applied to evaluate competitiveness of each APTM and illustrate the role of the development of transportation policy. Stanković et al (2018) defined the criteria with a great effect on traffic accessibility in suburban areas. The aim of their study was development of an operational model for traffic accessibility in these areas.…”

Section: Single Approachesmentioning

confidence: 99%

McDm Approaches for Evaluating Urban and Public Transportation Systems: A Short Review of Recent Studies

et al. 2022

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Studies related to transportation planning and development have been in the center of activities of many researchers in the past decades. Road congestions issues, economic problems, health problems and environmental problems are some examples of complex problems that can be caused by urban and public transportation in big cities. Evaluating urban and public transportation systems could help to reach effective solutions to overcome these issues. This article presents a short bibliographic review of some recent studies on Multi-Criteria Decision-Making (MCDM) approaches for evaluating urban and public transportation systems. To this aim, Scopus was chosen as the database for making a search on journal articles. Scopus is trusted by major institutions in the world, and all journals covered in this database are inspected for sufficiently high quality each year. The search was made on the journal articles from 2017 to 2022 (July). The analyses presented in this study show that the Analytic Hierarchy Process (AHP) method is the most used method, which has been applied to different studies in the field of urban and public transportation systems based on MCDM approaches. According to the analysis of the number of articles, Turkey is ranked 1st among different countries, and “Budapest University of Technology and Economics” (Hungary) is 1st in the ranking of institutions. Moreover, most of the articles have been published within the “social sciences” subject area. The recent trend in different studies on urban and public transportation systems shows the importance of using MCDM approaches in this field. Moreover, noticeable employment of fuzzy sets in several studies is a point that can shows the significant role of uncertainty in dealing with this type of problems.

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Section: Single Approachesmentioning

confidence: 99%

McDm Approaches for Evaluating Urban and Public Transportation Systems: A Short Review of Recent Studies

et al. 2022

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“…The procedure consisted of two phases, as shown in Figure 2. First, we set up a list of criteria together with a mathematical notation, as shown in Table 1 [27]. In this reference, an example of the selection of criteria for determining the impacts on traffic accessibility and suburban development is presented.…”

Section: Establishing the Optimization Modelmentioning

confidence: 99%

Evaluation System for the Implementation of Public Passenger Transport as a Public Service Obligation

Blaž

Zajc²,

Zupan

et al. 2019

Sustainability

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The research in this article relates to an evaluation system for the implementation of lines in a public passenger transport system as a public service obligation. The purpose of this research is to present the methodology for the performance evaluation of a public passenger transport system that serves the public transport authority as a tool for making further decisions. The procedures first refer to the experimental determination of the criteria and then perform the first evaluation in the form of the value of the objective function. This is followed by multi-stage linear regression and optimization procedures that give the relation between the dependent variable ( Y ) and the independent variables ( X , ) that is, the criteria. Optimization is carried out in the coefficients ( β ), which are excluded from the optimization procedures in the case of the calculated statistical degree of insignificance. This research also shows procedures for changing the mathematical form of the criteria records and determining the impact on the final result of optimizations.

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“…Gan et al [17] used the triangular fuzzy number (TFN), AHP, and DEA approaches for analyzed economic feasibility. Rouyendegh et al [18] combined a hybrid DEA-Analytic Network Process (ANP) for selecting the process within Iran Amirkabir University.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry

et al. 2018

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Today, business organizations are facing increasing pressure from a variety of sources to operate using sustainable processes. Thus, most companies need to focus on their supply chains to enhance sustainability to meet customer demands and comply with environmental legislation. To achieve these goals, companies must focus on criteria that include CO2 (carbon footprint) and toxic emissions, energy use and efficiency, wastage generations, and worker health and safety. As in other industries, the food processing industry requires large inputs of resources, which results in several negative environmental effects; thus, decision-makers have to evaluate qualitative and quantitative factors. This work identifies the best supplier for edible oil production in the small and medium enterprise (SME) food processing industry in Vietnam. This study also processes a hybrid multicriteria decision-making (MCDM) model using a fuzzy analytical hierarchy process (FAHP) and green data envelopment analysis (GDEA) model to identify the weight of all criteria of a supplier’s selection process based on opinions from company procurement experts. Subsequently, GDEA is applied to rank all potential supplier lists. The primary objective of this work is to present a novel approach which integrates FAHP and DEA for supplier selection and also consider the green issue in edible oil production in uncertain environments. The aim of this research is also to provide a useful guideline for supplier selection based on qualitative and quantitative factors to improve the efficiency of supplier selection in the food industry and other industries. The results reveal that Decision-Making Unit 1 (DMU 1), DMU 3, DMU 7, and DMU 9 are identified as extremely efficient for five DEA models, which are the optimal suppliers for edible oil production. The contributions of this research include a proposed MCDM model using a hybrid FAHP and GDEA model for supplier selection in the SME food processing industry under a fuzzy environment conditions in Vietnam. This research also is part of an evolution of a new hybrid model that is flexible and practical for decision-makers. In addition, the research also provides a useful guideline in supplier selection in the food processing industry and a guideline for supplier selection in other industries.

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Selection Criteria and Assessment of the Impact of Traffic Accessibility on the Development of Suburbs

Cited by 12 publications

References 9 publications

McDm Approaches for Evaluating Urban and Public Transportation Systems: A Short Review of Recent Studies

McDm Approaches for Evaluating Urban and Public Transportation Systems: A Short Review of Recent Studies

Evaluation System for the Implementation of Public Passenger Transport as a Public Service Obligation

Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry

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