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The optimization of the energy portfolio for a small, open, landlocked economy with rather limited fossil resources is a complex task because it must find a long-range, sustainable balance between the various goals of society under the constant pressure of different interest groups. The opinions of independent, informed experts could be an essential input in the decision-making process. The goal of this research was to determine the relative importance of the values and goals potentially accompanying projects, based on the utilization of bioenergy. The current research is based on a wide-ranging survey of 65 non-partisan experts, applying the Pareto analytic hierarchy process to ensure the unbiased prioritization of project segments. The results of the survey put a spotlight on the importance of the economic role of bioenergy projects. Contrary to previous expectations and considerations, the social functions of these projects have hitherto been given relatively little importance. The results highlight the importance of bioenergy in increasing the income-generating capacity of agricultural producers by optimal utilization of natural resources for agricultural production. This can be achieved without considerable deterioration of the natural environment. Modern agricultural production is characterized by high levels of mechanization and automatization. Under these conditions, the social role of bioenergy projects (job creation) is rather limited.
Judit Oláh; József Popp; Szabolcs Duleba; Anna Kiss; Zoltán Lakner. Positioning Bio-Based Energy Systems in a Hypercomplex Decision Space—A Case Study. Energies 2021, 14, 4366 .
AMA StyleJudit Oláh, József Popp, Szabolcs Duleba, Anna Kiss, Zoltán Lakner. Positioning Bio-Based Energy Systems in a Hypercomplex Decision Space—A Case Study. Energies. 2021; 14 (14):4366.
Chicago/Turabian StyleJudit Oláh; József Popp; Szabolcs Duleba; Anna Kiss; Zoltán Lakner. 2021. "Positioning Bio-Based Energy Systems in a Hypercomplex Decision Space—A Case Study." Energies 14, no. 14: 4366.
The COVID-19 pandemic has affected public transportation worldwide, and its implications need to be evaluated and study deeply on all public transportation aspects. Therefore, an analysis has been created to examine the effects of the pandemic on public transportation service quality decisions to have a better vision of the different stakeholders’ needs to keep the system functioning in a profitable way. Stakeholder participation in complex, multi-criteria decision-making often produces very different results in prioritizing the decision attributes. Rank correlation techniques generally measure the degree of agreement or non-agreement among the evaluator groups. However, the multi-criteria methodology can determine not only ordinal but also cardinal priorities. Consequently, except for the attributes’ positions, the weight values are also significant in the final decision. This paper aims to apply a more sophisticated measure of group agreement than rank correlation. First, the Fuzzy-hierarchical analytical process (FAHP) has been used to find out the aggregated weights, then the Kendall correlation values are computed to reveal stakeholder opinions. Finally, the agreement measure approach has been tested in a real-world case study: the public transport development decision of Amman, Jordan. The analysis shows that by applying the Kendall technique, Kendall could gain a more profound insight into the priority characteristics of different evaluator groups.
Ahmad Alkharabsheh; Szabolcs Duleba. Public Transportation Service Quality Evaluation during the COVID-19 Pandemic in Amman City Using Integrated Approach Fuzzy AHP-Kendall Model. Vehicles 2021, 3, 330 -340.
AMA StyleAhmad Alkharabsheh, Szabolcs Duleba. Public Transportation Service Quality Evaluation during the COVID-19 Pandemic in Amman City Using Integrated Approach Fuzzy AHP-Kendall Model. Vehicles. 2021; 3 (3):330-340.
Chicago/Turabian StyleAhmad Alkharabsheh; Szabolcs Duleba. 2021. "Public Transportation Service Quality Evaluation during the COVID-19 Pandemic in Amman City Using Integrated Approach Fuzzy AHP-Kendall Model." Vehicles 3, no. 3: 330-340.
Involving three conflicting stakeholder groups in a decision making process and reaching their consensus is a common problem, especially in the case of public service development decisions, in which the public, the operator and the government participate as group decision makers. This paper presents a methodological novelty which is based on vector distance minimization and so is capable of creating an acceptable consensus among three evaluator groups with different interests and motivations, while it is also avoiding the pitfall of overgeneralization. The proof for the convexity of the problem and the solving algorithm are also demonstrated along with the calculation of the error of approximation. Moreover, we show a numerical example to prove that our proposed method is less sensitive to extremity compared to the most common mean-based aggregation techniques. Investigating the development of urban public transport systems, the paper presents three case studies using real preference data gained by an Analytic Hierarchy Process (AHP) survey involving three real conflicting stakeholder groups. Further, we conduct a comparison analysis based on concordance measure among the proposed consensus creation technique and other two well-proven consensus models: the zero-level GAHP and the Interval-AHP. The results indicate that the new method may be applied to several group AHP problems not only in transportation engineering but also in other fields of theoretical and real-world decision making.
Szabolcs Duleba; István Blahota. Determining optimal group weights for consensus creation in AHP for three conflicting stakeholder groups by vector distance minimization. Journal of the Operational Research Society 2021, 1 -16.
AMA StyleSzabolcs Duleba, István Blahota. Determining optimal group weights for consensus creation in AHP for three conflicting stakeholder groups by vector distance minimization. Journal of the Operational Research Society. 2021; ():1-16.
Chicago/Turabian StyleSzabolcs Duleba; István Blahota. 2021. "Determining optimal group weights for consensus creation in AHP for three conflicting stakeholder groups by vector distance minimization." Journal of the Operational Research Society , no. : 1-16.
Szabolcs Duleba; Fatma Kutlu Gündoğdu; Sarbast Moslem. Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development. Informatica 2021, 1 -26.
AMA StyleSzabolcs Duleba, Fatma Kutlu Gündoğdu, Sarbast Moslem. Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development. Informatica. 2021; ():1-26.
Chicago/Turabian StyleSzabolcs Duleba; Fatma Kutlu Gündoğdu; Sarbast Moslem. 2021. "Interval-Valued Spherical Fuzzy Analytic Hierarchy Process Method to Evaluate Public Transportation Development." Informatica , no. : 1-26.
Improving the local urban transport system’s quality is often seen as one of the critical points for the government and the local operator. An amelioration of the system can improve users’ satisfaction and attract new users while simultaneously decreasing traffic congestion and pollution. Efficient methodologies are required to achieve sustainable development regarding complex issues associated with traffic congestion and pollution. In this study, we propose using the analytic hierarchy process (AHP) grey values to overcome the limitations of the uncertainty in the classical AHP approach. The presented grey-AHP model assumes an efficient contrivance to facilitate the public transport system’s supply quality evaluation, especially when respondents are non-experts. Finally, we estimate and rank the public transport system’s supply quality criteria by adopting the proposed model for a real-world case study (Amman city, Jordan). The study’s outcome shows the effectiveness and the applicability of the developed approach for enhancing the quality of the public transport system.
Ahmad Alkharabsheh; Sarbast Moslem; Laila Oubahman; Szabolcs Duleba. An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems. Sustainability 2021, 13, 2740 .
AMA StyleAhmad Alkharabsheh, Sarbast Moslem, Laila Oubahman, Szabolcs Duleba. An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems. Sustainability. 2021; 13 (5):2740.
Chicago/Turabian StyleAhmad Alkharabsheh; Sarbast Moslem; Laila Oubahman; Szabolcs Duleba. 2021. "An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems." Sustainability 13, no. 5: 2740.
Group decision-making on a public service problem is often biased by untrustworthy responses of the participants, which affects negatively the outcome of the procedure. To eliminate this problem, the state-of-the-art methodologies apply fuzzy sets, generally within the frames of hybrid methodologies. The objective of the recent paper is to introduce a new hybrid model based on picture fuzzy sets and linear assignment and its first real-world application on a public transport development problem. The advantage of the proposed methodology is that it simultaneously considers the indeterminacy level of respondent evaluations on decision alternatives, and applies linear assignment to avoid subjectivity in responses. With the aim of testing the reliability of the new methodology, the results are compared with the generally applied intuitionistic fuzzy Technique of Order Preference Similarity to the Ideal Solution model. The comparative results have shown that the final outcomes of the proposed method are very similar to the well-proven reference technique, thus the hybrid picture fuzzy AHP-linear assignment model has been validated.
Fatma Kutlu Gündoğdu; Szabolcs Duleba; Sarbast Moslem; Serhat Aydın. Evaluating public transport service quality using picture fuzzy analytic hierarchy process and linear assignment model. Applied Soft Computing 2020, 100, 106920 .
AMA StyleFatma Kutlu Gündoğdu, Szabolcs Duleba, Sarbast Moslem, Serhat Aydın. Evaluating public transport service quality using picture fuzzy analytic hierarchy process and linear assignment model. Applied Soft Computing. 2020; 100 ():106920.
Chicago/Turabian StyleFatma Kutlu Gündoğdu; Szabolcs Duleba; Sarbast Moslem; Serhat Aydın. 2020. "Evaluating public transport service quality using picture fuzzy analytic hierarchy process and linear assignment model." Applied Soft Computing 100, no. : 106920.
Szabolcs Duleba. Introduction and comparative analysis of the multi-level parsimonious AHP methodology in a public transport development decision problem. Journal of the Operational Research Society 2020, 1 -14.
AMA StyleSzabolcs Duleba. Introduction and comparative analysis of the multi-level parsimonious AHP methodology in a public transport development decision problem. Journal of the Operational Research Society. 2020; ():1-14.
Chicago/Turabian StyleSzabolcs Duleba. 2020. "Introduction and comparative analysis of the multi-level parsimonious AHP methodology in a public transport development decision problem." Journal of the Operational Research Society , no. : 1-14.
All countries have suffered from the COVID-19 crisis; the pandemic has adversely impacted all sectors. In this study, we examine the transport sector with a specific focus on the problem of commuting mode choice and propose a new decision-making approach for the alternative modes after synthesizing expert opinions. As a methodology, a customized model of the recently developed best–worst method (BWM) is used to evaluate mobility choice alternatives. The survey reflects citizens’ opinions toward mobility choices in two Italian cities, Palermo and Catania, before and during the pandemic. BWM is a useful tool for examining mobility choice in big cities. The adopted model is easy to apply and capable of providing effective solutions for sustainable mode choice. The urban context is analyzed considering the importance of transport choices, evaluating the variation of resilience to the changing opinions of users.
Sarbast Moslem; Tiziana Campisi; Agnieszka Szmelter-Jarosz; Szabolcs Duleba; Kh Nahiduzzaman; Giovanni Tesoriere. Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy. Sustainability 2020, 12, 6824 .
AMA StyleSarbast Moslem, Tiziana Campisi, Agnieszka Szmelter-Jarosz, Szabolcs Duleba, Kh Nahiduzzaman, Giovanni Tesoriere. Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy. Sustainability. 2020; 12 (17):6824.
Chicago/Turabian StyleSarbast Moslem; Tiziana Campisi; Agnieszka Szmelter-Jarosz; Szabolcs Duleba; Kh Nahiduzzaman; Giovanni Tesoriere. 2020. "Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy." Sustainability 12, no. 17: 6824.
A park and ride (P&R) system is a set of facilities where private vehicle users can transfer to public transport to complete their journey. The main advantage of the system is reducing the congestions problem in the central business district (CBD). Thus, the notion of symmetry is particularly important in multi-criteria decision aid (MCDA) because they are basic characteristics of the binary relationships used in modelling the preferences of decision-makers. The focal point of this study is evaluating the P&R facility system location problem from the experts’ point of view. For this aim, an integrated multicriteria decision-making (MCDM) methodology is proposed to evaluate the location of the facilities of the P&R system. The questionnaire survey was designed and estimated by 10 transport experts in the related field. The famous analytic hierarchy process (AHP) was adopted in a fuzzy environment, where the fuzzy sets have an efficient ability to manage the vague concepts in a specific way; moreover, it can mitigate the evaluator reasoning during decision-making. The hierarchical structure of the problem was established to evaluate a real-life problem in Cuenca city, Ecuador. The outcomes highlighted the “accessibility of public transport” as the most significant issue in the P&R facility location problem. The obtained results provide more flexible facilities than the pure AHP method.
Jairo Ortega; János Tóth; Sarbast Moslem; Tamás Péter; Szabolcs Duleba. An Integrated Approach of Analytic Hierarchy Process and Triangular Fuzzy Sets for Analyzing the Park-and-Ride Facility Location Problem. Symmetry 2020, 12, 1225 .
AMA StyleJairo Ortega, János Tóth, Sarbast Moslem, Tamás Péter, Szabolcs Duleba. An Integrated Approach of Analytic Hierarchy Process and Triangular Fuzzy Sets for Analyzing the Park-and-Ride Facility Location Problem. Symmetry. 2020; 12 (8):1225.
Chicago/Turabian StyleJairo Ortega; János Tóth; Sarbast Moslem; Tamás Péter; Szabolcs Duleba. 2020. "An Integrated Approach of Analytic Hierarchy Process and Triangular Fuzzy Sets for Analyzing the Park-and-Ride Facility Location Problem." Symmetry 12, no. 8: 1225.
Big cities suffer from serious complex problems such as air pollution, congestion, and traffic accidents. Developing public transport quality in such cities is considered an efficient remedy to obviate these critical issues. This paper aims to determine the significant supply quality criteria of public transportation. As a methodology, a hybrid Analytic Hierarchy Process (AHP) combined with the Best Worst Method (BWM) is applied. The proposed model is basically a hierarchy structure with at least a 5 × 5 pairwise comparison matrix or larger. A real-world complex problem was examined to validate the created model (public transport quality improvement). An urban bus transport system in the Jordanian capital city, Amman, was used as a case study; three stakeholder groups (passengers, nonpassengers, and representatives of the local government) participated in the evaluation process. The conventional Analytic Hierarchy Process (AHP) leads to weak consistency in the case of existing 5 × 5 pairwise comparison matrices or larger, particularly in estimating complex problems. To avoid this critical issue in AHP, we used Best Worst Method (BWM) comparisons, which make the evaluation process easier for decision makers; moreover, it saves survey time and provides more consistency when compared to AHP pairwise comparisons. The model adopted highlighted the most significant service quality criteria that influence urban bus transport systems. Furthermore, the sensitivity analysis conducted detected the stability of the criteria ranking in the three levels of the hierarchical structure. Since the proposed AHP–BWM model (which is the sole example of this sort of combination) is independent from the decision attributes, it can be applied to arbitrary hierarchically structured decision problems with a relatively large number of pairwise comparisons.
Sarbast Moslem; Ahmad Alkharabsheh; Karzan Ismael; Szabolcs Duleba. An Integrated Decision Support Model for Evaluating Public Transport Quality. Applied Sciences 2020, 10, 4158 .
AMA StyleSarbast Moslem, Ahmad Alkharabsheh, Karzan Ismael, Szabolcs Duleba. An Integrated Decision Support Model for Evaluating Public Transport Quality. Applied Sciences. 2020; 10 (12):4158.
Chicago/Turabian StyleSarbast Moslem; Ahmad Alkharabsheh; Karzan Ismael; Szabolcs Duleba. 2020. "An Integrated Decision Support Model for Evaluating Public Transport Quality." Applied Sciences 10, no. 12: 4158.
Driver behavior has been considered as the most critical and uncertain criteria in the study of traffic safety issues. Driver behavior identification and categorization by using the Fuzzy Analytic Hierarchy Process (FAHP) can overcome the uncertainty of driver behavior by capturing the ambiguity of driver thinking style. The main goal of this paper is to examine the significant driver behavior criteria that influence traffic safety for different traffic cultures such as Hungary, Turkey, Pakistan and China. The study utilized the FAHP framework to compare and quantify the driver behavior criteria designed on a three-level hierarchical structure. The FAHP procedure computed the weight factors and ranked the significant driver behavior criteria based on pairwise comparisons (PCs) of driver’s responses on the Driver Behavior Questionnaire (DBQ). The study results observed “violations” as the most significant driver behavior criteria for level 1 by all nominated regions except Hungary. While for level 2, “aggressive violations” is observed as the most significant driver behavior criteria by all regions except Turkey. Moreover, for level 3, Hungary and Turkey drivers evaluated the “drive with alcohol use” as the most significant driver behavior criteria. While Pakistan and China drivers evaluated the “fail to yield pedestrian” as the most significant driver behavior criteria. Finally, Kendall’s agreement test was performed to measure the agreement degree between observed groups for each level in a hierarchical structure. The methodology applied can be easily transferable to other study areas and our results in this study can be helpful for the drivers of each region to focus on highlighted significant driver behavior criteria to reduce fatal and seriously injured traffic accidents.
Danish Farooq; Sarbast Moslem; Rana Faisal Tufail; Omid Ghorbanzadeh; Szabolcs Duleba; Ahsen Maqsoom; Thomas Blaschke. Analyzing the Importance of Driver Behavior Criteria Related to Road Safety for Different Driving Cultures. International Journal of Environmental Research and Public Health 2020, 17, 1893 .
AMA StyleDanish Farooq, Sarbast Moslem, Rana Faisal Tufail, Omid Ghorbanzadeh, Szabolcs Duleba, Ahsen Maqsoom, Thomas Blaschke. Analyzing the Importance of Driver Behavior Criteria Related to Road Safety for Different Driving Cultures. International Journal of Environmental Research and Public Health. 2020; 17 (6):1893.
Chicago/Turabian StyleDanish Farooq; Sarbast Moslem; Rana Faisal Tufail; Omid Ghorbanzadeh; Szabolcs Duleba; Ahsen Maqsoom; Thomas Blaschke. 2020. "Analyzing the Importance of Driver Behavior Criteria Related to Road Safety for Different Driving Cultures." International Journal of Environmental Research and Public Health 17, no. 6: 1893.
The demand for a service includes generally two major components; quality elements and the reasonable and affordable price. Public transport can be considered as a special service, there is no direct market competition for the provider, but the use of private transport modes substitutes the usage of public vehicles. The dominating competitor, the usage of private cars, causes higher CO2 emission and has a serious impact on the environment. Thus, it is important to analyze from market and sustainability point of view which are the preferences of the public for the improvement of the urban transport system. This paper aims to conduct this analysis by including quality criteria and transport fare criteria related to the current service of a city and by setting up and testing a generally applicable model for decision support. Since the acquisition of public preference was the primary objective, and the problem can be considered as decision making, the Analytic Hierarchy Process was selected as methodology. There are previous research results of applying this method on public transport, however, not in an integrated model, in which quality and cost considerations are pairwise compared. Thus, the conventional Analytic Hierarchy Process (AHP) technique was used and the well-proven requisites of consistency and sensitivity check were analyzed. The new model was tested in a case study: surveying the public transport demand in the capital of Jordan, Amman.
Ahmad Alkharabsheh; Sarbast Moslem; Szabolcs Duleba. Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman. Applied Sciences 2019, 9, 4759 .
AMA StyleAhmad Alkharabsheh, Sarbast Moslem, Szabolcs Duleba. Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman. Applied Sciences. 2019; 9 (22):4759.
Chicago/Turabian StyleAhmad Alkharabsheh; Sarbast Moslem; Szabolcs Duleba. 2019. "Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman." Applied Sciences 9, no. 22: 4759.
Increased rail competitiveness has been the objective of many countries around the world, including member states of the EU. Although railway market liberalization has always been accompanied by high expectations of increased efficiency and competitiveness, the overall impact of such decisions can be considered controversial. This paper aims to contribute to the scientific debate by conducting a factor analysis of some East-Central European countries from the aspect of rail freight competitiveness. Since many highly correlated factors influence competitiveness, its mathematical–statistical representation and analysis is difficult due to the high number of dimensions of the factor space. Moreover, competitiveness cannot be measured directly only as a latent variable which is a feature of Principal Component Analysis (PCA). The introduced PCA, model by way of reducing the number of dimensions, can highlight the relations among the attributes and determine the most crucial issues capable of increasing rail competitiveness in the given countries and also of clustering those national railway markets. Recommendations for structural changes in national rail freight markets of the region are also supplied. Our results show that international rail competitiveness depends rather on market efficiency than on market liberalization due to the fact that the Global Competitiveness Index and Export/Import attributes did not significantly correlate with market concentration. As for the larger domestic rail freight sectors, small freight forwarders—spawned by liberalization—are shown to play a significant role in increasing competitiveness.
Szabolcs Duleba; Bálint Farkas. Principal Component Analysis of the Potential for Increased Rail Competitiveness in East-Central Europe. Sustainability 2019, 11, 4181 .
AMA StyleSzabolcs Duleba, Bálint Farkas. Principal Component Analysis of the Potential for Increased Rail Competitiveness in East-Central Europe. Sustainability. 2019; 11 (15):4181.
Chicago/Turabian StyleSzabolcs Duleba; Bálint Farkas. 2019. "Principal Component Analysis of the Potential for Increased Rail Competitiveness in East-Central Europe." Sustainability 11, no. 15: 4181.
In any public service development decision, it is essential to reach the stakeholders’ agreement to gain a sustainable result, which is accepted by all involved groups. In case this criterion is violated, the impact of the development will be less than expected due to the resistance of one group or another. Concerning public urban transport decisions, the lack of consensus might cause lower utilisation of public vehicles, thus more severe environmental damage, traffic problems and negative economic impacts. This paper aims to introduce a decision support procedure (applying the current MCDM techniques; Fuzzy and Interval AHP) which is capable of analysing and creating consensus among different stakeholder participants in a transport development problem. The combined application of FAHP and IAHP ensures that the consensus creation is not only based on an automated computation process (just as in IAHP) but also on the consideration of specific group interests. Thus, the decision makers have the liberty to express their preferences in urban planning, along with the consideration of numerical results. The procedure has been tested in a real public transport improvement decision as a follow-up project, in an emerging city, Mersin, Turkey. Results show that by the application of the proposed techniques, decision-makers can be more aware of the conflicts of interests among the involved groups, and they can pay more attention to possible violations.
Sarbast Moslem; Omid Ghorbanzadeh; Thomas Blaschke; Szabolcs Duleba. Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP. Sustainability 2019, 11, 3271 .
AMA StyleSarbast Moslem, Omid Ghorbanzadeh, Thomas Blaschke, Szabolcs Duleba. Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP. Sustainability. 2019; 11 (12):3271.
Chicago/Turabian StyleSarbast Moslem; Omid Ghorbanzadeh; Thomas Blaschke; Szabolcs Duleba. 2019. "Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP." Sustainability 11, no. 12: 3271.
Driver behavior has been considered as the most influential factor in reducing fatal road accidents and the resulting injuries. Thus, it is important to focus on the significance of driver behavior criteria to solve road safety issues for a sustainable traffic system. The recent study aims to enumerate the most significant driver behavior factors which have a critical impact on road safety. The well-proven Analytic Hierarchy Process (AHP) has been applied for 20 examined driver behavior factors in a three-level hierarchical structure. Linguistic judgment data have been collected from three nominated evaluator groups in order to detect the difference of responses on perceived road safety issues. The comparison scales had been averaged prior to computing the weights of driver behavior factors. The AHP ranking results have revealed that most of the drivers are most concerned about the “Errors”, followed by the “Lapses” for the first level. The highest influential sub-criteria for the second level is the “Aggressive violations” and for the third level, the “Drive with alcohol use”. Kendall’s rank correlation has also been applied to detect the agreement degree among the evaluator groups for each level in the hierarchical structure. The estimated results indicate that road management authorities should focus on high-rank significant driver behavior criteria to solve road safety issues for sustainable traffic safety.
Danish Farooq; Sarbast Moslem; Szabolcs Duleba. Evaluation of Driver Behavior Criteria for Evolution of Sustainable Traffic Safety. Sustainability 2019, 11, 3142 .
AMA StyleDanish Farooq, Sarbast Moslem, Szabolcs Duleba. Evaluation of Driver Behavior Criteria for Evolution of Sustainable Traffic Safety. Sustainability. 2019; 11 (11):3142.
Chicago/Turabian StyleDanish Farooq; Sarbast Moslem; Szabolcs Duleba. 2019. "Evaluation of Driver Behavior Criteria for Evolution of Sustainable Traffic Safety." Sustainability 11, no. 11: 3142.
Sustainable development decisions generally require citizen participation in the decision process to avoid public resistance and objections in the long term. Because of the involvement of non-experts, the uncertainty of the decision is increased, and this must be considered in the decision-making process. This paper aims to introduce a sustainable urban transport development problem in which citizens are involved to allow them to express their preferences for improving certain elements of the public bus system. To mitigate the uncertainty of the non-expert evaluations, a fuzzy-analytic hierarchy process (AHP) model has been created and applied. Since the objective of the research is to provide a suitable framework for transport development tenders, only the criteria weights have to be determined; thus, an alternative level has not been applied. The model has been tested on the urban bus transport system of a large Turkish city: Mersin. Based on the application, citizen preference weights could be associated with certain elements of the supply quality; thus, government development source allocation decisions could be supported. The fuzzy-AHP model ensures that the final development implications will meet public demand for bus system improvement in the city.
Sarbast Moslem; Szabolcs Duleba. Sustainable Urban Transport Development by Applying a Fuzzy-AHP Model: A Case Study from Mersin, Turkey. Urban Science 2019, 3, 55 .
AMA StyleSarbast Moslem, Szabolcs Duleba. Sustainable Urban Transport Development by Applying a Fuzzy-AHP Model: A Case Study from Mersin, Turkey. Urban Science. 2019; 3 (2):55.
Chicago/Turabian StyleSarbast Moslem; Szabolcs Duleba. 2019. "Sustainable Urban Transport Development by Applying a Fuzzy-AHP Model: A Case Study from Mersin, Turkey." Urban Science 3, no. 2: 55.
Recently, there has been a transparent need to involve public in transport development decisions not only in the EU but also in other countries worldwide. Public involvement in decision-making, however, suffers from two critical issues: lack of expertise and lack of enthusiasm. This paper aims to overcome the first problem: how to amend passenger preferences related to public transport development with expert knowledge on transport systems. For this purpose, a new research methodology has been created which combines the well proven Analytic Hierarchy Process (AHP) and Interpretive Structural Modelling (ISM) methods in a novel way. ISM is used to reveal the non-hierarchical connections of the transport system elements and by this, AHP results are modified with the consideration of element interactions. The first stage of the three-stage-survey has been conducted in Yurihonjo (Japan), the second and third in an international workshop with the participation of experts. Results show that the original AHP scores – gained from passenger evaluations – are significantly modified by adding expert knowledge on factor interactions, thus new preference order is gained related to the importance of the development of public transport system elements. The introduced procedure can be applied for other public transport system improvement decision-making situations in which passenger involvement is required.
Szabolcs Duleba. AN AHP-ISM APPROACH FOR CONSIDERING PUBLIC PREFERENCES IN A PUBLIC TRANSPORT DEVELOPMENT DECISION. Transport 2019, 34, 662 -671.
AMA StyleSzabolcs Duleba. AN AHP-ISM APPROACH FOR CONSIDERING PUBLIC PREFERENCES IN A PUBLIC TRANSPORT DEVELOPMENT DECISION. Transport. 2019; 34 (6):662-671.
Chicago/Turabian StyleSzabolcs Duleba. 2019. "AN AHP-ISM APPROACH FOR CONSIDERING PUBLIC PREFERENCES IN A PUBLIC TRANSPORT DEVELOPMENT DECISION." Transport 34, no. 6: 662-671.
It is relatively well known that Walsh–Fourier analysis is capable of approximating functions by decomposing them into simple values: 1 and − 1. This method and its valuable characteristics however, are seldom applied in time series forecasting. Moreover, despite the promising applicability of the technique, there is gap in the scientific literature for a comprehensive and detailed introduction and application. Inspired by the results Stoffer (J Time Ser Anal 6:261–267, 1985, J Time Ser Anal 8:449–167, 1987, J Time Ser Anal 11:57–73, 1990, J Am Stat Assoc 86(414):461–479, 1991), Stoffer et al. (J Am Stat Assoc 83:954–963, 1988) and Basu et al. (Electr Power Energy Syst 13(4):193–200, 1991) in the current paper, we aim to describe the theory of Walsh–Fourier analysis, to introduce the so-called Walsh transformation based “row-wise” forecasting process—using the characteristics of the Walsh-matrix—for its application and to compare numerically in R-programming environment (RStudio) using the MComp test data set and the state-of-the-art methods (generic function forecast()) the following two approaches:(1) the 1st of them may be referred to as “direct” since we apply function forecast() to time-series directly in “conventional” mode, (2) and the 2nd one may be called “Walsh-based row-wise” since we apply the same function forecast() to transformed time-series row-wisely. As can be seen—based on our intentions—a significant advantage of the proposed forecasting process is that when forecasting more than one-step ahead it does not use previously forecasted values and, hence, does not accumulate inaccuracy, thus the forecasted results can be more proper compared to other mainstream techniques. Moreover, as show our numeric results the longer the horizon of forecasting, the more attractive relative accuracy achieved.
E. Bajalinov; Sz. Duleba. Seasonal time series forecasting by the Walsh-transformation based technique. Central European Journal of Operations Research 2019, 28, 983 -1001.
AMA StyleE. Bajalinov, Sz. Duleba. Seasonal time series forecasting by the Walsh-transformation based technique. Central European Journal of Operations Research. 2019; 28 (3):983-1001.
Chicago/Turabian StyleE. Bajalinov; Sz. Duleba. 2019. "Seasonal time series forecasting by the Walsh-transformation based technique." Central European Journal of Operations Research 28, no. 3: 983-1001.
Sustainable urban transport requires smart and environmentally-friendly technical solutions. It also needs to meet the demands of different user groups, including current and potential future users, in order to avoid opposition of the citizens and to support sustainable development decisions. While these requirements are well-known, conducting full surveys of user needs and preferences are tedious and costly, and the interests of different user groups may be contradictory. We therefore developed a methodology based on the prevalent Analytic Hierarchy Process (AHP), which is capable of dealing with the inconsistencies and uncertainties of users’ responses by applying an Interval Analytic Hierarchy Process (IAHP) through comparing the results of passengers to reference stakeholder groups. For a case study in Mersin, a coastal city in southern Turkey with 1.7 Million inhabitants, three groups were surveyed with questionnaires: 40 users of the public transport system, 40 non-users, and 17 experts. Based on interval pairwise comparison matrices, consisting of whole judgments of all groups, the IAHP methodology could attain a consensual preference ranking for a future public transportation system between the three groups. A sensitivity analysis revealed that the factor ranking was very stable.
Omid Ghorbanzadeh; Sarbast Moslem; Thomas Blaschke; Szabolcs Duleba. Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model. Sustainability 2018, 11, 9 .
AMA StyleOmid Ghorbanzadeh, Sarbast Moslem, Thomas Blaschke, Szabolcs Duleba. Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model. Sustainability. 2018; 11 (1):9.
Chicago/Turabian StyleOmid Ghorbanzadeh; Sarbast Moslem; Thomas Blaschke; Szabolcs Duleba. 2018. "Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model." Sustainability 11, no. 1: 9.
Public transport development decisions are generally made by local government representatives or managers of the local transport company through a top-down procedure. However, if the implications do not meet the demand of the public, the improvement cannot be considered as sustainable and in a long range, correction is necessary. This paper aims to introduce a new model which is capable of supporting public transport development decision making by examining the preferences of different stakeholder groups (passengers, potential passengers, and local government) and creating an acceptable coordination for an ultimate, sustainable decision. In the model, Analytic Hierarchy Process is applied, combined with Kendall rank correlation and an extra level of stakeholder significance in the decision. A case study is also presented on the situation of a Turkish city: Mersin. The results show, that by the application of the new model, a more integrated and thus more sustainable solution can be created for the public transport problems of the city, and by this, probably more citizens can be attracted to use public transport modes which might result in decreased CO2 emissions.
Szabolcs Duleba; Sarbast Moslem. Sustainable Urban Transport Development with Stakeholder Participation, an AHP-Kendall Model: A Case Study for Mersin. Sustainability 2018, 10, 3647 .
AMA StyleSzabolcs Duleba, Sarbast Moslem. Sustainable Urban Transport Development with Stakeholder Participation, an AHP-Kendall Model: A Case Study for Mersin. Sustainability. 2018; 10 (10):3647.
Chicago/Turabian StyleSzabolcs Duleba; Sarbast Moslem. 2018. "Sustainable Urban Transport Development with Stakeholder Participation, an AHP-Kendall Model: A Case Study for Mersin." Sustainability 10, no. 10: 3647.