Evaluation of Sustainable Mobility Measures Using Fuzzy COPRAS Method

Parezanović, Tanja; Bojković, Zoran; Petrović, Marijana; Tarle, Snezana Pejcic

doi:10.7595/management.fon.2016.0006

Cited by 11 publications

(21 citation statements)

References 25 publications

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“…Many MCDMs can be applied in analyzing the implementation of urban mobility measures in cities. Parezanovic et al [40] used the COPRAS method for assessing mobility measures in line with the selected assessment criteria. Hickman et al [41] applied multicriteria assessment in exploring the possibilities of developing transport infrastructure in keeping with different scenarios.…”

Section: The Results Of Applying Multicriteria Decision Making Methodsmentioning

confidence: 99%

Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods

2020

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An increasing number of recent discussions have focused on the need for designing transport systems in consonance with the importance of the environment, thus promoting investment in the growth of non-motorized transport infrastructure. Under such conditions, the demand for implementing the most effective infrastructure measures has a profoundly positive impact, and requires the least possible financial and human resources. The development of the concept of sustainable mobility puts emphasis on the integrated planning of transport systems, and pays major attention to the expansion of non-motorized and public transport, and different sharing systems, as well as to effective traffic management involving intelligent transport systems. The development of transport infrastructure requires massive investment, and hence the proper use of mobility measures is one of the most important objectives for the rational planning of sustainable transport systems. To achieve this established goal, this article examines a compiled set of mobility measures and identifies the significance of the preferred tools, which involve sustainable mobility experts. The paper also applies multicriteria decision making methods in assessing urban transport systems and their potential in terms of sustainable mobility. Multicriteria decision making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and for comparing them between cities. The proposed universal evaluation model is applied to similar types of cities. The article explores the adaptability of the model by assessing big Lithuanian cities.

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Section: The Results Of Applying Multicriteria Decision Making Methodsmentioning

confidence: 99%

Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods

2020

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“…Table 1 summarizes the available fuzzy MCDM approaches in the transport area. The fuzzy multi-criteria methods can be summarized as follows: pair-wise comparisons [1][2][3][4][5][6][7][8][9]; distance based [10][11][12][13][14][15][16][17][18]; utility based [19][20][21][22][23][24][25][26]; outranking [27,28]; integration of two or more methods [29][30][31][32][33][34][35][36].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The main problems solved in the transport planning area are concerned with railway transport [4,17,26,28,31,35]], transport planning [2,3,9,12,13,24]], railway infrastructure [6,16,23], public transport [1,7,11,30,33], logistics [5,10,20,21,25,27,32,33,36]]. .…”

Section: Literature Reviewmentioning

confidence: 99%

“…- Figure 3 represents the weights of the criteria. The values are obtained by using Formula (24). It can be concluded that the minimization of the frequency of train stops (C2), the minimization of the direct operational costs (C8) and the maximization of the train's capacity (C8) have a great influence on the choice of a suitable alternative.…”

Section: A1 A2 A3 A4 A5 A6 A7 A8 A9mentioning

confidence: 99%

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A Novel Fuzzy SIMUS Multicriteria Decision-Making Method. An Application in Railway Passenger Transport Planning

Stoilova

Munier

2021

Symmetry

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To increase the level of adequacy in multi-criteria decision-making in the case of uncertainty, it is essential to reduce the subjectivism and to increase the reality of obtained results. The study aims to propose a novel fuzzy multi-criteria method based on the fuzzy linear programming method and sequential interactive model for urban systems method (SIMUS), named fuzzy SIMUS. This paper is something completely different because it links the power of fuzzy with the advantage of the SIMUS method. Indeed, not using weights, it works with optimal values. Here, this procedure is presented for the first time. The methodology consists of three stages. The first stage includes forming the parameters of a multi-criteria model in the case of uncertainty. The initial matrix has three values: lower, medium, and upper. In the second stage, the fuzzy SIMUS model for each objective is formed based on fuzzy linear programming method. The third stage deals with the ranking of the alternatives. The methodology was experimented for planning railway intercity passenger transport in Bulgarian’s railway network. Nine alternative transport plans and eight criteria were studied. It was found that the objectives which influence ranking the most are the frequency of train stops (15%), direct operational costs (15%), train’s capacity (14.7%), and reliability (14.3%). A transport plan for railway passenger transport is proposed. A verification of the results was performed. It was found that the stability of the choice presented a suitable alternative.

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“…This innovative means of transportation has been mainly developed using technology to connect users and providers [ 7 ]. To promote sustainable solutions to mobility issues, some authors classified sustainable mobility measures on the basis of previous experiences [ 8 ], while other researchers studied travel patterns and psychological aspects associated with car-sharing [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Carpooling Systems for Commuting among Teachers: An Expert Panel Analysis of Their Barriers and Incentives

Rey-Merchán

López-Arquillos

Rosa

2022

IJERPH

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Sustainable mobility is a current challenge in our society. Research shows that carpooling systems are potential solutions that could mitigate environmental pollution and urban congestion and provide cost savings for their users. Despite their potential benefits, the levels of carpooling practices among some occupations could be improved. Teachers are suitable for carpooling experiences due to their specific working conditions (e.g., timetables, destinations changes, path matches); however, there is no research solely focused on teachers. Thus, the current research aimed to analyze the barriers and incentives for teachers using carpooling systems for commuting. A panel member was selected following the staticized group technique. Panelists were surveyed to evaluate the advantages and disadvantages of carpooling. Results showed that fuel savings were considered by the expert panel as the most important incentive for carpooling. For short distances, carpooling was not considered the best commuting option. Additionally, the increase in travel time and loss of personal independence were identified as relevant barriers. Based on the opinions of experts, it can be concluded that carpooling barriers outweigh the incentives for the commuting of teachers. To promote carpooling practices, institutional mobility plans with advantages for carpoolers could improve the teachers’ perceptions about carpooling. Future carpooling strategies should consider these results to promote incentives and address the identified barriers.

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Evaluation of Sustainable Mobility Measures Using Fuzzy COPRAS Method

Cited by 11 publications

References 25 publications

Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods

Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods

A Novel Fuzzy SIMUS Multicriteria Decision-Making Method. An Application in Railway Passenger Transport Planning

Carpooling Systems for Commuting among Teachers: An Expert Panel Analysis of Their Barriers and Incentives

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