2020
DOI: 10.3390/su12124996
|View full text |Cite
|
Sign up to set email alerts
|

Passenger Satisfaction Evaluation of Public Transportation Using Pythagorean Fuzzy MULTIMOORA Method under Large Group Environment

Abstract: Passenger satisfaction is an important factor that affects the choice of travel modes for municipalities, especially in big cities. This evaluation is an important task for managers when they are considering improving the competitiveness of the public transportation system. However, passenger satisfaction evaluation is difficult as the information provided by passengers is often vague, imprecise, and uncertain. This paper aims to propose a new method, using Pythagorean fuzzy sets and multi-objective optimizati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
20
0
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 30 publications
(22 citation statements)
references
References 56 publications
0
20
0
2
Order By: Relevance
“…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%
See 1 more Smart Citation
“…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%
“…As far as the traveler preference cannot be determined unequivocally (as it depends on the big number of non-deterministic parameters with the values assessed subjectively by different persons), the fuzzy logic mathematical apparatus is widely used to define the preferences of passengers and their satisfaction with the provided transport services [17][18][19][20]. The authors of the paper [17] have developed an approach combining characteristics of the analytic hierarchy process, entropy weight method and the fuzzy comprehensive evaluation method to improve the accuracy of passenger satisfaction evaluation for public transport.…”
Section: Introductionmentioning
confidence: 99%
“…Kumar and Anbanandam [48] applied the grey decision making trial and evaluation laboratory (DEMATEL) method to quantify relationships of prominent inhibitors to the implementation of railroad freight transport. Li et al [49] presented a hybrid Pythagorean MULTIMOORA method to order rail transit lines according to the passenger satisfaction level. Majumdar et al [50] exploited the TOPSIS method to prioritize key factors affecting metro rail infrastructure based on commuter perception.…”
Section: Introductionmentioning
confidence: 99%