Fuzzy PROMETHEE model for public transport mode choice analysis

Abstract

The importance of public transportation service quality research is significantly increasing in recent years, it is the key to understanding and analyzing passengers’ preferences. Different approaches are utilized to explore users’ preferences however, dominantly these apply merely subjective scoring of the attributes and alternatives of the mobility. In this paper, we design a specific model for public transportation mode choice which is capable of integrating subjective scoring with scoring by objective measures such as distance or time. Owing to this purpose, we combine the outranking Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) as a method to evaluate passengers’ preferences for tangible and intangible criteria with the fuzzy theory, and the Graphical Analysis for Interactive Aid (GAIA) plane to visualize the interactions between attributes as well as to test the robustness of the results via sensitivity analysis. The contribution of this paper is the constructed integrative method that is less subjective than the well-known models but also keeps the freedom of individual evaluators in expressing their preferences. Moreover, another significant issue of mode choice analysis is the group consideration, which is also refined in the new methodology by taking into account not only the mean of group preferences but also their range. A common characteristic of public surveys, the possible vague responses of the layman pattern is solved with the fuzzy approach to reduce the risk of uncertain scoring. The proposed model acts as a great base for the fuzzy inference system that can facilitate mode choice for passengers within a changing environment. The efficiency of the new methodology is demonstrated through a real-world case study of Budapest city, the obtained results are supporting underground mode service quality and highlighting its impact on citizens’ behavior in favor of public transport.

Comparative analysis of fuzzy multi-criteria decision-making methods for quality of service-based web service selection

“…The FP method have been used recently for transport mode analysis [22], ranking startups [23], and for ensemble feature selection [24]. See the steps in ( 40)-( 49) for the FP application in the present comparative study.…”

Linear Programming-Based Fuzzy Alternative Ranking Order Method Accounting for Two-Step Normalization for Comprehensive Evaluation of Digital Economy Development in Provincial Regions

“…Additionally, Hii et al [49] focus on e-learning postadoption success, introducing a model based on the fuzzy ANP to evaluate information system success. Oubahman and Duleba [50] employ a fuzzy PROMETHEE model to analyze public transport mode choice, offering an innovative approach to addressing the complexity of decision-making in transportation planning. This study contributes to the field by demonstrating the adaptability of fuzzy PROMETHEE models in capturing the nuances of individuals' preferences and uncertainties associated with mode choice.…”

A Comparative Analysis of Homogenous Groups’ Preferences by Using AIP and AIJ Group AHP-PROMETHEE Model

“…Previous research [48] deployed the PROMETHEE method for outsourcing third-party logistics for a case study in China. In urban public transport, PROMETHEE was not massively applied, and to the best of our knowledge, two studies have been conducted to exploit the advantages of this method in urban transport [20,49].…”

“…However, the PROMETHEE method (Preference Ranking Organization METHod for Enrichment Evaluation) is also proving great advantages in outranking alternatives through qualitative and quantitative evaluations besides eliminating scaling effects by using preference functions [17]. In the literature, for multiple decision-makers, the conventional group PROMETHEE decision support system enables one to aggregate different opinions via the aggregation of the individual priorities presented first by the authors [18] and applied in different fields to solve complex problems and outrank alternatives [19,20]. However, the introduced model aggregates individual judgements (AIJ) for both MCDM methods (AHP and PROMETHEE) for a two-level hierarchical criteria structure that was successfully applied in previous studies [21,22].…”