User Satisfaction Survey on Public Transport by a New PAHP Based Model

Abstract

There is an obvious trade-off between information obtained from passenger surveys and cost and time investment. This paper offers a new approach for this problem and its detailed step-by-step procedure description. Parsimonious Analytic Hierarchy Process (PAHP) is a recently created methodology that combines the simplicity of direct evaluations with the consistency and reliability of the Analytic Hierarchy Process (AHP). In the paper, the first large sample survey of passenger satisfaction by a new, PAHP-based model and procedure is presented as a case study. Moreover, a comparison with an AHP survey on the same public transport system and the same pattern are demonstrated. Since the comparative analysis produced a strong correlation between AHP and PAHP outcomes, it can be stated that the new procedure is less time consuming and costly than the AHP, while possessing the same benefits, and thus, it is more trustworthy than satisfaction measured by direct evaluations. Consequently, our proposed model can be applied both in theoretical and practical cases. Theoretically, it solves the problem of avoiding the use of large pairwise comparison matrices, and practically, it is a useful support to public satisfaction surveys, especially in the transportation sector.

Checking consistency for Group-PAHP: a case study of tourism facilities in COVID-19 pandemic

“…If we take into consideration the subset , in which individual preferences are expressed, we introduce in the PAHP method, the aggregation of judgments with the geometric mean (see e.g. Duleba and Moslem 2021 ).In this sense we define the aggregated matrices for each criterion : …”

A Novel Parsimonious Best Worst Method for Evaluating Travel Mode Choice

“…Keeping in mind avoiding big number of references, which can lead to several PC evolutions. Abastante et al (2019) selected 4 references for 13 elements, while Duleba (2020) and Duleba and Moslem (2021) selected 3 references for 11 elements. Till now, the optimal number of reference elements is exposed to debates and it needs further research for clarification.…”

“…The Analytic Hierarchy Process (AHP) is the most applied approach for scaling performances taking into consideration factors and alternatives and their significance (Saaty, 1977). For scrutinizing the main advancement of AHP approach, see Vaidya and Kumar, (2006); Ddong et al, 2010;Abastante et al, (2018); Duleba and Moslem, (2019); Gündoğdu and Kahraman, (2020); Duleba and Moslem (2021). However, the evaluators spend enormous time and effort for evaluating even small decision problems.…”

Level of Satisfaction among University Students Using Various Transport Modes

“…As the descriptive statistics analysis provides an insight to the collected data [21,22], the in-depth analysis examines the correlation of predefined factors, specifically those used by the algorithm for the calculation of the level of satisfaction for the above-mentioned transport modes, with the majority of these predefined factors having been used in other case studies as well [23][24][25]. Although there are many different methodologies on calculating public transport users' level of satisfaction (SERVQUAL-Service Quality model [26], European Customer Satisfaction Index-ECSI model [27], multi-criteria analysis [28], last kilometer bus satisfaction evaluation model [29], fuzzy clustering approach [30], Pythagorean fuzzy MULTIMOORA method [31], and Parsimonious Analytic Hierarch Process [32]), in our case it was decided to use an algorithm, as mentioned in the above, developed in the framework of a survey conducted in cities located in Member States of the European Union as well as other countries (Iceland, Norway, Switzerland and Turkey). Additionally, this was to avoid future potential problems regarding the definition of service quality by different types of travelers that can occur by the application of regression models [33].…”