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Selection of possible scenarios for improving the quality of public transport services through the use of hybrid fuzzy-MCDM models

Moradi Shohreh, Sierpiński Grzegorz, Masoumi Houshmand

Zeszyty Naukowe. Transport / Politechnika Śląska

2023

z. 119

189--198

A unified calculating approach is needed for public passenger transportation. All public transport companies and other stakeholders would have additional opportunities to create a transport offer if the unified methodology was made available to them and if calculations and calculation criteria were harmonized. Thus, the main goal – improving citizen mobility – would be accomplished. For this reason, in the study, we suggested the hybrid fuzzy methods for evaluating and improving the quality of public transport service. Unreliable responses of survey participants often distort group decision-making regarding the problem of public services, negatively affecting the end of the calculation procedure. Fuzzy multicriteria decision-making approach has been used. The suggested technique has the advantage of taking into account the degree of fuzzification of respondents' judgments about the choice scenario, while also using two MCDM models to eliminate bias in the responses.

Correlations of urban sprawl with transport patterns and socioeconomics of university students in Cracow, Poland

Mehriar Melika, Masoumi Houshmand, Nosal-Hoy Katarzyna

Zeszyty Naukowe. Transport / Politechnika Śląska

2020

z. 108

159--181

Urban sprawl is considered as a western urban development pattern, which is common in different cities around the world. Although, a large number of studies have focused on urban sprawl, modelling urban sprawl has been less emphasised, especially in various geographical contexts. This study aims to investigate urban sprawl and its determinants in a post-socialist country and model urban sprawl based on disaggregated data. In addition, the correlations of urban sprawl with travel patterns were examined, along with the socioeconomic characteristics of university students in Cracow, Poland by applying the Weighted Least Square (WLS) regression model. The WLS regression model was fitted based on the data from 1,288 online questionnaires targeting university students. Furthermore, urban sprawl around the home and the university for each student who indicated the nearest intersection to their home and university were separately estimated by employing the Shannon entropy. Based on the findings, urban sprawl around homes was correlated with 14 transport patterns and socioeconomic features such as gender, age, driving license, financial dependency status, gross monthly income, number of commute trips, mode of transportation for commuting, number of trips for shopping or entertainment, daily shopping area, mode choice for shopping and entertainment trips inside and outside the neighbourhoods, frequency of public transport use, the attractiveness of shops inside the neighbourhoods, and the length of time living in the current home. Additionally, urban sprawl around the university was significantly correlated with age, car ownership, number of commute trips, and a sense of belonging to neighbourhoods, entertainment place, and residential location choice. Finally, a positive correlation was reported between urban sprawl with higher income, elderly student, financial dependent students, and car dependency trips, while urban sprawl was negatively related to the use of public transit.