Sustainable Development Solutions of Public Transportation: An Integrated IMF SWARA and Fuzzy Bonferroni Operator

Developing the quality of public transport has an efficient impact to attract more users to switch modes from private vehicles to public transport, which has a tremendous capability in reducing the traffic congestion, noise and CO₂ emissions the urban areas. For this reason, policy makers and scholars aim to enhance the supply quality of public transport system, where involving citizens along with experts and decision makers in the decision process will reflect the existed and future demand to provide more sustainable solutions which provide efficient solutions to achieve positive impacts on the local environment. This study intends to determine the preference of decision-makers and operators for the importance of the supply quality elements of urban bus transport services in Mersin city, Turkey. For this aim, decision makers and experts are involved in the evaluation process to provide feedback on public transport quality with the view of increasing the satisfaction and thus usage, with positive impacts on increased public transport modal share and dropped CO₂ emission transport. In total the authors have formed list of three main criteria: transport quality, service quality and traceability which contains in total 21 sub-criteria. For determining all criteria weights they have formed in total 112 models using IMF SWARA (Stepwise Weight Assessment Ratio Analysis) method and for final determining criteria weights Fuzzy Bonferroni operator (FBO) has been used. Applying such model the authors have ensured stability in final values of criteria and have obtained optimal results based on preferences decision makers. The adopted results show that the most significant attribute in the system is the “Traceability” with highest weight score (0.398), followed by the “Transport quality” with weight score (0.334), however, the service quality rank as the last significant attribute with weight score (0.264). The originality of this work is conducting IMF SWARA method for improving the service quality of the public transport system.

• Record URL:
  https://doi.org/10.1016/j.scs.2023.104530
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2210670723001415
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
• Supplemental Notes:
  • © 2023 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Moslem, Sarbast
  • 0000-0003-4587-7482
  • Stević, Željko
  • 0000-0003-4452-5768
  • Tanackov, Ilija
  • Pilla, Francesco
  • 0000-0002-1535-1239
• Publication Date: 2023-6

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 104530
• Serial:
  • Sustainable Cities and Society
  • Volume: 93
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2210-6707
  • Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2

Subject/Index Terms

• TRT Terms: Air quality management; Carbon dioxide; Public transit; Quality of service; Sustainable transportation; Travel demand
• Geographic Terms: Mersin (Turkey)
• Subject Areas: Environment; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01883148
• Record Type: Publication
• Files: TRIS
• Created Date: May 23 2023 10:12AM