Hybrid Fuzzy Approach for Bus Type Selection: IETT Case Study

Büşra Buran*, Mehmet Erçek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sustainability has been a hot topic in recent years in the literature. It focuses not only on environmental issues but also on economic and social topics. From the public transportation side, it contributes sustainable future taking into account bus type selection with a holistic perspective. In this study, the bus type selection problem for public transportation is modeled in a real case study. The hybrid fuzzy AHP method is applied to the proposed problem based on the SERVQUAL approach. Using Spherical Fuzzy Set, comparison matrices are constructed by both perception and expectation views. Also, gap analysis is conducted to discover differences between expectations and perceptions. Results show that when economic factors are the most important criterion for expected views, operational issues, business, and strategy come first for perceived views. For bus type selection, the diesel bus is chosen by customers with the perceived view. But from the expected perspectives, customers prefer e-bus regarding the proposed criteria. Regarding findings, there is a gap between perceived and expected views. At this point, this study will be a guide for decision-makers to discover the gap regarding customer needs.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
EditorsCengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages735-743
Number of pages9
ISBN (Print)9783031397769
DOIs
Publication statusPublished - 2023
EventIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey
Duration: 22 Aug 202324 Aug 2023

Publication series

NameLecture Notes in Networks and Systems
Volume759 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Country/TerritoryTurkey
CityIstanbul
Period22/08/2324/08/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Fuzzy AHP
  • Gap analysis
  • Public transportation
  • SERVQUAL approach

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