A fuzzy Full Consistency Method-Dombi-Bonferroni model for prioritizing transportation demand management measures

Pamucar D., Deveci M., Canitez F., Bozanic D.

APPLIED SOFT COMPUTING, vol.87, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 87
  • Publication Date: 2020
  • Doi Number: 10.1016/j.asoc.2019.105952
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC
  • Istanbul Technical University Affiliated: Yes


The selection and prioritization of appropriate Transportation Demand Management (TDM) measures is a common problem faced by transport planners and decision makers. The problem involves many uncertainties due to changing economic conditions, uncertainty in project success, changes in mobility and population characteristics etc. In this study, the multi-criteria decision making (MCDM) based fuzzy Full Consistency Method-Dombi-Bonferroni (fuzzy FUCOM-D'Bonferroni) model is proposed for a case study in Istanbul's urban mobility system. Istanbul's historical peninsula is considered to be a pilot area for the implementation of TDM projects by the local government. The proposed model is compared with other well-known four MCDM methods in order to show its validity and consistency. The results show that public transport capacity improvements is the best alternative among the other TDM measures. (C) 2019 Elsevier B.V. All rights reserved.