PMID- 35582204
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220922
IS  - 2213-6258 (Electronic)
IS  - 2213-624X (Print)
IS  - 2213-624X (Linking)
VI  - 10
IP  - 3
DP  - 2022 Sep
TI  - Measuring the customer satisfaction of public transportation in Tehran during the 
      COVID-19 pandemic using MCDM techniques.
PG  - 1520-1530
LID - 10.1016/j.cstp.2022.05.009 [doi]
AB  - The expeditiously spreading of coronavirus disease 2019 (COVID-19) has affected 
      every facet of human lives, including transportation. Due to some characteristics 
      of COVID-19, like high infectivity, people prefer to use their private cars more 
      than before. On the one hand, this circumstance caused public transportation to 
      face an unprecedented decrease in demand and, consequently, revenue. On the other 
      hand, it could intensify traffic congestion during rush hours. This study 
      provides a computational framework to assess public transportation's customer 
      satisfaction in Tehran during the COVID-19 pandemic. To this end, a combined 
      multi-criteria decision-making (MCDM) approach based on the best-worst method 
      (BWM) and fuzzy technique for order performance by similarity to ideal solution 
      (fuzzy TOPSIS) is introduced, which benefits from all the advantages of BWM and 
      fuzzy TOPSIS procedure and consequently provides consistent and reliable 
      outcomes. Outcomes of the implemented model provide precious insight for 
      improving service quality during and after the pandemic; for example, it reveals 
      the performance of each transport mode about each criterion which can help 
      policymakers and transit agencies to allocate resources more intelligently. Final 
      results indicate that during the pandemic, taxis had a better performance 
      compared to other transportation modes.
CI  - (c) 2022 Published by Elsevier Ltd on behalf of World Conference on Transport 
      Research Society.
FAU - Shabani, Amir
AU  - Shabani A
AD  - Department of Industrial Engineering, Faculty of Engineering, University of Qom, 
      Qom, Iran.
FAU - Shabani, Alireza
AU  - Shabani A
AD  - Department of Industrial Engineering, Faculty of Engineering, College of Farabi, 
      University of Tehran, Iran.
FAU - Ahmadinejad, Bahareh
AU  - Ahmadinejad B
AD  - Department of Management, Islamic Azad University (IAU), Qazvin Branch, Qazvin, 
      Iran.
FAU - Salmasnia, Ali
AU  - Salmasnia A
AD  - Department of Industrial Engineering, Faculty of Engineering, University of Qom, 
      Qom, Iran.
LA  - eng
PT  - Journal Article
DEP - 20220513
PL  - Netherlands
TA  - Case Stud Transp Policy
JT  - Case studies on transport policy
JID - 101766458
PMC - PMC9101997
OTO - NOTNLM
OT  - BWM
OT  - COVID-19 pandemic
OT  - Fuzzy TOPSIS
OT  - MCDM
OT  - Public transportation system
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2022/05/19 06:00
MHDA- 2022/05/19 06:01
PMCR- 2022/05/13
CRDT- 2022/05/18 02:06
PHST- 2021/10/18 00:00 [received]
PHST- 2022/04/02 00:00 [revised]
PHST- 2022/05/10 00:00 [accepted]
PHST- 2022/05/19 06:00 [pubmed]
PHST- 2022/05/19 06:01 [medline]
PHST- 2022/05/18 02:06 [entrez]
PHST- 2022/05/13 00:00 [pmc-release]
AID - S2213-624X(22)00105-5 [pii]
AID - 10.1016/j.cstp.2022.05.009 [doi]
PST - ppublish
SO  - Case Stud Transp Policy. 2022 Sep;10(3):1520-1530. doi: 
      10.1016/j.cstp.2022.05.009. Epub 2022 May 13.