Skip to main navigation Skip to search Skip to main content

Risk governance of urban rail systems using fuzzy AHP: The case of Istanbul

  • Irem Ucal Sari*
  • , Hulya Behret
  • , Cengz Kahraman
  • *Corresponding author for this work
  • Erciyes University

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

The urban rail system in Istanbul carries in total more than 700.000 passengers per a day on different types of lines which require well organized risk governance. This paper evaluates the urban rail systems in Istanbul under different risk factors using Fuzzy Analytic Hierarchy Process (FAHP) to uncover the critical risk criteria of these systems and to make a multi-criteria evaluation of existing rail systems for the assignment of the scarce resources. Linguistic variables are used in the pairwise comparisons of criteria and alternatives. The risk factors considered are regional criticality, line characteristics, line safety and station structure. The evaluation results imply that the most risky critical urban rail system in Istanbul is the subway line from Sishane to Darussafaka.

Original languageEnglish
Pages (from-to)67-79
Number of pages13
JournalInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Volume20
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Jun 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Fuzzy AHP
  • Linguistic variable
  • Rail system
  • Risk governance

Fingerprint

Dive into the research topics of 'Risk governance of urban rail systems using fuzzy AHP: The case of Istanbul'. Together they form a unique fingerprint.

Cite this