A two-phased fuzzy multicriteria selection among public transportation investments for policy-making and risk governance

Hsan Kaya*, Basar Öztaysi, Cengiz Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

Public transportation can be viewed as a key determinant and consequence of the social and spatial formation and development of contemporary cities and regions. Transportation policy generally combines four categories of instruments, i.e., investment, pricing, regulation and subsidy, to generate viable alternatives. Capital investment in public transportation supports the purchase of equipment and facilities including rolling stock, tracks, control equipment, and the construction of terminals, stations, parking lots, maintenance facilities and power generating facilities. Risk governance for public transportation investments looks at how risk-related decision-making unfolds when a range of actors is involved, requiring co-ordination and possibly reconciliation between a profusion of roles, perspectives, goals and activities. In this paper, a two-phased multicriteria methodology is proposed to select the best investment alternative for public transportation with respect to the predetermined criteria. In the first phase, a selection among transportation types is made, and in the second phase, a selection among transportation modes of the selected transportation type is made. A case study for Istanbul is given in the application section.

Original languageEnglish
Pages (from-to)31-48
Number of pages18
JournalInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Volume20
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Jun 2012

Keywords

  • AHP
  • axiomatic design
  • fuzzy sets
  • multicriteria
  • policy making
  • Transportation investment

Fingerprint

Dive into the research topics of 'A two-phased fuzzy multicriteria selection among public transportation investments for policy-making and risk governance'. Together they form a unique fingerprint.

Cite this