An application of fuzzy factor analysis for sustainable bridge maintenance and retrofit projects

Mohammadreza Yadollahi, Rouzbeh Nazari, Nicholas Joseph Spanos, Nicholas Minner

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Sustainability in bridge maintenance and retrofit projects is an essential factor to achieve sustainable infrastructure development. Many studies have discussed issues relating to sustainable design and construction of transportation infrastructure; however, no major study has been conducted to identify the most significant factors involved in sustainable bridge rehabilitation. The aim of this study is to address the lack of Critical Green Factors (CGFs) for bridge rehabilitation projects. An extensive review was carried out to explore and identify the factors that are appropriate for rehabilitation projects. The research data were collected from a questionnaire survey and discussions with bridge engineering experts. Because of the imprecision and vagueness in subjective responses, the fuzziness in data analysis was taken into account by applying fuzzy set theory. The identified factors were then classified applying factor analysis to reduce the green factors into smaller meaningful groups. Three cut-off values, λ = 0.85, 0.90, and 0.95, were tested which resulted in the identification of 120, 111 and 77 factors, respectively. Accordingly, 77 critical factors were selected and classified together as a cluster of similar items into 14 groups. The findings of the study are expressed as groups of weighted CGFs that can be applied in green bridges rating systems.

Original languageEnglish (US)
Pages (from-to)225-236
Number of pages12
JournalInternational Journal of Management Science and Engineering Management
Volume12
Issue number4
DOIs
StatePublished - Oct 2 2017

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Mechanical Engineering
  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management

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