Skip to main navigation Skip to search Skip to main content

A structured evaluation model for determining high-capacity transport terminal locations in post-disaster contexts

  • Ertugrul Ayyildiz*
  • , Betul Sasmazturk
  • *Corresponding author for this work
  • Karadeniz Technical University
  • Hasan Kalyoncu University

Research output: Contribution to journalArticlepeer-review

Abstract

The increasing frequency and severity of natural disasters underscore the critical need for resilient and adaptable high-capacity transport terminal (HCTT) infrastructure. This study proposes a novel hybrid Multi-Criteria Decision-Making (MCDM) approach to support strategic HCTT site selection in T & uuml;rkiye, incorporating post-disaster considerations. The methodology integrates Spherical Fuzzy Step-wise Weight Assessment Ratio Analysis (SF-SWARA) to determine the weights of 24 evaluation criteria and employs the Spherical Fuzzy Weighted Sum Product (SF-WISP) to rank seven alternative metropolitan sites. Criteria were identified through expert consultation and literature review, covering environmental, economic, social, accessibility, infrastructure and safety dimensions. The study addresses a notable research gap by introducing the SF-WISP and applying it within a spherical fuzzy context. The results demonstrated strong consistency across scenarios, reinforcing the model's stability and practical applicability. This research offers a comprehensive and adaptable framework for post-disaster infrastructure planning, providing valuable insights for policymakers, urban planners and emergency response strategists.
Original languageEnglish
Number of pages23
JournalSustainable and Resilient Infrastructure
Early online dateJul 2026
DOIs
Publication statusPublished - 18 Jul 2026

Keywords

  • High-capacity transport terminals
  • Post-disaster resilience
  • Spherical fuzzy logic
  • Swara
  • Wisp

Fingerprint

Dive into the research topics of 'A structured evaluation model for determining high-capacity transport terminal locations in post-disaster contexts'. Together they form a unique fingerprint.

Cite this