Improving wayfinding in hospitals for people with diverse needs and abilities: An exploratory approach based on multi-criteria decision making

Morag I., SÖNMEZ V., Van Puyvelde A., Pintelon L.

Applied Ergonomics, cilt.114, 2024 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 114
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1016/j.apergo.2023.104149
  • Dergi Adı: Applied Ergonomics
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, PASCAL, CINAHL, Compendex, EMBASE, INSPEC, Psycinfo
  • Anahtar Kelimeler: Architectural features that affect spatial orientation and wayfinding behaviors, Inclusive wayfinding systems, Minimizing disorientation and confusion, Multi-criteria decision-making, People with diverse needs and abilities, Wayfinding in hospitals
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Hospital wayfinding systems that are based solely on signage do not provide adequate solutions for wayfinding needs, especially for users with impairments. Moreover, the interaction between user characteristics and the inner space of the building also determines wayfinding efficiency. The aims of this study, therefore, were to identify architectural features that affect spatial orientation and wayfinding behaviors; demonstrate the implementation of a multi-criteria decision-making (MCDM) approach for improving wayfinding in a diverse range of users; and produce a set of quantitative values (i.e., weights) for each selected architectural feature, based on the individual's preferences. Doing so could enable the formulating of practical design guidelines for hospital buildings, tailored to the needs and abilities of the users, to minimize disorientation and confusion – as demonstrated in this paper through a case study. The MCDM approach was chosen as it is based on observations whereby wayfinding resembles a continuous decision-making process, throughout which, users continuously select those architectural features that they perceive as having the greatest wayfinding value.