Developing a social capability model of inclusive public facilities: A case study of play space in Hong Kong

Yi Lin Wong, Kin Wai Michael Siu, Mei Seung Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Through a case study of Hong Kong, the paper presents how the Inclusive Design Cube (IDC) can be referenced to develop and evaluate inclusive play space in practice. While social activities take place frequently in play space, the paper advocates that it is essential to include social aspect in public design. Consequently, based on the IDC, the paper develops a model of Socially Inclusive Design Cube (SIDC) to investigate and identify the relationship among social, motion, cognitive and sensory capabilities in the context of play space. Through the development of the SIDC model, the paper raises a question about inclusive design approach. It is hoped that the further development and the application of the SIDC model will contribute to the discipline of inclusive design with social concerns.
Original languageEnglish
Title of host publicationAdvances in Physical Ergonomics and Human Factors - Proceedings of the AHFE 2016 International Conference on Physical Ergonomics and Human Factors
PublisherSpringer Verlag
Pages561-570
Number of pages10
ISBN (Print)9783319416939
DOIs
Publication statusPublished - 1 Jan 2016
EventInternational Conference on Physical Ergonomics and Human Factors, AHFE 2016 - Walt Disney World, United States
Duration: 27 Jul 201631 Jul 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume489
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Physical Ergonomics and Human Factors, AHFE 2016
Country/TerritoryUnited States
CityWalt Disney World
Period27/07/1631/07/16

Keywords

  • Children
  • Hong Kong
  • Inclusive design cube (IDC)
  • Play space
  • Public design
  • Socially inclusive design cube (SIDC)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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