eprintid: 10038321
rev_number: 21
eprint_status: archive
userid: 608
dir: disk0/10/03/83/21
datestamp: 2018-03-26 17:58:02
lastmod: 2022-01-04 23:27:05
status_changed: 2018-03-26 17:58:02
type: proceedings_section
metadata_visibility: show
creators_name: Krystallis, I
creators_name: Demian, P
creators_name: Price, A
title: Supporting future-proof healthcare design by narrowing the design space of solutions using building information modelling
ispublished: pub
divisions: UCL
divisions: B04
divisions: C04
keywords: Decision theory, Healthcare, Information extraction, Information technology, Standardisation
note: This is the published version of record. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: BIM has been characterized by the UK Government’s chief construction adviser as unstoppable regarding its rise in construction and he further positioned BIM as mandatory for public projects in the UK by 2016. Moreover, large scale public projects such as healthcare facilities must be seen as a process, being able to meet the constantly changing demands imposed on healthcare infrastructure. Facilities should be designed as change-ready rather than to meet fixed requirements, therefore, the designer should accommodate as large section of design space potential solutions instead of mistakenly narrowing the response of the project to only one solution. Scenario based design was employed as research and design method for the proposed software modules which would extend the Activity Database (ADB). Two modules are proposed that will enable designers to improve their spatial design decisions for both new and refurbishment projects through partially automated knowledge extraction. Additionally, the integration of flexibility and standardisation concepts has been addressed. The proposed design approach is intended to provide rich knowledge representation at the early stages of the design process in less time and effort.
date: 2013
date_type: published
publisher: Association of Researchers in Construction Management (ARCOM)
official_url: http://www.arcom.ac.uk/-docs/proceedings/ar2013-0003-0012_Krystallis_Demian_Price.pdf
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1511274
isbn_13: 9780955239076
lyricists_name: Krystallis, Ilias
lyricists_id: IKRYS05
actors_name: Krystallis, Ilias
actors_id: IKRYS05
actors_role: owner
full_text_status: public
series: Annual ARCOM Conference
volume: 29
event_title: 29th Annual ARCOM Conference, 2-4 September 2013, Reading, UK
event_location: Reading
event_dates: 02 September 2013 - 04 September 2013
institution: Proceedings of the 29th Annual ARCOM Conference
book_title: Proceedings of the 29th Annual ARCOM Conference 2013
editors_name: Smith, SD
editors_name: Ahiaga-Dagbui, DD
citation:        Krystallis, I;    Demian, P;    Price, A;      (2013)    Supporting future-proof healthcare design by narrowing the design space of solutions using building information modelling.                     In: Smith, SD and Ahiaga-Dagbui, DD, (eds.) Proceedings of the 29th Annual ARCOM Conference 2013.    Association of Researchers in Construction Management (ARCOM)       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10038321/1/Krystallis_Supporting_future-proof_healthcare.pdf