Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/15835
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dc.contributor.authorBeyrouthy, Camilleen_UK
dc.contributor.authorBurke, Edmunden_UK
dc.contributor.authorMcCollum, Barryen_UK
dc.contributor.authorMcMullan, Paulen_UK
dc.contributor.authorParkes, Andrew Jen_UK
dc.date.accessioned2018-02-14T23:36:07Z-
dc.date.available2018-02-14T23:36:07Zen_UK
dc.date.issued2010-08en_UK
dc.identifier.urihttp://hdl.handle.net/1893/15835-
dc.description.abstractUniversities planning the provision of space for their teaching requirements need to do so in a fashion that reduces capital and maintenance costs whilst still providing a high-quality level of service. Space plans should aim to provide sufficient capacity without incurring excessive costs due to over-capacity. A simple measure used to estimate over-provision is utilisation. Essentially, the utilisation is the fraction of seats that are used in practice, or the ratio of demand to supply. However, studies usually find that utilisation is low, often only 20-40%, and this is suggestive of significant over-capacity. Our previous work has provided methods to improve such space planning. They identify a critical level of utilisation as the highest level that can be achieved whilst still reliably satisfying the demand for places to allocate teaching events. In this paper, we extend this body of work to incorporate the notions of event-types and space-types. Teaching events have multiple ‘event-types', such as lecture, tutorial, workshop, etc., and there are generally corresponding space-types. Matching the type of an event to a room of a corresponding space-type is generally desirable. However, realistically, allocation happens in a mixed space-type environment where teaching events of a given type are allocated to rooms of another space-type; e.g., tutorials will borrow lecture theatres or workshop rooms. We propose a model and methodology to quantify the effects of space-type mixing and establish methods to search for better space-type profiles; where the term "space-type profile" refers to the relative numbers of each type of space. We give evidence that these methods have the potential to improve utilisation levels. Hence, the contribution of this paper is twofold. Firstly, we present informative studies of the effects of space-type mixing on utilisation, and critical utilisations. Secondly, we present straightforward though novel methods to determine better space-type profiles, and give an example in which the resulting profiles are indeed significantly improved.en_UK
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.relationBeyrouthy C, Burke E, McCollum B, McMullan P & Parkes AJ (2010) University space planning and space-type profiles. Journal of Scheduling, 13 (4), pp. 363-374. https://doi.org/10.1007/s10951-010-0178-9en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectSpace planningen_UK
dc.subjectEducational timetablingen_UK
dc.titleUniversity space planning and space-type profilesen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate3000-01-01en_UK
dc.rights.embargoreason[University space planning and space-type profiles.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1007/s10951-010-0178-9en_UK
dc.citation.jtitleJournal of Schedulingen_UK
dc.citation.issn1099-1425en_UK
dc.citation.issn1094-6136en_UK
dc.citation.volume13en_UK
dc.citation.issue4en_UK
dc.citation.spage363en_UK
dc.citation.epage374en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emaile.k.burke@stir.ac.uken_UK
dc.contributor.affiliationUniversity of Nottinghamen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.contributor.affiliationQueen's University Belfasten_UK
dc.contributor.affiliationQueen's University Belfasten_UK
dc.contributor.affiliationUniversity of Nottinghamen_UK
dc.identifier.isiWOS:000280572700005en_UK
dc.identifier.scopusid2-s2.0-77956262122en_UK
dc.identifier.wtid693687en_UK
dcterms.dateAccepted2010-08-31en_UK
dc.date.filedepositdate2013-07-10en_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorBeyrouthy, Camille|en_UK
local.rioxx.authorBurke, Edmund|en_UK
local.rioxx.authorMcCollum, Barry|en_UK
local.rioxx.authorMcMullan, Paul|en_UK
local.rioxx.authorParkes, Andrew J|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate3000-01-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameUniversity space planning and space-type profiles.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1094-6136en_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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