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Review of space norms - Space Management Group

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UK Higher Education <strong>Space</strong> <strong>Management</strong> Project<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong>September 20062006/40


<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong>ContentsPageExecutive summary 3Introduction 6HE <strong>space</strong> <strong>norms</strong>: their role and development 7Use <strong>of</strong> <strong>norms</strong> today 8Outline <strong>of</strong> UGC and PCFC <strong>space</strong> norm methodology 9Estimation <strong>of</strong> <strong>norms</strong> implied by current estate size and student numbers 10Conclusions on feasibility <strong>of</strong> updating <strong>norms</strong> 13Framework for indicating <strong>space</strong> need 16Annex 1: UGC and PCFC <strong>space</strong> norm methodology 19Annex 2: Framework for indicating <strong>space</strong> need: sample spreadsheets 22List <strong>of</strong> abbreviations 26<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 1


Executive summaryPurpose <strong>of</strong> the studyThe UK Higher Education <strong>Space</strong> <strong>Management</strong><strong>Group</strong> commissioned this study to research thescope for providing updated <strong>space</strong> <strong>norms</strong> for thehigher education (HE) sector.Background to <strong>space</strong> <strong>norms</strong><strong>Space</strong> <strong>norms</strong> are usually expressed as an‘allowance’ <strong>of</strong> non-residential <strong>space</strong> per student.The allowance is made up <strong>of</strong> different types <strong>of</strong><strong>space</strong>, such as general purpose and specialistfacilities, and other non-teaching facilities, such as<strong>of</strong>fices. It varies according to academic discipline.Norms used to be published by the UniversityGrants Committee (UGC) and the Polytechnicsand Colleges Funding Council (PCFC). They werebased on observations and assumptions abouthow students in different disciplines were taught,such as how many hours and what type <strong>of</strong>teaching activity was needed, staff:student ratiosand areas per workplace, for example the areaper student in a lecture theatre or a laboratory.They were widely used both by individualinstitutions and by the UK HE Funding Councilsfor a range <strong>of</strong> purposes, including assessments <strong>of</strong>institutions’ capacity to accommodate studentgrowth and to inform the size <strong>of</strong> new buildingprojects. Norms were never intended to be seenas requirements for, or entitlements to, <strong>space</strong>.The UK HE Funding Councils have not publishedany new or updated <strong>space</strong> <strong>norms</strong> for over 15years. <strong>Space</strong> management guidance in the 1990smoved away from a <strong>space</strong> <strong>norms</strong> or standardsapproach to <strong>space</strong> planning and management,towards the view that each higher educationinstitution (HEI) should decide for itself theamount and type <strong>of</strong> <strong>space</strong> that it needed.Despite the length <strong>of</strong> time since <strong>norms</strong> were lastupdated and the policy shift away from them,they continue to be used by many HEIs. Thesurvey <strong>of</strong> <strong>space</strong> management practice carried outin Phase One <strong>of</strong> the <strong>Space</strong> <strong>Management</strong> Project(‘<strong>Review</strong> <strong>of</strong> practice’ 2005/25 atwww.smg.ac.uk/Phase_1_reports) found thatsome 45 per cent <strong>of</strong> respondents used UGC orPCFC <strong>norms</strong> or <strong>space</strong> weightings, <strong>of</strong>ten withmodifications. <strong>Space</strong> <strong>norms</strong> <strong>of</strong>ten provoke strongviews, both from those in favour and from thoseagainst. Feedback from the Phase One surveysuggests that while some HEIs do not wantupdated <strong>norms</strong>, others would welcome them.Estimation <strong>of</strong> updated UGC and PCFC <strong>norms</strong>Since the last update <strong>of</strong> <strong>norms</strong>, there has been adecline in the amount <strong>of</strong> <strong>space</strong> available per fulltimeequivalent (FTE) student. Although the size<strong>of</strong> the HE estate has increased, it has not keptpace with the growth in student numbers. Either<strong>space</strong> is being used more efficiently, or academicactivities are being delivered differently, or both.This study estimates the updated equivalent <strong>of</strong>UGC and PCFC <strong>norms</strong> based on the size <strong>of</strong> theestate and numbers <strong>of</strong> staff and students acrossdifferent disciplines using data from 2003-04.This was done for two reasons:• to provide an updated ‘broad brush’ reestimation<strong>of</strong> UGC and PCFC <strong>norms</strong> forthose HEIs which have continued to findthem useful• to assess the scale <strong>of</strong> the change that hastaken place when measured in terms <strong>of</strong>performance against <strong>norms</strong>: we made acomparison between a reference year(1991-92) and 2003-04.This exercise was broad brush only because <strong>of</strong>some differences in definitions and dataavailability between the two years. We have setout the re-estimated <strong>norms</strong> in this report and ouranalysis found that on average the sector isoperating at 80 per cent <strong>of</strong> the prediction basedon UGC <strong>norms</strong> and at just under 80 per cent <strong>of</strong>the PCFC <strong>norms</strong>.Conclusions on the feasibility <strong>of</strong> updating<strong>norms</strong>In this study we investigated the feasibility <strong>of</strong>updating UGC and PCFC <strong>norms</strong> by examiningthe way in which the <strong>norms</strong> were originallyderived. Both UGC and PCFC <strong>norms</strong> were afunction <strong>of</strong> series <strong>of</strong> coefficients, including:• total hours <strong>of</strong> on-campus contact orlearning hours per week per student<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 3


• breakdown <strong>of</strong> those hours into differenttypes <strong>of</strong> activity, for instance lecture theatrehours, seminar hours and laboratory hours• total hours that <strong>space</strong> is available per weekto be used, for instance 40 hours• predicted frequency and occupancy rates for<strong>space</strong> use, that is planned utilisation• <strong>space</strong> standards per workplace in teaching,learning, research and support <strong>space</strong>s• definition <strong>of</strong> discrete subject groups ordisciplines• staff:student ratios by discipline or subjectgroup• pr<strong>of</strong>essorial:other academic staff ratios bysubject group• academic:support staff ratios by subject group.Across the sector, the coefficients have changedsince the <strong>norms</strong> were devised. We exploredwhether it would be feasible to update them on asector-wide basis, and if there was still sufficientconsistency between HEIs to enable such asector-wide approach to be useful.We concluded that it would be technicallyfeasible to construct new <strong>norms</strong>, but that thechanges that have taken place in HE and thediversity across the sector render it difficult toselect a range <strong>of</strong> coefficients for their calculationwhich would be applicable across the board.Given this diversity we do not think it isappropriate to recommend a single set <strong>of</strong> <strong>norms</strong>for use across the sector.However, we also concluded that the conceptsunderlying the development <strong>of</strong> <strong>norms</strong> should beretained, because the principles <strong>of</strong> basing anassessment <strong>of</strong> capacity or <strong>space</strong> need on whatactivities are to be delivered and how that mightbe done are still relevant. Without an assessment<strong>of</strong> this type, it is difficult to know whether anHEI, or any organisation, has broadly the rightamount and type <strong>of</strong> <strong>space</strong>.Framework for calculating indicative <strong>space</strong>needsIn this study we developed a method to calculateindicative <strong>space</strong> needs which shares much <strong>of</strong> thegeneral approach that underpins UGC and PCFC<strong>norms</strong>. However, the method assists HEIs inestimating <strong>space</strong> needs based on their ownparticular pr<strong>of</strong>ile <strong>of</strong> academic activity andmethods <strong>of</strong> delivery. This approach is likely to be<strong>of</strong> most interest to HEIs which would like tobetter understand the capacity <strong>of</strong> their estates; tostart from first principles in getting an insightinto what type and how much <strong>space</strong> may beneeded; and to model the effect <strong>of</strong> changes instudent and staff numbers.The method is intended to be flexible andtransparent. It takes the form <strong>of</strong> a frameworkwhich can be used to generate indicative <strong>space</strong>predictions for types <strong>of</strong> <strong>space</strong> and by studentFTE for all or part <strong>of</strong> an HEI, based on staff andstudent numbers and a series <strong>of</strong> defaultcoefficients to assist calculations. HEIs canoverride the default settings if they consider thatalternatives would better reflect their owncircumstances and requirements. The moregenerously the coefficients are set, the greaterwill be the estimated indicative <strong>space</strong> calculation,and vice versa.Key components1. Input data on student and staff numbers, and To be provided by HEIscontact hours and some <strong>space</strong> categories2. A series <strong>of</strong> coefficients generating indicative Default range provided which can be modified<strong>space</strong> pr<strong>of</strong>iles for most <strong>space</strong> categoriesby HEIs3. Output calculations Generated by the interaction <strong>of</strong> 1 and 2 for a range<strong>of</strong> <strong>space</strong> types4 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


The output can then be compared with existing<strong>space</strong> provision. It is also possible to comparethe indicative <strong>space</strong> pr<strong>of</strong>ile generated by theframework with the sector-wide analysis, whichis incorporated in the SMG model forbenchmarking the size <strong>of</strong> the estate andcalculating the cost <strong>of</strong> having an estate kept ingood condition and fit for purpose. The model isavailable to HEIs on the SMG web-site,www.smg.ac.uk/the_model.html.<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 5


IntroductionThis report by Kilner Planning and LondonEconomics to the UK HE <strong>Space</strong> <strong>Management</strong><strong>Group</strong> sets out the results <strong>of</strong> a study into thefeasibility <strong>of</strong> providing updated <strong>space</strong> <strong>norms</strong> forthe higher education sector.The study is one <strong>of</strong> a series <strong>of</strong> research projectscarried out as part <strong>of</strong> the UK <strong>Space</strong> <strong>Management</strong>Project (SMP) under the direction <strong>of</strong> the UK HE<strong>Space</strong> <strong>Management</strong> <strong>Group</strong> (SMG). The SMG issupported by the four UK funding bodies for highereducation: the Higher Education Funding Councilfor England (HEFCE), Scottish Funding Council(SFC), Higher Education Funding Council forWales (HEFCW) and Department for Employmentand Learning (in Northern Ireland) (DEL).This report outlines what HE <strong>space</strong> <strong>norms</strong> areand why they were developed. It explores viewsfor and against their use, and looks at howsubstantial numbers <strong>of</strong> higher educationinstitutions (HEIs) continue to use them, ormodified versions, despite the last updates beingsome 15 years ago. It outlines the way <strong>space</strong><strong>norms</strong> used to be calculated, and provides abroad brush re-estimation <strong>of</strong> University GrantsCommittee (UGC) and Polytechnics and CollegesFunding Council (PCFC) <strong>norms</strong> on the basis <strong>of</strong>the current staff and student numbers andfloor<strong>space</strong> across the sector. The report then setsout the conclusions from the research int<strong>of</strong>easibility <strong>of</strong> developing updated <strong>norms</strong>. For HEIsinterested in this aspect <strong>of</strong> <strong>space</strong> management, itdescribes a framework which can be used to givean indication <strong>of</strong> <strong>space</strong> needs based on an HEI’sindividual pr<strong>of</strong>ile <strong>of</strong> academic activities.Overview <strong>of</strong> the UK HE <strong>space</strong> management projectAll published reports, and previous research mentioned in this document, are available on the web atwww.smg.ac.uk under Reports/tools.Phase one <strong>Review</strong> <strong>of</strong> practice July 2005Drivers <strong>of</strong> the size <strong>of</strong> the HE estate July 2005The cost <strong>of</strong> <strong>space</strong> July 2005Phase two Promoting <strong>space</strong> efficiency in building design March 2006Impact on <strong>space</strong> <strong>of</strong> future changes in higher education March 2006Managing <strong>space</strong>: a review <strong>of</strong> English further education September 2006and HE overseas<strong>Space</strong> utilisation: practice, performance and guidelines September 2006<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> September 2006<strong>Space</strong> management project: case studies September 2006<strong>Space</strong> management project: summary September 20066 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


HE <strong>space</strong> <strong>norms</strong>: their role anddevelopmentThe term <strong>space</strong> norm is <strong>of</strong>ten used in HE todescribe an allowance <strong>of</strong> <strong>space</strong> for a given set <strong>of</strong>activities. It is usually expressed in square metres<strong>of</strong> non-residential <strong>space</strong> per student in differentacademic disciplines. The allowance comprisesdifferent types <strong>of</strong> <strong>space</strong>, such as general purposeand specialist teaching facilities and other nonteachingareas, such as <strong>of</strong>fices.The UGC began to use <strong>space</strong> <strong>norms</strong> in the 1960sfollowing the Government’s decision to expandprovision for higher education. It issued a series<strong>of</strong> publications on them until the late 1980s.Many <strong>of</strong> these were part <strong>of</strong> the UGC’s ‘Notes onControl and Guidance for University BuildingProjects’, or NOCAG.From the outset, <strong>norms</strong> were never intended tobe entitlements to a specific amount <strong>of</strong> <strong>space</strong>,nor were they a rigid, formulaic approach toassessing <strong>space</strong> need. They were introduced toprovide a common system <strong>of</strong> helping to assessthe capacity <strong>of</strong> existing accommodation and <strong>of</strong>defining the scale and composition <strong>of</strong> newbuilding projects designed to accommodategrowth. The function <strong>of</strong> university <strong>space</strong> <strong>norms</strong>was set out in the UGC publication, ‘Planning<strong>norms</strong> for university buildings’, 1974:‘They are used for two main purposes: first inthe establishment <strong>of</strong> unit area allowances onthe basis <strong>of</strong> which expenditure limits for newbuilding or adaptation are set; and secondlyas providing an initial yardstick for theassessment <strong>of</strong> capacity <strong>of</strong> existing buildings.In neither case are they used as bluntinstruments. ... So far as the assessment <strong>of</strong>capacity is concerned, the <strong>norms</strong> ….essentially provide a point <strong>of</strong> departure forthe process <strong>of</strong> assessment, not a rigid formulafor the calculation <strong>of</strong> capacity.’The UGC <strong>norms</strong> were based on surveys in the1960s and 1970s about how institutions plannedand used <strong>space</strong>. They distilled a wide range <strong>of</strong>information and assumptions about coursecomposition and study patterns into a series <strong>of</strong><strong>space</strong> allowances. Elements <strong>of</strong> the <strong>norms</strong> wereupdated by the UGC from time to time, but theunderlying interaction <strong>of</strong> the coefficients uponwhich they were based remained largelyunchanged. The last major update <strong>of</strong> the UGC<strong>norms</strong> was published in 1987.When the PCFC was established in England in1989, it developed its own separate guidance on<strong>norms</strong>. These were published in 1990. The samemethod was used to develop the <strong>norms</strong>, but thearea allowances by discipline were different,reflecting the teaching methods used for differentactivities by PCFC institutions.No new or updated <strong>norms</strong> have been publishedby the Funding Councils since 1990. Over time,the Funding Councils’ role in providing capitalfunding diminished, and they stopped issuingadvice on appropriate amounts and composition<strong>of</strong> <strong>space</strong>. Instead, they took the position thateach institution should decide for itself howmuch <strong>space</strong> it provided and how that <strong>space</strong>should be organised.The HEFCE Circular 1/93, ‘Strategic estatemanagement’, signalled a move away from a<strong>space</strong> <strong>norms</strong>/standards approach to <strong>space</strong>management. It commented that the Council wasreviewing the performance indicators it would usefor considering efficiency in estate use ‘and mayconsider replacing current <strong>space</strong> standards withweightings indicating the relative <strong>space</strong> needs <strong>of</strong>the different academic subject categories and types<strong>of</strong> research activity’. It subsequently undertook anexercise to determine <strong>space</strong> weightings betweendifferent subject or cognate groups. The resultswere contained in a report, by Touche Ross andGrimley in 1995, ‘<strong>Space</strong> weightings’. That studyprovided some insight into how <strong>space</strong> was beingused by discipline across the sector as a whole,but it did not address the question <strong>of</strong> how tocalculate <strong>space</strong> need.The National Audit Office study <strong>of</strong> <strong>space</strong>management in HEIs in Wales in 1996commented that <strong>norms</strong> were widely perceived as<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 7


eing outdated and not reflecting currentpatterns <strong>of</strong> teaching delivery. It noted:‘ ...(HEIs) are complex, diverse, multi-facetedorganisations and the size, cost and nature <strong>of</strong>the estates in which they operate and thepr<strong>of</strong>ile <strong>of</strong> academic activity undertaken withinthem varies enormously. Therefore, attemptsto calculate universal measures <strong>of</strong> the <strong>space</strong>requirement have proved insufficiently flexibleto be meaningful and do not provide a soundbasis for planning capital developments.’Since that study 10 years ago, there has been n<strong>of</strong>urther sector-wide investigation into <strong>space</strong><strong>norms</strong>.Use <strong>of</strong> <strong>norms</strong> todayDespite the length <strong>of</strong> time since <strong>norms</strong> were lastupdated and the policy shift away from them,<strong>norms</strong> have continued to be used by manyinstitutions. They use them for a range <strong>of</strong>purposes, primarily to assess <strong>space</strong> needs, plannew <strong>space</strong> and as a management tool to assistthe allocation <strong>of</strong> <strong>space</strong> between users anddepartments.As recently as 2003-04, the SMP survey <strong>of</strong> <strong>space</strong>management practice across the sector foundthat some 45 per cent <strong>of</strong> respondents used UGCor PCFC <strong>norms</strong> or <strong>space</strong> weightings, <strong>of</strong>ten withmodifications. Others had developed their own<strong>norms</strong>, while 13 per cent <strong>of</strong> respondents did notuse any set method for determining how much<strong>space</strong> was needed. UGC <strong>norms</strong> were used morecommonly than PCFC <strong>norms</strong>, as illustrated inFigure 1.As the SMG Phase One report, ‘<strong>Review</strong> <strong>of</strong>practice’, noted, 27 per cent <strong>of</strong> HEIs use othermethods as well or instead <strong>of</strong> <strong>norms</strong> andweightings. Institutions that use other methodsfrequently use <strong>norms</strong> or weightings as well.Where sources were given for these, the mostcommon were standards or <strong>norms</strong> which weredeveloped by the institutions themselves, advicefrom consultants, external sources, such asWellcome Laboratory Guidelines, and formerDepartment <strong>of</strong> Education and Science (DES)design notes. In some cases, institutions haddeveloped reference areas, which wereinstitution-specific <strong>space</strong> <strong>norms</strong> similar inapproach to the UGC formula.Figure 1: Types <strong>of</strong> <strong>space</strong> <strong>norms</strong>/standards in use403537Number <strong>of</strong> institutions3025 24201510172818550UGC <strong>norms</strong> PCFC <strong>norms</strong> <strong>Space</strong>weightingsMix <strong>of</strong> UGC/PCFCweightingsNo setmethodOther8 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


Examples <strong>of</strong> institutions’ usage <strong>of</strong>standards/<strong>norms</strong>‘...PCFC <strong>norms</strong> with a reduction in thegeneral and specialist elements <strong>of</strong> each normby 50 per cent and 30 per cent respectively,with the exception <strong>of</strong> one school thatprimarily uses specialist teaching <strong>space</strong> forcourse delivery’.‘UGC <strong>norms</strong> are adjusted to the institutionalstaff:student ratios. Results <strong>of</strong> <strong>norms</strong> areexamined for a band <strong>of</strong> –10 per cent to –30per cent <strong>of</strong> adjusted UGC <strong>norms</strong>, with –20per cent as a performance target.’‘...devised own <strong>space</strong> reference areas basedon UGC standard area per workplace buttake account <strong>of</strong> hours <strong>of</strong> instruction given toundergraduates’.In the survey, institutions were asked if theymade adjustments to the standards/<strong>norms</strong> in use.Thirty four per cent said yes. Most <strong>of</strong> theexamples given were reductions.Arguments for and against <strong>norms</strong>Comments made during the survey andsubsequently at SMG seminars on the output fromPhase One showed that there are some stronglyheldand divergent views on the value <strong>of</strong> <strong>norms</strong>.Those who find them useful cite advantagessuch as:• their objectivity and transparency• their credibility with, and acceptance by,<strong>space</strong> users• even if they do not provide the completeanswer, they are at least a good startingpoint• they are a means <strong>of</strong> benchmarkingperformance• having a common system avoids the needfor everyone individually to ‘reinvent thewheel’• they are reasonably easy to use• they give some guide to relative <strong>space</strong> needsbetween different departments and users.Conversely, HEIs not in favour <strong>of</strong> <strong>norms</strong>comment:• although it might not have been the originalintention, they are too <strong>of</strong>ten seen as rigidand prescriptive• they are a blunt instrument and theirinflexibility led to them quickly becomingoutdated• they do not deal with bad fit or the quality<strong>of</strong> <strong>space</strong>• they cannot capture the diversity <strong>of</strong> thesector• rather than having externally generatedstandards, it should be up to eachinstitution to decide how much <strong>space</strong> it hasand what that is made up <strong>of</strong>• other <strong>space</strong> management tools, such as<strong>space</strong> charging, can be used to determinewhat is financially sustainable and toencourage effective and efficient use, andthat in turn drives the amount <strong>of</strong> <strong>space</strong> tobe provided.Against this background, we set out to assess thescope for providing updated <strong>norms</strong> for use asone <strong>of</strong> a wide range <strong>of</strong> <strong>space</strong> management toolsavailable to HEIs.Outline <strong>of</strong> UGC and PCFC <strong>space</strong>norm methodology<strong>Review</strong>ing the methodology used to derive theUGC and PCFC <strong>norms</strong> is an essential startingpoint for assessing the feasibility <strong>of</strong> developing anew sector-wide system and identifying what keyfactors would need to be updated. In this sectionwe give a summary <strong>of</strong> key issues with furtherbackground information set out in Annex 1.The UGC <strong>norms</strong> had three main components:• departmental academic areas• non-departmental academic areas• non-academic areas.<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 9


The departmental academic areas werecalculations <strong>of</strong> notional unit areas expressed interms <strong>of</strong> square metres <strong>of</strong> usable <strong>space</strong> per FTEstudent for some 20 subject groups, such asHumanities and Engineering. Added to thesesubject-based calculations were university-wideallocations for non-departmental academic areas(lecture theatres and libraries) based on studentnumbers. Allocations for the non-academic areaswere also based on student numbers, withdifferent allocations depending on the size <strong>of</strong> theinstitution.The notional unit areas for each subject groupwere derived from observations and assumptionsabout how students in each subject groupstudied and were taught. These included:• how many hours <strong>of</strong>, and what type <strong>of</strong>,activity needed to be delivered• the size <strong>of</strong> the teaching group• the staff:student ratios• how many hours the <strong>space</strong> was available forstudy• what areas per workplace were needed fordifferent activities.Different assumptions were used for differentdisciplines. The interaction <strong>of</strong> these inputmeasures, or coefficients, generated a series <strong>of</strong>allowances for different types <strong>of</strong> <strong>space</strong>, which inturn were distilled into a single square metrefigure, or notional unit area per student FTE bysubject group. The non-departmental academicareas were calculated using similar principles.The PCFC methodology was based on similarprinciples, but varied the assumptions aboutplanned utilisation and areas per workplace, inpart because <strong>of</strong> different delivery methods and<strong>space</strong> standards in the polytechnics and collegessector in England. The <strong>norms</strong> were alsoexpressed as a single area allowance for studentsin each <strong>of</strong> the nine PCFC programme areas,which rolled up all types <strong>of</strong> academic and nonacademic<strong>space</strong> together.Estimation <strong>of</strong> <strong>norms</strong> implied bycurrent estate size and studentnumbersIt is clear from trends in Estate <strong>Management</strong>Statistics (EMS) data and from the <strong>space</strong>management survey that HEIs are operating witha reduced amount <strong>of</strong> floor<strong>space</strong> per student FTEand that where they still use <strong>norms</strong>, they <strong>of</strong>tenadjust them downwards by substantial margins.Either <strong>space</strong> is being used more efficiently, oractivities are being delivered differently, or both.This study estimated the updated <strong>norms</strong> at whichHEIs were implicitly operating based on the size<strong>of</strong> the estate and numbers <strong>of</strong> staff and studentsin 2003-04. This was done for two reasons:• to provide an updated broad brush reestimation<strong>of</strong> UGC and PCFC <strong>norms</strong> forthose HEIs which have continued to findthem useful• to assess the scale <strong>of</strong> the change that hastaken place when measured in terms <strong>of</strong>performance against <strong>norms</strong> – in effect anassessment <strong>of</strong> how the efficiency factor atwhich the sector is operating has changedover time.The exercise also included a comparison with areference year to determine how far performanceagainst <strong>norms</strong> and efficiency factors has changedacross the sector and, where possible, to seewhat the changes have been for individual HEIs.We chose 1991-92 as the reference year becausemany institutions at that time were using UGC orPCFC <strong>norms</strong>. It was the first time that reasonablyrobust data were available on floor<strong>space</strong> for much<strong>of</strong> the sector. Both the UFC (Universities FundingCouncil) and the PCFC carried out floor<strong>space</strong>surveys in 1991. Also, the Pearce Report, ‘Capitalfunding and estate management’, which raised thepr<strong>of</strong>ile <strong>of</strong> <strong>space</strong> management and the cost <strong>of</strong><strong>space</strong>, was issued in 1992.The main data sources for the reference year arethe <strong>space</strong> audit <strong>of</strong> the PCFC sector carried out bysurveyors Geddes Sampson, the PCFC’s10 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


calculations <strong>of</strong> <strong>space</strong> need in 1991-92, andassessments prepared by the UFC in 1991 tosupport the work <strong>of</strong> the group involved in thePearce Report. Data for 2003-04 are taken fromthe Higher Education Statistics Agency (HESA)and EMS.The calculations are only broad brush owing tosome changes in definitions between 1991-92and 2003-04 and lack <strong>of</strong> data on some aspects.For example, there are differences between thedefinition <strong>of</strong> usable <strong>space</strong> used in the UGC<strong>norms</strong>, <strong>space</strong> net <strong>of</strong> circulation in the PCFC<strong>norms</strong> and net internal area as given in EMS. Forthe UGC calculation, there is no informationavailable on the amount <strong>of</strong> equipmentdominated<strong>space</strong>, and no allowance has beenmade for special collections and reserve bookstores in libraries. The calculation <strong>of</strong> <strong>space</strong> FTEstudent numbers for the PCFC calculations isapproximate as HESA does not collect data onevening only students.In order to carry out both the UGC and PCFCcalculations for 2003-04, HESA cost centre datafor staff and students were mapped onto UGCsubject groups and PCFC programme areas. Nochanges were made to any <strong>of</strong> the coefficientsused to derive the original <strong>norms</strong>, with theexception <strong>of</strong> updated academic staff:studentratios for the UGC <strong>norms</strong>. This change wasmade because NOCAG stated that notionalacademic unit areas for subject groups wouldneed to be adjusted to reflect up-to-date ratios.As such, this modification was a recommendedcomponent <strong>of</strong> the methodology. Other than that,there was no alteration to any <strong>of</strong> the underlyingassumptions about hours <strong>of</strong> instruction orpatterns <strong>of</strong> use.UGC norm estimationThere is some data available on UGC normcalculations for 1991-92 from analysis done tosupport the Pearce Report working group. Itfound that in 1991, across the sector (just over60 universities), there was a 7 per cent excess <strong>of</strong>floor<strong>space</strong> on average across all subject groupscompared with a norm-based calculation <strong>of</strong>teaching <strong>space</strong> need. The calculations were morerobust for some subject groups than others. Inparticular, analysis <strong>of</strong> pre-clinical and clinicalsubject groups was complicated by therelationship with the Department <strong>of</strong> Health.For 2003-04, an estimation <strong>of</strong> implied <strong>norms</strong>was made for all HEIs, including former PCFCinstitutions, which had the necessary HESA andEMS data. HESA data were used to calculateupdated staff:student ratios for the subjectgroups. A total <strong>of</strong> 97 institutions were analysed.At the aggregate level, it was found that HEIswere operating with 80 per cent <strong>of</strong> the predictionbased on UGC <strong>norms</strong>, excluding any allowancefor equipment-dominated <strong>space</strong>, specialcollections and sponsored research. There wassubstantial variation between institutions,ranging from 31 per cent to over 200 per cent.An estimation <strong>of</strong> the 2003-04 net area per FTEstudent by subject group is shown below. Table 1also includes the NOCAG 1987 figures forcomparison. The differences in 2003-04 figuresare a function, first, <strong>of</strong> the changed staff:studentratios and, secondly, <strong>of</strong> a reduction <strong>of</strong> 20 percent across the board to reflect the currentposition across the sector. If the staff:studentratios had been held constant, the reductionwould have been greater than 20 per cent,because for almost all subject groups the <strong>norms</strong>would have allowed for a larger component <strong>of</strong>staff <strong>of</strong>fice accommodation.<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 11


Table 1: Comparison <strong>of</strong> 1987 NOCAG and 2003-04 estimated <strong>space</strong> allowances1987 NOCAG subject group FTE <strong>space</strong> allowances 2003-04 Estimation <strong>of</strong> allowances implied by <strong>space</strong>/student numbersAcademic Allowance Academic Allowancestaff: inc for staff: inc forstudent UG PGC PGR academic Subject student UG PGC PGR academicSubject group ratio m 2 m 2 m 2 staff group ratio m 2 m 2 m 2 staffPre clinical medicine 1:8 14.1 14.1 20.4 3.8 Pre clinical medicine 1:8 11.2 11.2 16.2 3.0& dentistry & dentistryClinical medicine 1:6 6.5 6.5 22.2 5.2 Clinical medicine 1:2.6 2 10.5 10.5 23.0 9.5Clinical dentistry 1:6 10.5 13.0 16.2 4.2 Clinical dentistry 1:6.6 6.6 8.0 10.0 12.6Studies allied to medicine 1.8 9.8 12.3 18.4 3.8 Studies allied to 1:16.2 6.3 8.3 13.1 1.5and dentistry medicine and dentistryBiological sciences 1:9 9.2 12.2 19.1 3.4 Biological sciences 1:6.8 8.2 10.6 16.1 3.6Psychology 1:11 8.2 10.5 19.5 3.0 Psychology 1:14 6.0 7.8 15.0 1.9Agric & Forestry/ 1:9 9.2 12.2 19.1 3.4 Agric & Forestry/ 1:7.7 7.8 10.2 15.7 3.2Veterinary science 1 Veterinary science 1Physical sciences 1:8 9.8 12.3 18.4 3.8 Physical sciences 1:6.3 8.6 10.6 15.5 3.8Mathematics 1:11 3.6 3.6 5.0 1.3 Mathematics 1:12.2 2.8 2.8 3.9 0.9Computer sciences 1:11 7.3 10.2 11.2 2.2 Computer sciences 1:15.1 5.3 7.6 8.4 1.3Engineering & technology 1:9 9.8 16.6 17.9 3.2 Engineering & technology 1:9.3 7.7 13.1 14.2 2.5Architecture, building 1:8 9.8 9.8 9.4 2.3 Architecture, building 1:16 6.9 6.9 6.6 0.9and planning and planningGeog & Economics 1:14 5.4 6.8 7.1 1.0 Geog & Economics 1:12.6 4.4 5.5 5.7 0.9Social studies 1:12 2.4 2.4 4.9 1.2 Social studies 1:17.3 1.6 1.6 3.6 0.7Business 1:11 3.3 3.3 5.0 1.3 Business 1:22.2 2.1 2.1 3.5 0.5Languages 1:10 3.5 3.5 5.2 1.4 Languages 1:14.6 2.4 2.4 3.8 0.8Humanities 1:11 2.6 2.6 5.2 1.3 Humanities 1:15.7 1.8 1.8 3.8 0.7Archaeology 1:10 5.5 6.8 7.2 1.4 Archaeology 1:8.8 4.5 5.6 5.9 1.3Art, design, music 1:10 9.1 9.1 8.8 1.9 Art, design, music 1:16.4 6.7 6.7 6.4 0.9& drama & dramaEducation 1:11 5.0 5.0 4.8 1.3 Education 1:19.1 3.5 3.5 3.4 0.6Catering & hospitality 1:21.4 5.8 8.1 13.6 1.1management 31 Additional allowance for special additionsUG Undergraduate3 Additional subject group included to allow for this cost centre PGR Postgraduate research2 Staff:student ratio likely to be affected by inclusion <strong>of</strong> clinical staffPGC Postgraduate course12 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


PCFC norm estimationWe made a similar estimation for PCFC <strong>norms</strong>with data for 1991-92 based on the final GeddesSampson survey data and PCFC <strong>space</strong> normcalculations for 84 polytechnics and colleges inEngland. At that time, on average, theseinstitutions were operating at 91.2 per cent <strong>of</strong>PCFC <strong>norms</strong>. There was wide variation, rangingfrom 184 per cent in the case <strong>of</strong> a specialistmusic college to 40 per cent for one college <strong>of</strong>higher education.We did a broadly equivalent calculation for2003-04 for 127 HEIs across the UK, includingformer UGC institutions, which had thenecessary EMS data. Given that the PCFC <strong>norms</strong>did not make any provision for research,research <strong>space</strong> was excluded from thecalculations. The result showed that in 2003-04,the sector was operating at 79.5 per cent <strong>of</strong>PCFC <strong>norms</strong> – a reduction <strong>of</strong> some 13 per centsince 1991-92. Again, there was wide variation,from 35 per cent to 193 per cent.A comparison <strong>of</strong> individual institutionalperformance between 1991-92 and 2003-04 iscomplicated by the many changes and mergerswhich have taken place. For the 50 HEIs whichare broadly recognisably the same in both years,they were operating at 91.6 per cent <strong>of</strong> <strong>norms</strong> in1991-92 and are now at 67.5 per cent. This is areduction <strong>of</strong> 26.3 per cent.An estimation <strong>of</strong> sector-wide PCFC <strong>norms</strong> for2003-04 is given in Table 2. Based on the figuresfor the sector as a whole, the original <strong>norms</strong> arereduced by 20.5 per cent for each programmearea.Conclusions on feasibility <strong>of</strong>updating <strong>norms</strong>The outline <strong>of</strong> how UGC and PCFC <strong>norms</strong> werecalculated shows that they were a function <strong>of</strong> aseries <strong>of</strong> coefficients. The key ones were:• total hours <strong>of</strong> on-campus contact orlearning hours per week per student• breakdown <strong>of</strong> those hours into differenttypes <strong>of</strong> activity, for instance lecture theatrehours, seminar hours and laboratory hours• total hours that <strong>space</strong> is available per weekto be used, for instance 40 hours• predicted frequency and occupancy rates for<strong>space</strong> use, that is planned utilisation• <strong>space</strong> standards per place in teaching,learning, research and support <strong>space</strong>s• definition <strong>of</strong> discrete subject groups ordisciplinesTable 2: Estimates for PCFC <strong>norms</strong>Programme area 1990 <strong>Space</strong> norm (m 2 ) 2003-04 Estimated norm (m 2 )Engineering 15 11.9Built Environment 9.5 7.6Science 15 11.9IT and Computing 11 8.7Business 8 6.4Health and Life Science 10 8Humanities 7.5 6Art and Design 14 11.1Education 9.5 7.6<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 13


• staff:student ratios by discipline or subjectgroup• pr<strong>of</strong>essorial:other academic staff ratios bysubject group• academic:support staff ratios by subjectgroup.Calculations <strong>of</strong> <strong>norms</strong> are highly sensitive tovariations in these coefficients. Nevertheless, atthe time <strong>of</strong> their original formulation, the UGCconcluded that there was enough consistencyamong universities to enable sector-wide <strong>norms</strong>to be generated. This was with the recognitionthat if there were a significant alteration in any<strong>of</strong> the core coefficients, then the <strong>norms</strong> wouldneed revising. The PCFC reached a similarconclusion, but it did not adopt all thecoefficients already used by the UGC. Inparticular, it used a higher predicted utilisationrate and the <strong>space</strong> standards were slightly lower.This was partly for policy reasons and partly toallow for different teaching practices in theformer polytechnics and colleges.Across the sector, there have been changes in thecoefficients listed above since the <strong>norms</strong> weredevised. The key issues are whether it would befeasible to update these coefficients on a sectorwidebasis, and if so, whether there is stillsufficient consistency between HEIs to enablesuch a sector-wide approach to be <strong>of</strong> practicalbenefit.Discussion <strong>of</strong> the main coefficientsContact and learning hoursChanges in pedagogy and the shift towardsstudent-centred and blended learning are welldocumented,but there are no sector-wide dataon trends in contact hours or on hours <strong>of</strong> selfdirectedstudy in different types <strong>of</strong> <strong>space</strong>.Although guided learning hours are recorded foreach student in further education in England,there is no equivalent in higher education.Over the course <strong>of</strong> the SMP, information hasbeen provided by a number <strong>of</strong> HEIs which givessome insight into the way that courses areconstructed in terms <strong>of</strong> numbers <strong>of</strong> hours <strong>of</strong>lectures, laboratory-based activities etc. SomeHEIs can provide this information quite easilyvia timetabling systems covering all teaching<strong>space</strong>. Others needed to seek at least someinformation – particularly on hours <strong>of</strong> use <strong>of</strong>specialist <strong>space</strong> – from departments and faculties.In general terms, the data show that sciencesubjects have more hours than humanities, butthere are marked variations between theinstitutions for similar subjects both in totalnumber <strong>of</strong> hours and how they break down intodifferent activities. From the data available, theindications are that there is not enoughconsistency to generate a meaningful series <strong>of</strong>assumptions about composition <strong>of</strong> differentsubjects in order to provide a robust foundationfor recalculation <strong>of</strong> <strong>norms</strong>.Hours availableThe existing <strong>norms</strong> are based on assumptionsabout the availability <strong>of</strong> time Monday to Friday.They ignore activities in the evening, at theweekend and outside term time. However, manyinstitutions are now operating on a longerworking day and this can have a marked effecton the <strong>space</strong> <strong>norms</strong>. For example, if thecoefficient for hours available is set at 12 hoursper day rather than eight, it increases capacity by50 per cent.Planned levels <strong>of</strong> utilisationThe same is true <strong>of</strong> planned levels <strong>of</strong> utilisation.For instance, calculations based on plannedfrequency and occupancy rates <strong>of</strong> 50 per centwill generate a much larger <strong>space</strong> norm than aplanned rate <strong>of</strong> 80 per cent. Data from EMS andthe SMP <strong>space</strong> management survey show widevariations in planned utilisation rates and targetsadopted by HEIs.<strong>Space</strong> standardsBoth the UGC and PCFC <strong>norms</strong> used a series <strong>of</strong><strong>space</strong> standards for given activities, such as for<strong>of</strong>fice workplaces and for different teachingactivities. As part <strong>of</strong> the management practicesurvey HEIs were asked if they used <strong>space</strong>standards and if so to provide details <strong>of</strong> whatthose were. The findings were that 47 per cent <strong>of</strong>respondents use <strong>space</strong> standards. Where14 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


information was given on the standards being usedmost relates to <strong>of</strong>fice areas. See below.Examples <strong>of</strong> <strong>space</strong> standards used‘...management <strong>of</strong>fices 20 m 2 , other single<strong>of</strong>fices 9 m 2 , other <strong>of</strong>fice <strong>space</strong> 7.5 m 2 .Pr<strong>of</strong>essors and heads <strong>of</strong> schools 20 m 2 ,other academic staff 15 m 2 , support staff8 m 2 ’.‘...10 m 2 for non-academic andadministrative staff and a standardcomputing area <strong>of</strong> 3.5 m 2 ’.‘...use a planning norm for <strong>of</strong>fice <strong>space</strong> <strong>of</strong>around 6-8 m 2 ’.‘...policy <strong>of</strong> providing not more than 10 m 2per FTE staff in new and replacement<strong>space</strong>’.‘...<strong>of</strong>fices 7 m 2 and laboratories 3 m 2 perworkplace’.However, there was insufficient information toprovide comprehensive data on the <strong>space</strong>standards for workplaces now being used in thesector. Nor does EMS provide data at such a level<strong>of</strong> detail. In addition, some external fundingbodies require <strong>space</strong> to be provided in accordancewith their own specifications which may bedifferent from those which would otherwise havebeen adopted by HEIs.Staff numbers and ratiosOur analysis <strong>of</strong> the <strong>norms</strong> based on estate size andstudent numbers included a calculation <strong>of</strong> thestaff:student ratios across the sector by HESA costcentre for 2003-04. As expected, in most casesthese show substantial increases in the numbers <strong>of</strong>students per member <strong>of</strong> staff from the figures usedin NOCAG. They also show wide ranges withincost centres by institution. This degree <strong>of</strong> variationwould make it difficult to include a meaningfulacademic <strong>of</strong>fice <strong>space</strong> component within thenotional unit area per FTE by cost centre.Conclusions on coefficientsThis discussion <strong>of</strong> key coefficients underpinning<strong>norms</strong> highlights that some data are not collectedon a sector-wide basis, such as the hours <strong>of</strong>instruction and <strong>of</strong> self-directed learning that makeup courses in different disciplines. Nevertheless,from the information which is available it can beseen that there is substantial diversity in delivery<strong>of</strong> activities between HEIs, for example in teachingand learning methods and in staff:student ratios.There are also widespread variations intimetabling practice and increasing blurring <strong>of</strong> theboundaries in <strong>space</strong> types.While it would be technically feasible to constructnew <strong>norms</strong>, the changes that have taken place inHE and the degree <strong>of</strong> variation across the sectorrender it difficult to select a range <strong>of</strong> coefficientsfor their calculation which would be applicable tothe full range <strong>of</strong> institutions. The sector hasmoved from the position <strong>of</strong> relative homogeneityat the time that the original UGC <strong>norms</strong> weredeveloped, and where the assumptions aboutpractice were generally relevant to mostuniversities. Given this diversity, it is concludedthat it would not be appropriate to recommend asingle set <strong>of</strong> <strong>norms</strong> for use across the sector.However, such a conclusion does not mean thatthe concepts underlying the development <strong>of</strong> <strong>norms</strong>need, or should, be abandoned. The principles <strong>of</strong>basing an assessment <strong>of</strong> capacity or <strong>space</strong> need onwhat activities are to be delivered and how thatmight be done are still relevant. It could be arguedthat without an assessment <strong>of</strong> this type, it isdifficult to know whether an HEI, or anyorganisation, has broadly the right amount andtype <strong>of</strong> <strong>space</strong>. It may be investing resources inmore <strong>space</strong> than it needs or in facilities which areno longer required. Likewise, if it has plans tochange the range and scale <strong>of</strong> activities in thefuture, it is hard to know if its estate has the scopeto deliver those objectives and how it might needto change and adapt.<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 15


Framework for indicating <strong>space</strong>needInstitutions can use the principles on which<strong>norms</strong> are based to build up a framework andgenerate an indicative pr<strong>of</strong>ile <strong>of</strong> their ownindividual <strong>space</strong> needs.Such a method provides a set <strong>of</strong> internal,institution-specific <strong>space</strong> <strong>norms</strong> for HEIs fordifferent types <strong>of</strong> activities or forfaculties/departments. This method is similar tothat already used by some institutions, and italso has elements in common with thecalculation <strong>of</strong> <strong>space</strong> factors which have beenwidely used in North America, and with theLearning and Skills Council model for assessing<strong>space</strong> need in further education colleges inEngland.This method would assist an HEI in estimating<strong>space</strong> needs based on its own particular pr<strong>of</strong>ile<strong>of</strong> academic activity and ways <strong>of</strong> working, itsmethods <strong>of</strong> delivery and the type <strong>of</strong> <strong>space</strong>considered appropriate for different activities.HEIs can therefore adopt the series <strong>of</strong>coefficients which best suit their owncircumstances.The advantage <strong>of</strong> this approach is that it allowsfor institutional diversity, and the content <strong>of</strong> theframework can be modified to reflect changes inactivities or practices or to model a range <strong>of</strong>potential scenarios. It generates an indicative<strong>space</strong> pr<strong>of</strong>ile for all or part <strong>of</strong> an HEI in terms <strong>of</strong>amount and type <strong>of</strong> <strong>space</strong> and by student FTE.These can then be compared with actual <strong>space</strong>available. A disadvantage is that although thebasic structure <strong>of</strong> the approach can be suppliedto HEIs, they need to provide the core input datato populate it and they need to decide on thecoefficients which would be appropriate forthem. As such, initially at least, it would takelonger to work through than the application <strong>of</strong> asingle set <strong>of</strong> externally generated <strong>norms</strong>.from first principles in getting an insight intowhat type and how much <strong>space</strong> may be needed;to model the effect <strong>of</strong> changes in student andstaff numbers and the impact <strong>of</strong> other changes ininstitutional objectives.The remainder <strong>of</strong> this section describes theapproach and its uses in more detail.Range <strong>of</strong> potential framework outputsThis method can be used to derive an indicative<strong>space</strong> pr<strong>of</strong>ile consisting <strong>of</strong> some or all <strong>of</strong> thefollowing for an individual HEI.Guide to total area and subtotals by<strong>space</strong> type• Total core teaching area andbreakdown <strong>of</strong> teaching area by type• Total learning area and breakdown <strong>of</strong>learning area by type <strong>of</strong> <strong>space</strong>• Total <strong>of</strong>fice area and breakdown <strong>of</strong><strong>of</strong>fice area (teaching, research andadministration/support) by type• Total core research area andbreakdown <strong>of</strong> research area by type<strong>of</strong> <strong>space</strong>Guide to area per student FTE• By <strong>space</strong> type• By department or facultyThe framework allows for calculations to bedone initially at the level <strong>of</strong> faculty/departmentor other preferred grouping/unit <strong>of</strong> users, whichcan then, if desired, be aggregated to institutionwidelevel. HEIs may choose to look at all <strong>space</strong>types or to focus on particular elements, such as<strong>of</strong>fices or specialist teaching <strong>space</strong>.In this context, such an approach is likely to bemost useful for HEIs which would like to betterunderstand the capacity <strong>of</strong> their estates; to start16 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


Composition <strong>of</strong> the frameworkOne approach to developing the framework isavailable for HEIs to download from the SMGweb-site at www.smg.ac.uk. It includes theframework in a spreadsheet and a user guide toexplain how an indicative pr<strong>of</strong>ile <strong>of</strong> <strong>space</strong> needscan be developed. Annex 2 contains an extractfrom the spreadsheet.This spreadsheet is not the only way <strong>of</strong> expressingthe calculations, and HEIs may prefer to developtheir own methods using the same principles. Ingeneral, however, the core components <strong>of</strong> theframework will be the same. The indicative <strong>space</strong>pr<strong>of</strong>ile will be built up from the same basic set <strong>of</strong>input measures and coefficients.HEIs will need to provide the staff and student inputdata themselves. The framework will not functionwithout input data on student and staff numbersand on event hours per week for different types <strong>of</strong><strong>space</strong>. HEIs need to enter their own data. The datamay be held in a number <strong>of</strong> different formats andlocations. In some HEIs, the necessary informationmay be held centrally. In other cases, it might belocated with individual departments or faculties.HEIs will also need to make decisions on the keycoefficients, although default settings are suppliedfor many <strong>of</strong> these in the framework to act as aninitial starting point for the calculations.The coefficients in the model which generate anindicative pr<strong>of</strong>ile <strong>of</strong> <strong>space</strong> need are:• length <strong>of</strong> the academic year• length <strong>of</strong> the core timetabled week• target frequency <strong>of</strong> use <strong>of</strong> workplaces• target occupancy rate <strong>of</strong> workplaces• area per workplace and ancillary allowances.A flexible and transparent approachThe framework has been set up with a series <strong>of</strong>default coefficients to assist calculations, butwhere highlighted on the spreadsheet these can beoverridden with alternatives. In this way, HEIscan base the calculations on their own existing orpreferred practice. The default settings are basedon some examples <strong>of</strong> existing practice in thesector as found during the course <strong>of</strong> the SMP, butthey are not recommendations, nor are they set togenerate maximum efficiency in <strong>space</strong> use. As ourdiscussion <strong>of</strong> key coefficients in the previoussection concluded, there is a wide range <strong>of</strong>institutional practice and what might beappropriate in one institution may be unsuitablein another. The framework has been set up tohave the flexibility to accommodate institutionaldiversity and to reflect the actual range <strong>of</strong>activities in an institution and the particular wayit carries out those activities.The model is set out in spreadsheet form so thatthe interaction <strong>of</strong> the input data and coefficientsis transparent, and so that it is possible to trackthe effect <strong>of</strong> changing input data (for examplefuture student number projections) and/or thecoefficients (for example varying the area perworkplace or the target utilisation). Thus, if theinput data remained unchanged, but if weeks inthe academic year and the hours in the coreweek were increased; if the target frequency andoccupancy rates were raised; and if the area perworkplace was reduced, the overall prediction <strong>of</strong><strong>space</strong> need would fall. Conversely, the moregenerously the coefficients are set, the larger thetotal area that is predicted. The framework couldbe used to model different scenarios to get thepreferred balance <strong>of</strong> affordability and quality <strong>of</strong>working and studying environment.Key components1. Input data on student and staff hours, and To be provided by HEIsevent hours and some <strong>space</strong> categories2. A series <strong>of</strong> coefficients generating indicative Default range provided which can be modified<strong>space</strong> pr<strong>of</strong>iles for most <strong>space</strong> categoriesby HEIs3. Output calculations Generated by the interaction <strong>of</strong> 1 and 2 for a defaultrange <strong>of</strong> <strong>space</strong> types<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 17


Comparison with existing <strong>space</strong>Once the framework has been developed, theresults can be compared with <strong>space</strong> available,although allowance must be made for the factthat the output from the framework will be ageneral indicator <strong>of</strong> <strong>space</strong> need only. It will not bea firm prediction because, as with the original<strong>norms</strong>, it would need moderation to allow forindividual institutional characteristics such as badfit, individual room sizes, historical estates, splitsites, the configuration <strong>of</strong> existing buildings andthe impact <strong>of</strong> legislative compliance on <strong>space</strong> use.The comparison can be made in terms <strong>of</strong> thefollowing:• total <strong>space</strong> – predicted by <strong>space</strong> type andexisting• number <strong>of</strong> workplaces by type – predictedand existing• area per workplace by <strong>space</strong> type –predicted and existing• <strong>space</strong> per FTE student/member <strong>of</strong> staff –predicted across the institution and byfaculty/department and existing• predicted levels <strong>of</strong> utilisation (bothfrequency and occupancy) with scheduledand surveyed rates (where the latter areavailable).Comparison with SMG modelIt is also possible to compare the indicative <strong>space</strong>pr<strong>of</strong>ile generated by the framework with thesector-wide analysis incorporated in the SMGmodel (www.smg.ac.uk/the_model.html) forbenchmarking the size <strong>of</strong> the HE estate andcalculating the cost <strong>of</strong> having an estate kept ingood condition and fit for purpose.Link with other SMP <strong>space</strong> managementtoolsThe <strong>space</strong> management methods described in thisreport have close links with other components <strong>of</strong>the SMP, particularly the report on the impact <strong>of</strong>design on <strong>space</strong> efficiency and on <strong>space</strong>utilisation (HEFCE 2006/09, available on theSMG web-site).18 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


Annex 1: UGC and PCFC <strong>space</strong>norm methodologyThis annex gives a summary <strong>of</strong> the methodologyused to derive the UGC and PCFC <strong>norms</strong>.UGC <strong>norms</strong>These <strong>norms</strong> were intended to give an estimation<strong>of</strong> the academic capacity <strong>of</strong> existing or newbuildings. ‘The estimated or calculated numbers <strong>of</strong>FTE students that can be accommodated to <strong>space</strong>standards in line with the Committee’s planning<strong>norms</strong> within the usable areas available for agiven purpose.’ (NOCAG 1987 paragraph 140.)The UGC <strong>norms</strong> had three main components:departmental academic areas; non-departmentalacademic areas; and non-academic areas.The departmental academic areas werecalculations <strong>of</strong> notional unit areas expressed interms <strong>of</strong> square metres <strong>of</strong> usable <strong>space</strong> per FTEstudent for some 20 subject groups, such ashumanities and engineering. The area per FTEfor each discipline included allowances for:• teaching <strong>space</strong> (excluding lecture theatres)• academic <strong>of</strong>fices and research laboratories• non-academic <strong>of</strong>fices and stores• teaching and post-graduate laboratories• laboratory ancillaries.These departmental unit/norm areas were notintended as either maximum or minimumallowances or entitlements, but as a basis <strong>of</strong>calculating a total area within whichdepartments would normally be expected t<strong>of</strong>unction reasonably and above which thereshould be a special justification.Added to these subject-based calculations wereuniversity-wide allocations for non-departmentalacademic areas (lecture theatres and libraries)based on student numbers.Allocations for the non-academic areas listedbelow were also based on student numbers, withdifferent allocations depending on the size <strong>of</strong> theinstitution:• administration• social, dining and sports facilities.Sponsored research <strong>space</strong> and equipmentdominated areas were in addition to theseallowancesAs well these FTE based calculations, NOCAGprovided <strong>space</strong> standards for different HEactivities such as general teaching (1 m 2 perplace for lecture theatres for instance), <strong>of</strong>ficesand teaching laboratories. The standards wereintended as a means <strong>of</strong> checking overallcalculations, and it was recognised that theywould need adjustment in many situations.The departmental notional unit areas and theadditional non-departmental areas and nonacademicareas per FTE were based on a series <strong>of</strong>observations and assumptions about the hoursand type <strong>of</strong> activity for which <strong>space</strong> had to beprovided, on planned utilisation, and the areasper place needed to accommodate those activities.The way in which these assumptions interacted togenerate a departmental academic area for eachsubject group can be illustrated by taking onesubject as an example. The example used below isarchitecture, building and planning. The <strong>space</strong>norm for an FTE undergraduate in this subjectgroup was given in NOCAG 1987 as 9.8 m 2 <strong>of</strong>usable <strong>space</strong>. The academic staff:student ratio wasgiven as 1:8. This figure was made up <strong>of</strong> fourseparate <strong>space</strong> components as shown in Table 3.Table 3: Components <strong>of</strong> normArchitecture, building and planningm 2 per FTE undergraduateAcademic <strong>of</strong>fices, tutorial teaching and research 2.3Admin/technical <strong>of</strong>fices and storage 0.65Seminar rooms/group teaching 0.35Specialist subject facilities 6.5Total 9.8<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 19


Each <strong>of</strong> these components was calculated asfollows:1. Allowance for academic <strong>of</strong>fices, tutorialteaching and research:Office <strong>space</strong> <strong>of</strong> 18.5 m 2 per pr<strong>of</strong>essor(including 6.5 m 2 for tutorial <strong>space</strong>)Office <strong>space</strong> <strong>of</strong> 13.5 m 2 per academicmember <strong>of</strong> staff (including 6.5 m 2 fortutorial <strong>space</strong>)Assumption made about the ratio <strong>of</strong>pr<strong>of</strong>essorial to other academic staffAssumption for this subject group that theacademic staff:FTE student ratio was 1:8Research <strong>space</strong> was included additionallyper member <strong>of</strong> academic staff. For thissubject group it was 4.6 m 2 for a drawingboard2. Allowance for admin/technical <strong>of</strong>fices andstorage:Office <strong>space</strong> <strong>of</strong> 7 m 2 per secretarial staff atratio <strong>of</strong> 1 per pr<strong>of</strong>essor and 1 per 4academic staff plus 1 administrator with an<strong>of</strong>fice <strong>of</strong> 7 m 2 and a chief technician with an<strong>of</strong>fice <strong>of</strong> 9.3 m 23. Allowance for seminar/group teaching:It was assumed that there was a notional 30hour teaching weekThere would be one hour <strong>of</strong> seminar/groupteachingThe utilisation factor was 20 per centThe area per workplace was 1.85 m 2Thus, 1/30 x 5/1 x 1.85 = 0.31, say 0.35 m 24. Allowance for specialist subject facilities:Allowance <strong>of</strong> 6.5 m 2 to cover 4.6 m 2 for adrawing <strong>of</strong>fice/studio place plus 40 per centextra for ancillaries and storage.The same method was used to calculate areas foreach <strong>of</strong> the other subject groups but withdifferent assumptions used about <strong>space</strong>standards, hours needed for different types <strong>of</strong><strong>space</strong> and staff:student ratios. The UGC <strong>norms</strong>as set out in the NOCAG 1987 publication werebased on staff:student ratios for 1980-81.Non-departmental academic <strong>space</strong> wascalculated using similar principles. There was anallowance <strong>of</strong> 0.5 m 2 per FTE for lecture theatresfor almost all subject groups based on:Notional 30 hour week8 hours <strong>of</strong> lectures per student FTEFrequency factor <strong>of</strong> 66 per centOccupancy factor <strong>of</strong> 75 per centArea per place <strong>of</strong> 1 m 2Thus, 8/30 x 3/2 x 4/3 x1 = 0.5 m 2For libraries the allowance was 1.25 m 2 basedon one reader place per six FTE students at 0.4m 2 plus a book stack allowance <strong>of</strong> 0.62 m 2 andan addition for administration.PCFC <strong>norms</strong>Before incorporation, polytechnics and collegesin England used DES Design Notes to inform<strong>space</strong> need and assess capacity. There was arange <strong>of</strong> methods, for example Design Note 45used a <strong>space</strong> norm <strong>of</strong> 14.5 m 2 per <strong>space</strong> FTEstudent to generate a predicted size forpolytechnics. By the end <strong>of</strong> the 1980s, the PCFCconcluded that on average institutions wereoperating with substantially less <strong>space</strong> than theDesign Notes predicted. It introduced a newsystem <strong>of</strong> <strong>space</strong> <strong>norms</strong> for PCFC institutions inits ‘Guidance on estate management’ (1990) withreduced area allowances to reflect the practice <strong>of</strong>the time. The PCFC <strong>norms</strong> were around 15 percent less than some <strong>of</strong> the previous DES methods<strong>of</strong> calculation. The new system was intended tobe an incentive to economy and efficiency, andfrom its introduction there was a presumptionthat unless HEIs were operating below the areapredicted by the <strong>norms</strong>, they were not using theirresources efficiently.The PCFC <strong>norms</strong> were based on area allowancesper <strong>space</strong> FTE for each <strong>of</strong> the nine academicprogramme areas used by the Funding Council.They covered both specialist and non-specialistareas. Non-specialist <strong>space</strong> included pooledteaching, libraries, staff accommodation,20 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


administration, sports and catering facilities.They were based on the input measures similarto those in the UGC <strong>norms</strong> but with somedifferent assumptions about planned utilisationand areas per workplace. There was noallowance for research <strong>space</strong>.patterns, the move to more student-centredlearning and a longer working week. There havebeen no published changes to either set <strong>of</strong> <strong>norms</strong>since 1990.Table 4: Norms for each <strong>of</strong> theprogramme areasProgramme area <strong>Space</strong> norm (m 2 ) *Engineering 15Built Environment 9.5Science 15IT and Computing 11Business 8Health and Life Science 10Humanities 7.5Art and Design 14Education 9.5* Areas were net <strong>of</strong> circulationPCFC norm-based <strong>space</strong> need calculations werevery simple to undertake. Student numbers werecalculated in terms <strong>of</strong> <strong>space</strong> full-time equivalentsfor each programme area and then multiplied bythe area allowance. <strong>Space</strong> full-time equivalentsused specific weightings used to convert differentmodes <strong>of</strong> attendance to FTE numbers. Forinstance, a weighting <strong>of</strong> 0.22 was applied topart-time students and zero to evening onlystudents. The resulting figure could then becompared with actual <strong>space</strong> available to assesswhether there was an under or over provision <strong>of</strong><strong>space</strong>. Actual <strong>space</strong> was divided by the normbasedcalculation to generate an efficiency index.An index greater than one indicated more <strong>space</strong>was available than the norm predicted.Both the UGC and the PCFC recognised that<strong>norms</strong> would need to be kept under review totake account <strong>of</strong> changes in higher education, forexample in response to changing teaching<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 21


Annex 2: Spreadsheets to accompany framework for indicating <strong>space</strong> need22 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 23


24 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40


<strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40 25


List <strong>of</strong> abbreviationsEMSFEFTEHEHEFCEHEIHESANOCAGPCFCSMGSMPUFCUGCEstate <strong>Management</strong> StatisticsFurther educationFull-time equivalentHigher educationHigher Education Funding Council for EnglandHigher education institutionHigher Education Statistics AgencyThe University Grants Committee’s ‘Notes on Control and Guidance for University Building Projects’Polytechnics and Colleges Funding Council<strong>Space</strong> <strong>Management</strong> <strong>Group</strong><strong>Space</strong> <strong>Management</strong> ProjectUniversities Funding CouncilUniversity Grants Committee26 <strong>Review</strong> <strong>of</strong> <strong>space</strong> <strong>norms</strong> 2006/40

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