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Scenario Planning to De-Risk a New Construction at the University of Tasmania

Scenario Planning to De-Risk a New Construction at the University of Tasmania
University of Tasmania
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De-risking a vital building construction project with a scenario based planning tool and timetable and scheduling analysis to support data based optimised space requirement to contain cost.

The University of Tasmania (UTAS) is a public research university primarily located in Tasmania, Australia. Founded in 1890, it is Australia’s fourth oldest university. Christ College, one of the university’s residential colleges, was founded in 1846 and is the oldest tertiary institution in the country. The University of Tasmania is a sandstone university.
The university offers various programs in a range of disciplines, and has links with 20 specialist research institutes and cooperative research centres. The university’s Institute for Marine and Antarctic Studies have strongly contributed to the university’s multiple 5 rating scores (well above world standard) for excellence in research awarded by the Australian Research Council.

The university was ranked in the top 10 research universities in Australia and in the top two per cent of universities worldwide in the Academic Ranking of World Universities. The University has 12,700 full time students.

The Challenge

The University was seeking to consolidate its Cradle Coast Campus in North West Tasmania into one location. UTAS needed to establish the space needed and the development of a schedule of accommodation to support its course offerings, student numbers and timetabling capacity. This needed to include the analysis of the current student and course and space demand, along with projections and scenarios of possible future demand. The output was to be used to manage stakeholders expectations for the Cradle Coast Campus relocation to West Park.

The Solution

EventMAP were able to extract the relevant information from the current timetable and assess those requirements against the proposed space profile of the new campus using EventMAP Optime software tools. This enabled the university to strike a balance between supply and demand, optimising the supply of space to ensure appropriate provision. This also included the ability to then forecast the projected requirements of capital expenditure needed to deliver the optimised spacial solution.

The Benefits

EventMAP produced outputs that predicted the amount of space required to accommodate the proposed relocated programs, based on student numbers, teaching space type, contact hours per student per teaching activity, across the length of the timetabled year. This allowed an optimised approach to be taken in designing the new space, with the university confident that what was provided was both effective and efficient and met longer term needs within a defined capital cost.

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