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Create a model of the actual space usage in order to find the right balance between optimizing existing assets and building new facilities

Case study
Knowledge & Research

Create a model of the actual

space usage in order to find

the right balance between

optimizing existing assets

and building new facilities

Client

Large Urban University Covering Multiple Campuses

The Big Question

Unveil the Invisible

How to reach informed decisions when lacking data and reputable resources

Learn more

Extract

The Actions

  • Actual usage/occupancy modeling of more than 4,000 spaces
  • Cross-analysis of planned and observed data collected from multiple sources (master schedules, surveys, observations, Wi-Fi connections, access cards, login data)
  • Field observations and internal interviews to validate discrepancies between data, actual usage, and user needs
  • Identification of gaps between theoretical capacity, actual occupancy, frequency of use, and projected needs
  • Drafting of optimization scenarios to assess the developement potential of existing spaces before committing to new real estate investments

The Result

A space optimization model that translates scattered data into concrete real estate decisions, in order to determine where to invest, what to redevelop, and to what extent existing assets can accommodate growth before building new infrastructure.