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Form analysis 1 forms found in the DOM

<form action="" id="formula">
  <p>Average number of people in office <br>
    <span class="label"><span class="minus">−</span><input type="number" min="1" name="a" step="1" value="1"><span class="plus">+</span></span>
  </p>
  <p>Cost for empty workstation (£ per day)<br>
    <span class="label"><span class="minus">−</span><input type="number" min="0" name="b" step="0.01" value="1"><span class="plus">+</span></span>
  </p>
  <p>Cost for employee with no workstation (£ per day)<br>
    <span class="label"><span class="minus">−</span><input type="number" min="0" name="c" step="0.01" value="1"><span class="plus">+</span></span>
  </p>
  <p>Demand volatility: <br><span class="rangeOut">very low</span> <br>
    <input type="range" class="range" name="d" min="0" max="12" step="4" data-true-val="0.1" value="0">
  </p>
  <p><button type="submit">Calculate</button></p>
</form>

Text Content

CAR A-SS

CAR Activity-Space Simulation

CAR Activity-Space Simulation has developed quick and versatile simulation
methods to explore ‘what-if’ scenarios for change.

Whether your space is under-occupied, over-used, or growth or contraction is
predicted we can help. It may be that you are uncertain about the future needs
for space, or you would like to increase staff interaction and general
satisfaction, or you’d like to respond to new and flexible ways of working.
Finally it may be that your motivations are entirely financial from a desire to
save money to your lease being up for renewal.

Gathering current data is always the first stage and is relatively
straightforward. It’s knowing how to analyse this data, and more importantly how
to simulate different scenarios for change, that adds real value and allows you
to see around the corner.

Activity-Space Simulation is an initiative of CAR.

Process

1. Data

Every systematic study of the workplace needs data about what is happening now.
Many occupiers hold valuable data but do not use it – this is the first data
resource. New data collection should always have well-defined objectives.

Find out more

Access card records

Most offices have an access control system that collects detailed and quantified
data about office occupancy. Amazingly, this highly valuable data source is
rarely exploited.

Computer log-ins

The record of computer log-ins to the office network provides valuable data
about who works where and when.

HR Records

HR records can be used to classify building users and enhance the explanatory
power of workplace data.

Electronic monitoring

Dedicated activity monitoring systems can be installed, but they require careful
evaluation as they are expensive and sometimes unreliable.

Questionnaire surveys

Questionnaires investigate user perceptions and values, but must be carefully
focused. Much of the questionnaire data that is expensively collected is never
used.

Observational surveys

Human observers can be an efficient way of collecting data that is missed by
electronic monitoring and questionnaires.

Find out less

2. Analytics

Raw data is a vital resource, but it has little value until unlocked by analysis
and interpretation.

Find out more

Benchmarking

If comparable data is collected, one office’s performance statistics can be
compared with others, to indicate the current state of activity-space management

Utilisation

Utilisation measures the intensity of use in an office, but utilisation values
depend on many factors and can be misleading.

Volatility

The efficient scale of workspace provision is determined by the volatility of
demand, not average demand.

Behavioural analysis

The explanatory power of questionnaire data comes from statistical correlations
between attitudes and behaviour.

Monitored data analysis

Large quantities of monitored data can provide usable information through the
identification of statistical regularities.

Find out less

3. Simulation

Data and Analytics are locked into the status quo, but managers are concerned
with the future: they want to explore and evaluate alternative future scenarios.
This requires Activity-Space Simulation.

Find out more

Occupancy simulation

From data about average demand and volatility, CAR’s tool ST simulates the peaks
and troughs of workplace occupancy.

Capacity optimisation

Yield management analysis estimates the optimum workspace capacity from cost
data for workstations and staff.

Managing shared workspace

Managers believe that workspace sharing is incompatible with employee desk
preferences – but this is false: simulation shows that you can have BOTH
workspace sharing and desk preferences.

Growth and shrinkage options

The cost and value of growth and shrinkage options are evaluated using real
options analysis.

Interaction modelling

Interaction depends on simultaneous co-presence, which is modelled for workplace
settings and workstyles.

Flexibility modelling

Scenario projections establish the cost-effective level of investment in
strategies for flexibility.

Find out less

Team


WILLIAM

MA PhD RIBA
william.fawcett@carltd.com

William Fawcett is an architect with experience in practice, consultancy,
research and teaching.

His PhD at the University of Cambridge Department of Architecture was on
measuring the adaptability of buildings.

He was one of the co-founders of Cambridge Architectural Research in 1987.

His major interest is in functional issues – how well buildings work and how
their users perceive them. Design for flexibility is a particular interest. He
has been project leader for CAR’s Activity-Space Simulation projects.

William was appointed as Chadwick Fellow in Architecture at Pembroke College,
Cambridge (2005-10), to develop the Activity-Space Research initiative – see the
book Activity-Space Research.

With colleagues at CAR he developed a new approach to whole-life costing for
construction, described in the book New Generation Whole-life Costing.


STEPHEN

BA MSc PhD
stephen.platt@carltd.co.uk

Stephen Platt is a social scientist who has worked on all aspects of design and
the built environment from industrial design to regional planning. His main
interest is in people and design.

He has been a director of Cambridge Architectural Research since 1990 and served
as Chairman from 2001 to 2015.

In CAR’s Activity-Space Simulation projects Steve has led the occupant
consultation/engagement components, using interviews, focus groups,
questionnaires and observation.


MARTIN

BSc PhD


Martin Hughes is an applied mathematician with a special interest in modelling
and optimisation in complex systems.

He has worked on data analysis and modelling for CAR’s Activity-Space Simulation
projects for commercial offices and universities, as well as developing
algorithms for CAR projects on probabilistic life-cycle costing.


SOTIRIA

BA MA


Sotiria Zafeiriou gained undergraduate and masters degrees in geography at
Harokopio University of Athens, with an in-course placement at the Royal
Institute of Technology, Stockholm. She took a masters at the Catholic
University of Leuven, Belgium.

Sotiria is now based in the UK and has worked as a research assistant on CAR
projects since 2015.

Play


OPTIMUM CAPACITY

Activity-Space Simulation uses yield management concepts to calculate the
optimum number of workspaces in an office with variable demand. Try it out! –
discover how dramatically the cost factors and volatility of demand affect the
optimum capacity.

Average number of people in office
−+

Cost for empty workstation (£ per day)
−+

Cost for employee with no workstation (£ per day)
−+

Demand volatility:
very low


Calculate

This example uses simplifying assumptions and is not valid for management
decisions. To customise the model for your own workplace, contact CAR
Activity-Space Simulation

Contact

If you are interested in any of the services we can offer, please get in touch
using the details below.

Cambridge
Architectural
Research Ltd
25 Gwydir Street #6
Cambridge
CB1 2LG

01223 460475
william.fawcett@carltd.com
www.carltd.com

Design by The District

Optimum number of workstations: Optimum daily utilisation: %



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