Urbanism
Urban and Flow Simulations
Digital twins and simulation models provide a structured way to explore how people, assets, rules and infrastructure interact over time.
Decision support
Test strategies in a digital representation before changing the real system.
A useful model represents the parts of a system that matter to the decision: people or vehicles, spaces, processes, resources, rules and constraints. Behaviour is calibrated against available observations and explicit assumptions.
Scenarios can then vary demand, policy, capacity or timing. Results reveal patterns and trade-offs; they do not remove uncertainty or replace professional judgement.
01
Observe
Data and behaviour
02
Represent
Entities and rules
03
Calibrate
Compare with reality
04
Experiment
Run scenarios
05
Decide
Strategy and validation
Questions the model can support
Make interactions and consequences easier to compare.
Movement and waiting
Compare routes, queues, dwell times and points where flows interfere.
Capacity and resources
Explore how people, spaces and services respond under changing demand.
Policy scenarios
Test assumptions, thresholds and phased interventions before committing.
Resilience
Observe how a system responds when conditions, behaviour or availability change.
Responsible modelling
Every result needs context.
Scope
Model only the detail required for the decision.
Assumptions
Record what is known, estimated or intentionally simplified.
Ranges
Compare scenarios and sensitivity, not a single deterministic answer.
Validation
Check model behaviour against observations and stakeholder knowledge.
Next step
Frame the policy or flow question.
We can help define the system boundary, evidence needs and scenarios before a model is built.