TransPosition has developed a new modelling approach that overcomes many of the deficiencies of the traditional four
step transport model, particularly with respect to modelling non-car modes and behaviour change—the Segmented Stochastic
Slice Simulation Model (4S Model).
It uses Monte-Carlo simulation within a random-utility framework to produce a series of samples of travel behaviour. The
model simultaneously considers when and whether travel will occur (induced/suppressed demand), destination choice, time
of travel, mode choice and route choice. These choices are assessed within the context of a complete multi-modal
network, with time-dependent congestion and full timetabled public transport. The route selection allows any
combinations of mode, including complexities like: taking bikes onto public transport; chauffeuring; and using CBD
public transport loops to travel from car parks to the destination. The behavioural sophistication is particularly
important for mode choice and toll/pricing sensitivity, where variations in people’s value of time determine much of the
response. High Resolution The model uses a very detailed description of the network and land-use; the network includes
all roads, PT services and walk/cycle paths. It does not use traffic zones – all population and activities are located
directly onto the transport network. It can use CD, zonal or lot-level data, such as the lot level population and
employment forecasts being developed for Brisbane as part of the Brisbane Urban Growth Model.
Practical + Efficient
As the process consists of a series of samples, a trade-off can be made between running time and precision of results;
less precise results can be generated very quickly by simply reducing the number of samples. To generate more precise
results, the number of samples can be increased. Reasonable results can be obtained in under an hour, even with complete
road and public transport networks for South East Queensland.
The congestion model includes time-varying delays and public transport capacity constraints. Under development are
simplified trip chaining, and full journey modelling (including the characteristics of the return trip when making
decisions). The model is implemented in custom-developed software with strong links to GIS and spatial databases. The
early applications of the approach have been for Brisbane City Council (for a number of projects, including the Brisbane
Urban Growth Model and Community Facilities Planning) and for the Toowoomba Regional Transport Study.
Key Benefits of 4S Model
- Very detailed– spatially and behaviourally
- Operates at the level necessary to consider walking, cycling and public transport
- Integrated approach for toll/pricing sensitivity
- Gives answers quickly—under an hour (not over 24h like complex 4 step models)
- Sensitive to time of day, PT congestion