No open-access location is known for this record yet.
No open-access location is known for this record yet.
Recently there has been renewed interest in alternative modelling approaches, driven by recognised deficiencies in the traditional four step model. One stream of development has come through improved modelling of individual and household travel scheduling and joint decision making, under the umbrella of tour-based and activity-based modelling. Another stream of development has been improved approaches to discrete choice modelling, and the incorporation of more complex random utility model (RUM) formulations, such as mixed logit. In this paper we present a new multi-modal transport model structure which incorporates many of the elements of these recent developments, but within a formulation that overcomes many of the obstacles associated with moving away from traditional models. In particular, we show that the new 4S model is very computationally efficient, and is extremely flexible and extensible, while having similar data requirements to traditional models. The model uses Monte-Carlo simulation with a unified trip generation, destination, mode, route and time-of-day choice. It allows for detailed behavioural modelling including; cycling end of trip facilities, multi-modal freight, road pricing and public transport congestion. We describe the structure of the model and discuss the theory behind it. We then give examples of the application of the model to recent projects in South East Queensland and demonstrate the new types of analysis that can be done with the model. We also demonstrate the efficiency of the model by describing its practical application to the whole of Queensland at the lot-level, and the whole of Australia at the collector-road level.
Loading…
Stored only when both papers are in the corpus — 4 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.