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Empirical evidence of habits and patterns in public transport use

Demand for public transport systems is determined by high-level strategic decisions (home and work location choices), habits (preferred routes and modes) and real-time response more...

Supervisor(s): Moylan, Emily (Dr)

Impact of planned and unplanned incidents on travel time variability

A variety of planned and unplanned incidents contribute to journey time variability. Their expected impact on performance is determined by attributes of the incident (time of occurr more...

Supervisor(s): Moylan, Emily (Dr)

Travel Behaviour Over Time

The Bureau of Transport Statistics of Transport for NSW has conducted an annual Household Travel Survey since 1997 and historically in 1991 and 1981 as a Home Interview Survey. This more...

Supervisor(s): Levinson, David (Professor)

A modal comparison of resiliency and reliability

Reliability and resilience capture a transport network’s ability to provide consistent accessibility under a range of conditions. Resilience is impacted by the structure of th more...

Supervisor(s): Moylan, Emily (Dr)

How do travellers think about reliability?

There is increasing recognition of the value of reliability in the transport system. Better data availability makes it possible to measure variability and infer its importance throu more...

Supervisor(s): Moylan, Emily (Dr)

Simulating Transport for Realistic Engineering Education and Training

Understanding and predicting travel demand and travel patterns is one of the most important
but also most challenging tasks of transport
engineers, planners, and geographers. Tr more...

Supervisor(s): Levinson, David (Professor), Ramezani Ghalenoei, Mohsen (Dr)

Technological Change and the Future of Cities

Many transport analysts envision a forward-looking, ambitious and disruptive cloud commuting-based transport system for future smart cities based on emerging connected, autonomous v more...

Supervisor(s): Levinson, David (Professor)