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Published: 04 Apr 2022 634 views
In large metropolitan areas, public transport provides mobility and access to travellers to reach important activity locations. Recently, there has been considerable interest in measuring and improving public transport access, particularly among underserved and mobility-disadvantaged groups. At the same time, public transport agencies have gained access to data sources describing who is using their system, how they are travelling in the network, and what factors influence their satisfaction. In a complementary way, transit agencies also are gaining considerable data on their operational performance, measuring the level of service both for operators and for travellers.
This project seeks to explore new methods for public transport operations planning and management. Most critically, these new methods will consider the growing number of sources of public transport and transport system data: passenger ticketing data, customer satisfaction data, other traveller surveys, transit service plans, vehicle tracking data, and passenger load data. Such large and diverse data sources require both systematic analysis as well as more advanced data mining techniques to to assess whether public transport is best serving community objectives.
In a complementary manner, these data provide useful insights into public transport operations planning and management. Transit agencies can use data on both traveller movements and vehicle movements to more efficiently plan their routes, frequencies, timetables, and vehicle and crew schedules to meet service quality objectives. Moreover, scenarios can be used to test different operations management strategies to improve real-time performance and travellers' perceptions of the service. Such planning and operations management can benefit from the use of optimisation methods as well as scenario-based modelling to enhance existing management tools.
The University of Queensland (UQ) is one of Australia’s leading research and teaching institutions. We strive for excellence through the creation, preservation, transfer and application of knowledge. For more than a century, we have educated and worked with outstanding people to deliver knowledge leadership for a better world.
| Application Deadline | 04 Apr 2022 |
| Type | Postgraduate |
| Sponsor | The University of Queensland |
| Gender | Men and Women |
$28,854 per annum (2022 rate), indexed annually
Your application will be assessed on a competitive basis.
We take into account your:
A working knowledge of public transport systems, data analysis for large data sets and optimisation methods would be of benefit to someone working on this project.
You will demonstrate academic achievement in the field/s of transport engineering, transport planning, systems engineering, or a related field and the potential for scholastic success.
A background or knowledge of transport systems, data analysis and data mining, optimisation methods and scenario-based modelling is highly desirable.
Before submitting an application you should:
You apply for this scholarship when you submit an application for a Doctor of Philosophy (PhD). You don't need to submit a separate scholarship application.
When you apply, please ensure that under the scholarships and collaborative study section you:
For more details, visit UQ website.