Optimal design and allocation of micromobility infrastructure in urban networks

While micromobility can play a key role in reducing car dependence and emissions, cities face major challenges in determining where and how to allocate limited network space to support these modes safely and efficiently. Decisions regarding the placement, extent, and type of micromobility infrastructure involve complex trade-offs between safety, efficiency, equity, and overall network performance.

You will focus on the optimal allocation and design of micromobility networks using optimisation-based and simulation-driven decision-support tools. By drawing on advanced data analytics, intelligent modelling approaches, and simulation-based analysis, you will formulate network design and allocation problems that explicitly account for interactions between micromobility, motorised traffic, and public transport, as well as policy constraints and safety objectives. 

The research environment that you will be working in is rapidly growing into one of the lstrongest international transport research groups.  In the latest QS Shanghai rankings, UQ is now listed between 51-75 in the world in the field of “Transportation Science & Technology”. The expertise brought from the existing projects (ARC Discovery, ARC Linkage, ARC DECRA, iMOVE CRC) will provide the candidate with the opportunity to prosper in their research. 

The group benefits from access to extensive real-world mobility datasets and a broad range of traffic and transport analysis software through the Intelligent Transportation Systems Research Lab within the School. The group’s strong collaborative relationship with the transport industry and government agencies also provides HDR students with valuable opportunities to engage closely with practitioners to gain real-world insights and to participate in industry placements for professional development.

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

Your application will be assessed on a competitive basis.

We take into account your:

• previous academic record
• publication record
• honours and awards
• employment history.

A background or knowledge of transport engineering and data science is highly desirable.

You must submit an expression of interest (EOI) by 28 February, 2026 28 February, 2026.

Before you apply

1. Check your eligibility for the Doctor of Philosophy (PhD).
2. Prepare your documentation.
3. If you have any questions about whether the project is suitable for your research interests, contact A/Prof Mehmet Yildirimoglu (m.yildirimoglu@uq.edu.au).

When you apply

To apply, submit an expression of interest (EOI) for the program. You don't need to apply separately for the project or scholarship. How to submit an EOI

In your EOI, complete the ‘Scholarship/Sponsorship’ section with the following details:

1. Are you applying for an advertised project: 'Yes'
2. Project: 'Research project scholarship'
3. Scholarship Code Listed in the Advertisement: URBANNETWORKS-YILDIRIMOGLU
4. Link to Scholarship Advertisement: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/optimal-design-and-allocation-micromobility-infrastructure-urban-networks

Submit an EOI