PhD to Policy: How Research Can Transform Traffic and Transport

This episode is in partnership with the Institute of Transport and Logistics Studies (ITLS) Board of Advice

Xiaolin Gong is a recent PhD graduate from the Institute of Transport and Logistics Studies (ITLS). Her research focuses on transport modelling, specifically developing a novel macroscopic transport model to improve the efficiency of transport networks. Xiaolin has additional interests in travel behaviour analysis, machine learning, and data analytics. She also brings industry experience from her time at BMW in Germany.

What you’ll learn:

• About Xiaolin’s research and it’s application to transport modelling

• What are ‘macroscopic’ approaches to transport modelling

• About the ITLS Board of Advice, and Xiaolin’s experience as a young professional

• Advice for those considering a PhD in transport and logistics studies

Quotes:

"Being on the Board of Advice for the Institute of Transport and Logistics Studies exposed me to high-level decision-making early in my career."

"If you're considering a PhD in transport and logistics, my advice would be to focus on something with real-world applications—you'll find it rewarding in the long run."​

"It's good when research leads to practical improvements that governments and organizations can apply to real-world problems."​

Links:

Byte Size on Apple Podcasts

Xiaolin’s Research profile, including a pre-print of her PhD

Connect:

Connect with Xiaolin on Linkedin

Connect with Emily via email: emily@compassiot.com.au

Connect with Byte Size via LinkedIn

Connect with Compass IoT (the producer of this podcast) via our website

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