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Impact of on-street and off-street parking on traffic congestion in high-density urban areas

Study level

PhD

Master of Philosophy

Faculty/Lead unit

Science and Engineering Faculty

School of Civil Engineering and Built Environment

Topic status

We're looking for students to study this topic.

Supervisors

Dr Behrang Assemi
Position
Postdoctoral Research Fellow
Division / Faculty
Science and Engineering Faculty
Professor Douglas Baker
Position
Professor
Division / Faculty
Science and Engineering Faculty

Overview

One of the potential benefits of parking reforms is the reduction of congestion in city streets due to the reduction of circulation caused by motorists searching for parking. However, there is minimal evidence in Australia and around the world to support this hypothesis.

This project aims to improve the body of knowledge on congestion caused by circulation looking for parking within high-density urban areas.

Data from driver surveys, traffic sensors and parking transactions will be used to determine the percentage of vehicles that are circulating looking for parking and to identify the factors of influence on drivers’ decision-making of cruising for parking and cruising period.

Research activities

You will meet regularly with your supervisors to acquire new knowledge, brainstorm ideas, discuss your progress and receive direction on future work.

This project will involve developing conducting surveys, data manipulation and analysis, statistical analysis (especially choice modelling), traffic simulation and communicating your work in written and oral forms.

Outcomes

You will develop new skills in statistical modelling, traffic simulation, reproducible research and literate programming.

If you are a masters or a PhD student you will be expected to present your work at select international conferences and your findings will be published in scientific journals.

Skills and experience

This project can be tailored to you if you are either a masters or PhD student and can be personalised to suit your individual interests and skills.

Some proficiency in R/Python, multivariate statistical analysis and statistical model development is assumed.

Scholarships

You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round

Keywords

Contact

Contact the supervisor for more information.