Michiel Bliemer

Professor of Transport Planning and Modelling

University of Sydney

Australia

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Professor Michiel Bliemer is a faculty member in the Department of Transport Planning and Modelling at The University of Sydney, Australia. His research focuses on road pricing reforms, macroscopic network loading models, and origin-destination matrix estimation. Recent publications include studies on mobility consumption theory for road user charging and the calibration of lane-changing models, contributing significantly to the field of transportation science.

Articles (18)

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2025

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2025

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2025

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2024

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (9)

Camila Balbontin

AUSTRALIA

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Yasir Ali

Lecturer

Loughborough University

UNITED KINGDOM

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Emily Lancsar

Professor and Head of Department

Australian National University

AUSTRALIA

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Hans van Lint

Delft University of Technology

NETHERLANDS

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Joanna Coast

Professor in the Economics of Health & Care

University of Bristol

UNITED KINGDOM

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Muhammad Umair Khan

Aston University

UNITED KINGDOM

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Allister Loder

Professor of Mobility Policy

Technical University of Munich

GERMANY

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Joffre Swait

Visiting Professor of Choice Modeling

Erasmus University Rotterdam

NETHERLANDS

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Parisa Aslani

The University of Sydney School of Pharmacy

AUSTRALIA

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Michiel Bliemer

Research Interests

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About

Articles (18)

Ready for road pricing reform? Identifying segments of support in Australia and uncovering (Hidden) attitudes

A systematic review of node models for macroscopic network loading of traffic flows

Extended macroscopic node model for multilane traffic

A novel mobility consumption theory for road user charging

Data driven origin–destination matrix estimation on large networks—A joint origin–destination-path-choice formulation

Modelling speed reduction behaviour on variable speed limit-controlled highways considering surrounding traffic pressure: A random parameters duration modelling approach

Calibrating lane-changing models: Two data-related issues and a general method to extract appropriate data

Comparison of a full and partial choice set design in a labeled discrete choice experiment

General solution scheme for the static link transmission model

Towards Accurate Prediction of Healthcare Choices: The INTERSOCIAL Project.

Eliciting preferences for continuing medication among adult patients and parents of children with attention‐deficit hyperactivity disorder

Applications of discrete choice experiments in COVID-19 research: Disparity in survey qualities between health and transport fields

Consumer preferences for innovative and traditional last-mile parcel delivery

Emerging trends and influential outsiders of transportation science

Examining braking behaviour during failed lane-changing attempts in a simulated connected environment with driving aids

Optimal pricing and investment in a multi-modal city — Introducing a macroscopic network design problem based on the MFD

Predicting and explaining lane-changing behaviour using machine learning: A comparative study

Special issue on dynamic transportation network modelling, emerging technologies, data analytics and methodology innovations

Collaborators (9)

Camila Balbontin

Yasir Ali

Emily Lancsar

Hans van Lint

Joanna Coast

Muhammad Umair Khan

Allister Loder

Joffre Swait

Parisa Aslani

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