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Professor Mark Hickman
Professor

Mark Hickman

Email: 
Phone: 
+61 7 336 53692

Overview

Background

Dr. Mark Hickman is the TAP Chair and Professor of Transport Engineering within the School of Civil Engineering at the University of Queensland. Prof. Hickman has taught courses and performed research in public transit planning and operations, travel demand modelling, and traffic engineering. His areas of research interest and expertise include public transit planning and operations, urban transportation planning and modelling, and the development of sustainable transport innovations and policies.

Availability

Professor Mark Hickman is:
Available for supervision
Media expert

Qualifications

  • Bachelor of Science, Massachusetts Institute of Technology
  • Masters (Coursework) of Science, Massachusetts Institute of Technology
  • Doctor of Philosophy, Massachusetts Institute of Technology

Research interests

  • Public transport

    Operations and service planning of public transport services

  • Travel modelling

    Modelling of transport systems, transport supply and demand, traveller behaviour

  • Sustainable transport engineering

    Transport engineering methods to reduce greenhouse gas emissions and energy use, while also improving transport safety and efficiency

Works

Search Professor Mark Hickman’s works on UQ eSpace

146 works between 1995 and 2025

41 - 60 of 146 works

2018

Conference Publication

Identification of control group sites with spatial clustering in bus rapid transit infrastructure projects

Pyrohova, Svitlana, Hickman, Mark, Bertolaccini, Kelly and Turrell, Gavin (2018). Identification of control group sites with spatial clustering in bus rapid transit infrastructure projects. Transportation Research Board 2018 Annual Meeting , Washington DC, United States, 7-11 January 2018.

Identification of control group sites with spatial clustering in bus rapid transit infrastructure projects

2018

Conference Publication

A Time Series analysis of periodic heavy vehicle inspections and road safety outcomes in Queensland

Assemi, Behrang and Hickman, Mark (2018). A Time Series analysis of periodic heavy vehicle inspections and road safety outcomes in Queensland. Australian Road Safety Conference (ARSC), Sydney, NSW, Australia, 3-5 October 2018.

A Time Series analysis of periodic heavy vehicle inspections and road safety outcomes in Queensland

2018

Journal Article

Developing a fault prediction model for wired copper networks under precipitation

Moghaddam, Mahboobeh, Nejad, Hamid Shobeiri, Mesbah, Mahmoud and Hickman, Mark (2018). Developing a fault prediction model for wired copper networks under precipitation. International Journal of Critical Infrastructures, 14 (3), 268-293. doi: 10.1504/ijcis.2018.094412

Developing a fault prediction model for wired copper networks under precipitation

2018

Conference Publication

Balancing computational requirements with performance in model predictive traffic control

Stebbins, Simon, Hickman, Mark, Kim, Jiwon and Vu, Hai (2018). Balancing computational requirements with performance in model predictive traffic control. Transportation Research Board Annual Meeting, Washington, DC, United States, 7-11 January 2018.

Balancing computational requirements with performance in model predictive traffic control

2018

Conference Publication

A Cooperative Model of Inland Container Transportation

Irannezhad, Elnaz, Prato, Carlo G. and Hickman, Mark (2018). A Cooperative Model of Inland Container Transportation. Transportation Research Board Annual Meeting 2018, Washington, DC United States, 7-11 January 2018. Transportation Research Board.

A Cooperative Model of Inland Container Transportation

2018

Book Chapter

Choice of using distribution centers in the container import chain: a hybrid model correcting for missing information

Irannezhad, Elnaz, Prato, Carlo G. and Hickman, Mark (2018). Choice of using distribution centers in the container import chain: a hybrid model correcting for missing information. City logistics 3: towards sustainable and liveable cities. (pp. 269-281) edited by Eiichi Taniguchi and Russell G. Thompson. London, United Kingdom and Hoboken, NJ, USA : ISTE and Wiley. doi: 10.1002/9781119425472.ch15

Choice of using distribution centers in the container import chain: a hybrid model correcting for missing information

2017

Journal Article

A joint hybrid model of the choices of container terminals and of dwell time

Irannezhad, Elnaz, Prato, Carlo G. and Hickman, Mark (2017). A joint hybrid model of the choices of container terminals and of dwell time. Transportation Research Part E: Logistics and Transportation Review, 121, 119-133. doi: 10.1016/j.tre.2017.12.005

A joint hybrid model of the choices of container terminals and of dwell time

2017

Journal Article

To travel or not to travel: ‘Weather’ is the question. Modelling the effect of local weather conditions on bus ridership

Tao, Sui, Corcoran, Jonathan, Rowe, Francisco and Hickman, Mark (2017). To travel or not to travel: ‘Weather’ is the question. Modelling the effect of local weather conditions on bus ridership. Transportation Research Part C: Emerging Technologies, 86, 147-167. doi: 10.1016/j.trc.2017.11.005

To travel or not to travel: ‘Weather’ is the question. Modelling the effect of local weather conditions on bus ridership

2017

Journal Article

Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation

Stebbins, Simon, Hickman, Mark, Kim, Jiwon and Vu, Hai L. (2017). Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation. Transportation Research Part C: Emerging Technologies, 82, 43-62. doi: 10.1016/j.trc.2017.06.014

Characterising Green Light Optimal Speed Advisory trajectories for platoon-based optimisation

2017

Journal Article

Park-and-ride lot choice model using random utility maximization and random regret minimization

Sharma, Bibhuti , Hickman, Mark and Nassir, Neema (2017). Park-and-ride lot choice model using random utility maximization and random regret minimization. Transportation, 46 (1), 1-16. doi: 10.1007/s11116-017-9804-0

Park-and-ride lot choice model using random utility maximization and random regret minimization

2017

Conference Publication

Land use change at the station areas of Bus Rapid Transit: A case study of Brisbane

Pyrohova, Svitlana, Hickman, Mark and Bertolaccini, Kelly (2017). Land use change at the station areas of Bus Rapid Transit: A case study of Brisbane. World Society for Transport and Land Use Research, Brisbane, QLD, Australia, 3-6 July 2017.

Land use change at the station areas of Bus Rapid Transit: A case study of Brisbane

2017

Journal Article

Exploring factors affecting demand for possible future intercity transit options

Ranjbari, Andisheh, Chiu, Yi-Chang and Hickman, Mark (2017). Exploring factors affecting demand for possible future intercity transit options. Public Transport, 9 (1-2), 463-481. doi: 10.1007/s12469-017-0161-3

Exploring factors affecting demand for possible future intercity transit options

2017

Journal Article

The threat from inside

Hickman, Mark (2017). The threat from inside. Network Security, 2017 (4), 18-19. doi: 10.1016/S1353-4858(17)30040-5

The threat from inside

2017

Journal Article

Determining route-choice behaviour of public transport passengers using Bayesian statistical inference

Rahbar, Mohadeseh , Mesbah, Mahmoud, Hickman, Mark and Tavassoli, Ahmad (2017). Determining route-choice behaviour of public transport passengers using Bayesian statistical inference. Road and Transport Research Journal, 26 (1), 64-72.

Determining route-choice behaviour of public transport passengers using Bayesian statistical inference

2017

Conference Publication

The choice of using distribution centers in the container import chain: a hybrid model correcting for missing information

Irannezhad, Elnaz, Prato, Carlo and Hickman, Mark (2017). The choice of using distribution centers in the container import chain: a hybrid model correcting for missing information. International Conference on City Logistics, Phuket, Thailand, 14-16 June 2017.

The choice of using distribution centers in the container import chain: a hybrid model correcting for missing information

2017

Conference Publication

Airport employees ground accessibility: review and assessment

Pasha, Md Mosabbir and Hickman, Mark (2017). Airport employees ground accessibility: review and assessment. 39th Australasian Transport Research Forum, ATRF 2017, Auckland, New Zealand, 27-29 November 2017. Canberra, Australia: ATRF, Commonwealth of Australia.

Airport employees ground accessibility: review and assessment

2017

Conference Publication

Considering the impact of precipitation on the accuracy of delay-function parameters

Bagherian, Mehdi, Hickman, Mark and Tavassoli, Ahmad (2017). Considering the impact of precipitation on the accuracy of delay-function parameters. 39th Australasian Transport Research Forum, ATRF 2017, Auckland, New Zealand, 27 - 29 November 2017. Canberra, Australia: ATRF, Commonwealth of Australia.

Considering the impact of precipitation on the accuracy of delay-function parameters

2017

Conference Publication

A copula-based joint discrete-continuous model of road vehicle type and shipment size

Irannezhad, Elnaz, Prato, Carlo, Hickman, Mark and Mohaymany, Afshin Shariat (2017). A copula-based joint discrete-continuous model of road vehicle type and shipment size. Annual Meeting Transportation Research Board, Washington, DC, United States, 8-12 January 2017. Washing, DC, United States: Transportation Research Board.

A copula-based joint discrete-continuous model of road vehicle type and shipment size

2017

Conference Publication

Balancing computational requirements with performance in model predictive traffic control

Stebbins, Simon, Hickman, Mark, Kim, Jiwon and Vu, Hai L. (2017). Balancing computational requirements with performance in model predictive traffic control. ATRF 2017 - Australasian Transport Research Forum 2017, Auckland, New Zealand, 27 - 29 November 2017. Canberra ACT Australia: ATRF, Commonwealth of Australia.

Balancing computational requirements with performance in model predictive traffic control

2017

Conference Publication

Can Smartphone Travel Surveys Improve our Understanding of Young People’s Travel Behaviour?

Assemi, Behrang , Mesbah, Mahmoud and Hickman, Mark (2017). Can Smartphone Travel Surveys Improve our Understanding of Young People’s Travel Behaviour?. International Conference on Transport Survey Methods (ISCTSC 2017), Quebec Canada, 24-29 September 2017.

Can Smartphone Travel Surveys Improve our Understanding of Young People’s Travel Behaviour?

Funding

Current funding

  • 2024 - 2026
    Mobility Landscapes, Mobility as a Service customer impact trial
    iMove Cooperative Research Centre
    Open grant
  • 2023 - 2026
    Modelling impacts of natural hazards on interconnected infrastructure networks
    Natural Hazards Research Australia
    Open grant

Past funding

  • 2022 - 2024
    Framework and Conceptual Solution for Integrating Road Network Operations Planning into Real-time Traffic Management
    iMove Cooperative Research Centre
    Open grant
  • 2022 - 2024
    DynaMix-FM, dynamic mixed reality environment for future mobility (ARC LIEF application led by Queensland University of Technology)
    Queensland University of Technology
    Open grant
  • 2022 - 2023
    Emissions and economic modelling of road and rail freight in NSW
    iMove Cooperative Research Centre
    Open grant
  • 2021 - 2023
    Study into the impact of Mobility as a Service trials on Public Transport Usage
    Transport Academic Partnership (TAP) Sourcing Strategy
    Open grant
  • 2021
    Developing a low and zero emission transport strategy for Australia
    iMove Cooperative Research Centre
    Open grant
  • 2020 - 2023
    Australian Transport Research Cloud (ATRC) Platform
    University of Melbourne
    Open grant
  • 2020 - 2025
    Transport Academic Partnership 2020-2025
    Queensland Department of Transport and Main Roads
    Open grant
  • 2020 - 2025
    Transport Innovation and Research Hub
    Brisbane City Council
    Open grant
  • 2020 - 2024
    Odin Pass: A Mobility-as-a-Service (MaaS) Trial at UQ St Lucia
    iMove Cooperative Research Centre
    Open grant
  • 2019 - 2024
    Real-time Analytics on Urban Trajectory Data for Road Traffic Management
    ARC Linkage Projects
    Open grant
  • 2018 - 2021
    Parking Management in an Australian Urban Centre (iMove CRC project led by Brisbane City Council)
    Brisbane City Council
    Open grant
  • 2015 - 2020
    Transport Academic Partnership 2015-2020 (ASTRA Chair of Transport)
    Queensland Department of Transport and Main Roads
    Open grant
  • 2015 - 2016
    Short-term demand prediction tool development
    UniQuest Pty Ltd
    Open grant
  • 2014 - 2016
    North West Channel Trial Dredging Project
    UniQuest Pty Ltd
    Open grant

Supervision

Availability

Professor Mark Hickman is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Methods for Public Transport Operations Planning and Management

    Principal Advisor

    Other advisors: Associate Professor Jiwon Kim

  • Doctor Philosophy

    Equitable policies for a just transition to electric vehicle fleets: Exploring market mechanisms and revenue-based targets for full electrification of ride-hailing and delivery services in Delhi by 2030

    Principal Advisor

  • Doctor Philosophy

    Methods for siting low and zero emission vehicle refueling infrastructure

    Principal Advisor

  • Doctor Philosophy

    Crash Data Analytics Based Roadside Risk Modelling Oriented Towards Practical Roadside and Associated Road Geometric Design Using Machine Learning

    Principal Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    An efficient traffic modelling framework for large-scale networks

    Associate Advisor

    Other advisors: Dr Mehmet Yildirimoglu

Completed supervision

Media

Enquiries

Contact Professor Mark Hickman directly for media enquiries about:

  • Public transport
  • Traffic engineering
  • Transport planning

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au