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Urban Transport Planning for the Digital Age

Course Overview

Traditional methods for transport planning have been widely used for the past age, however more and more transport researchers and planners have realized the shortcomings of classic methods in the digital age where historical and real-time data from various digital sources, such as GPS, smartphones, smart cards and Bluetooth sensors, are more readily available for better transport planning.

18 hrs

Book your place now

Dubai time 8:30am-11:30am (Sydney time 2:30pm-5:30pm)
3, 5, 10, 11, 17 & 18 Dec 2020

AED 5,775* (External Participants)
AED 3,150* (UOWD Student & Alumni)
*VAT 5% inclusive


Moreover, compared to traditional transport modes (e.g., bike, car, bus and train), more options (e.g., electric/autonomous/connected/shared vehicle, on-demand shuttle and e-scooter) are emerging to provide solutions to unsolved problems as well as to post new challenges in planning for their impacts on the demand for urban transport. It is however necessary to revisit the essentials of urban transport planning to understand the effective use of digital data and new technologies, and how they can be used for providing smarter mobility solutions. Especially, the COVID-19 related changes to transport have highlighted the need for innovative mobility solutions. This short course will provide transport researchers and planners with basic knowledge of transport planning process, as well as major innovations and changes at the digital age with potential to address current issues. Real case studies worldwide will be shared with audiences as references for modern urban transport planning.

Course Benefits

By the end of this course you will appreciate how:

  • Traditional methods are applied to transport planning
  • Modern technology based developments have led to change in how transport planning has been done over the last several decades
  • Trends in society, environment and technology are likely to impact mobility, transport demand changes and supply
  • Transport estimates need to reflect above changes, how transport models need to be adapted
  • Innovative approaches can improve urban mobility and reduce the overall cost

What is unique about this course?

  • You will learn more about Designing Urban Transport Planning
  • You will gain an in-depth understanding of the application of Smart Mobility and new technologies in Transport Planning
  • You will learn from real-life applications in cities around the world
  • The course is delivered by experts conducting applied research on how infrastructure and social behaviour intersect to ensure more liveable cities and regions

Who should take this course?

Transport planners, professionals in the urban transportation sector and students interested in transportation planning would find this course useful to learn about tools and methods in implementing smarter mobility solutions.

Course Type

Introductory course: introducing concepts, methods or tools to relevant students or professionals

Course prerequisite

Basic knowledge of Transport Planning and Data Analytics is preferred but not required.


Smart | UOW

This course is being delivered in conjunction with UOW SMART Infrastructure Facility, which is an international leader in applied infrastructure research helping to address the challenges of infrastructure planning and management both now and into the future.

Course Outline

The 18-hour (6 sessions, 3 hours per session) course will include:

Session 1 - Classic Transport Planning Method
  • Introduction to multi-modal transport system
  • Trip generation    
  • Trip distribution
  • Mode choice
  • Traffic assignment
  • Advantages and disadvantages of the classic 4-step method
Session 2 – Costs, Comparisons and Capacities of Transportation in Urban Areas
  • Estimating cost of urban mobility and its impact on the economy, society and the environment.
    • Cost of cars, parking, highways, off-ramps on cities, human healthy, ecological function, air quality and government revenue base;
    • Cost of high capacity transit (fast and frequent) on cities, human healthy, ecological function, air quality and government revenue base;
    • Cost of walking and cycling on cities, human healthy, ecological function, air quality and government revenue base.
  • Framework for generating solutions for sustainable transport mobility and new technologies
    • Active modes: walking, cycling, other
    • High capacity: metros, trams. LRT, commuter rail, hyperloops, maglev, buses and trackless trams. 
    • E- Mobility: e-bikes and e-scooters
    • Cars: flying, electric and autonomous 
Session 3 – Recent Innovations and Changes to Urban Transport Planning
  • Transport models - past development and future prospects 
  • Understanding trends and changes in urban transport
  • Transport innovations for improving urban liveability 
Session 4 – Modern Urban Transport Planning and post-COVID-19 Planning
  • Systems approach to reduce urban mobility cost
  • Improving economic competition of cities through efficient transport supply in post-COVID-19 context.
  • International case studies of modern urban transport planning  
  • Case Study –Different sized cities in Sri Lanka-Colombo, Kandy and Jaffna
Session 5 – Availability, Applications and Concerns of New Technologies
  • Internet of Things (IoT) and digital technologies to improve urban mobility
    • Cars – SCAT and SCOOT and new technologies  
    • Transit – GTFS, Card access, route planning software (e.g.Remix) 
    • Active Modes – Streetmix  and IoT counters 
  • Concerns with new technologies: Have we solved the fundamental ‘geometry’ of urban transportation with new big data driven technology or just created a new layer to cost effective and space efficient solutions? Might we once again predetermine an outcome for urban transport by the method used? 
  • Case Studies – Vancouver, Perth, Dubai, Buenos Aires, Stockholm and Rotterdam (or Nijmegen)
Session 6 – Vision of Future Transport
  • Urban transport - now and future
  • Case Study – The next-generation urban transport system
  • Case Study – Using smart card data to support public transport planning and operation

Course Facilitators


Dr Bo (Bobby) Du

Dr Du’s research interests focus on better understanding people’s travel behaviour and practically improving transport systems using modelling, optimisation, simulation and data analytics tools. At SMART, Dr Du is leading the Future Transport & Mobility group in transport research and projects. As the coordinator of the SMART Teaching Program, he is contributing to the development and coordination of new teaching programs within SMART, across UOW’s faculties, and beyond.

Dr Cole Hendrigan

Dr Cole Hendrigan

Dr Hendrigan received his PhD in ‘Land-use and transport integration including the process of urban land use change, transport network and capacity modelling’. Professionally, Dr Hendrigan has a decade in humanscaled public-realm design and active transport practice as a Landscape Architect. He has also lead public participation decision-making in diverse rural and urban settings with indigenous, newcomer communities and advocates while working in local governments.

Prof Amal S. Kumarage

Prof Amal S. Kumarage

Prof Amal S. Kumarage is an International Vice President and a past Chairman of the Chartered Institute of Logistics and Transport (CILT) Sri Lanka. He is a senior academic at the University of Moratuwa and International Consultant on Transport and advisor to the Government of Sri Lanka. Prof. Kumarage has been a member of the CILT family since 1990 and have enjoyed promoting the Institute as the foremost professional body for transport and logistics in Sri Lanka and as an IVP for the South Asia region.



For any inquiry please contact:
Dr Bobby Du
Coordinator of SMART Teaching Program
Tel: +61 2 4239-2270

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