Recently Published

A Complex Network Methodology for Travel Demand Model Evaluation and Validation

Networks and Spatial Economics 
​https://doi.org/10.1007/s11067-018-9397-y
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Abstract. Travel demand can be viewed as a weighted and directed graph where nodes are the origins and destinations and links represent the trips between nodes. This paper presents a network-theoretic methodology to evaluate and validate travel demand models. We apply the proposed method on three disaggregate travel demand models from Melbourne, Australia. Statistical properties of the modeled networks are compared against the observed networks over time. The new approach reveals the network structure and connectivity of the modeled trips that are not usually captured by traditional evaluation and validation methods. Results demonstrate the complexity involved in the development, evaluation, and validation of travel demand models, which calls for advanced evaluation techniques reflecting a wide range of attributes of the observed and modeled data, travelers, mobility patterns, and complex network characteristics.

Urban data visualization, analytics,
​modeling, and simulation

SELECTED PROJECTS

Large-Scale Dynamic Transportation Network Modeling
We develop advanced dynamic models of large-scale networks, specifically simulation-based dynamic traffic assignment with advanced features such as road pricing and perimeter control.
Changing Melbourne 2.0
Changing Melbourne 2.0 uses visual analytics to demonstrate how socio-demographic characteristics of Melbourne are changing over time using data from ABS Census 2006 and 2011.
Melbourne Pedestrian Activities and Safety
800,000 people moving around Melbourne everyday. This project provides insights into the spatial-temporal distribution of pedestrian activities and crashes in Melbourne.
Melbourne Congestion Pricing
This project builds modeling tools to evaluate the impact of different congestion pricing schemes on Melbourne network traffic to inform transport pricing policies.
Melbourne Bike Crash Map
In this project, we visualize 5 years' worth of bicycle crashes combined with the Strava Global Heatmap to provide insights into bicycle safety in Melbourne.
Places by Metro
​Places by Metro is an interactive application reinventing public transport users experience, connecting businesses to travelers across Melbourne.
This project aims to develop a new model to measure housing and transport affordability in Australia, with greater Melbourne selected as the pilot study area.
Large scale demand for travel between origins and destinations in a city can be visualized and analyzed as a complex network.
The map visualizes the spatial distribution of Average Daily Truck Traffic (ADTT) in Melbourne in 2012. 
To learn more about our ongoing and completed projects, please visit the Research page.

PhD Positions

We are continuously​ looking for talented and young students to join our research group to do a PhD in Transportation. UNSW offers postgraduate research scholarships to competitive applicants covering tuition fees and an annual stipend of $27,082 plus a possible top up and conference travel grant. If you are interested, please email us your resume.

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