BTE SCU, MIT Sydney
Senior Research Analyst
H73 - 378 Abercrombie Street
The University of Sydney
NSW 2006 Australia
|Telephone||+61 2 9114 1887|
|Fax||+61 2 9114 1863|
After completing her Master of Information Technology at the University of Sydney, Wen worked for ITLS and joined Professor Peter Stopher's team in February 2009, as a Research Analyst in GPS related research projects, responsible for testing GPS devices, map editing, geo-coding, data validation and household travel behaviour data analysis.
In January 2011, Wen left ITLS and worked as a Data Analyst/Consultant in Insync Survey Pty Ltd, focusing on survey design, survey administration, data analysis and reporting for local government research projects and stakeholder surveys.
Wen re-joined Professor Stopher's team in July 2012, as well as carrying out research data analysis tasks, Wen also provides administrative support for Professor Stopher's projects and manages travel survey logistics.
Ma L, Mulley C and Liu W 2016 Forthcoming 'Social Marketing and the Built Environment: What Matters for Travel Behaviour Change?', Transportation
Hensher DA, Ho C and Liu W 2016 'How much is too much for tolled road users: toll saturation and the implications for car commuting value of travel time savings?', Transportation Research Part A: Policy and Practice, vol.94, pp. 604-21
Mulley C, Ma L and Liu W 2016 'Promoting Sustainable Travel Behavior: Role of Social Marketing and the Built Environment', 95th Annual Meeting of the Transportation Research Board TRB, Washington, D.C., United States, 14th January 2016
Moutou CJ, Longden T, Stopher PR and Liu W 2015 'The Challenges and Opportunities of In-Depth Analysis of Multi-day and Multi-year Data', Journal of Transport Economics and Policy, vol.49:4, pp. 579-602
Stopher PR, Shen L and Liu W 2015 'Correcting the Sampling Error Calculation for A Multi-Day Longitudinal Study', 14th International Association for Travel Behaviour Research IATBR Conference, Windsor, United Kingdom, 23rd July 2015
Ma L, Mulley C and Liu W 2015 'Does the Built Environment Make a Difference in Travel Behaviour Change?', 37th Australasian Transport Research Forum ATRF 2015, Sydney, Australia, 2nd October 2015
Moutou CJ, Stopher PR and Liu W 2014 'Challenges and Opportunities of In-Depth Analysis of Multi-Day and Multi-Year Data', 10th International Conference on Transport Survey Methods, Leura, Australia, 21st November 2014
Stopher PR, Moutou CJ, Shen L and Liu W 2014 'The Challenge of Obtaining Ground Truth for GPS Processing', 10th International Conference on Transport Survey Methods, Leura, Australia, 21st November 2014
Stopher PR, Moutou CJ and Liu W 2013 'Sustainability of Voluntary Travel Behaviour Change Initiatives', 6th International Symposium on Travel Demand Management, Dalian, China, 23rd August 2013
Stopher PR, Moutou CJ and Liu W 2013 'Sustainability of Voluntary Travel Behaviour Change Initiatives – a 5-Year Study', Proceedings of the 36th Australasian Transport Research Forum ATRF 2013 - “Transport and the New World City”, Brisbane, Australia, 4th October 2013
There is a recognised need within government and industry for having a capability to undertake a quick scan of a large number of candidate transport, infrastructure, and land-use projects and policies and prioritise them based on passenger and freight demand forecasts, benefit-costs ratios and economy-wide outcomes.
The MetroScan-TI project aims to provide this capability to governments and industries by applying High Performance Computing techniques to “deliver vital demand forecasts and a detailed assessment in a very short time frame”. The project also aims to provide a framework in which new models being developed by researchers at The University can be tested and applied.
MetroScan-TI has a significant potential to provide a transformational impact on a wide-range of policy decisions, both in Sydney and elsewhere, by providing a method for evaluating many possible initiatives on a range of measures.
Artemis High Performance Computing (HPC) Grand Challenge Scheme (Deputy Vice-Chancellor Research)