Andrew Collins
BSc(Hons I) BA UNSW
Doctoral Program
andrew.collins@sydney.edu.au
Room 210
C37 - Newtown Campus
The University of Sydney
NSW 2006 Australia
Phone: +61 2 9351 0075
Fax: +61 2 9351 0088
Andrew joined ITLS in December 2002, working casually on a range of internet stated choice surveys. In 2003 he completed his honours year of a combined BSc/BA degree. Co-supervised by Peter Stopher, he completed his thesis on 'Web visualisation of GIS data', achieving first class honours. Andrew joined ITLS full time in November 2003. He developed an online, animated trip visualisation tool for use with prompted recall surveys that utilise GPS data. Andrew has built a range of database systems to improve the data integrity and administrative efficiency of the many Stopher projects. He has an interest in improving the visual quality of survey materials, computer surveys, and database front-ends. In addition to the numerous online surveys that he has constructed, Andrew has programmed computer assisted personal interview survey programs for a range of research projects, including the study of urban freight movement with David Hensher and Sean Puckett, toll road and route choice studies with David Hensher and John Rose, and bushfire evacuation studies with Peter Stopher and John Rose. Andrew has worked extensively with John Rose and Michiel Bliemer on the generation of optimal experimental designs for stated choice experiments. He is currently developing a software package that will find highly efficient designs for a wide range of stated choice experiments. With Stephen Greaves, Andrew has examined the impact of aircraft noise, with a particular focus on the exposure consequences of a dynamic, moving population. Andrew has several refereed journal articles in press, and has presented papers at several conferences. In 2006 Andrew was awarded the David Willis Memorial Prize from the Australasian Transport Research Forum 2006 for the best paper by a student or new professional. Andrew is now studying for this PhD on Including process in models of choice, supervised by Professor David Hensher and Dr John Rose.