Professor John Rose
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Professor John Rose

BEc(Hons) USyd, PhD USyd
Neil Smith Research Chair in Sustainable Transport Futures
Professor John Rose

After an eight-year absence, John re-joined the Institute of Transport and Logistics Studies as the Neil Smith Research Chair in Sustainable Transport Futures in October 2022. Having been a member of the Institute from 2001 to 2014, John left to first become a director at the Institute for Choice at the University of South Australia before becoming founding director of the Institute for Business Intelligence and Data Analytics (BIDA) at the University of Technology Sydney.

John undertook a Bachelor of Economics, majoring in Economics, Econometrics and Marketing (with Honours) at the University of Sydney, where he also worked as a tutor and associate lecturer teaching within the marketing discipline. In 2006, he completed his PhD at the Institute of Transport and Logistics Studies under the supervision of Professor David Hensher in the area of Transport Economics dealing specifically with optimal design theory for discrete choice experiments.

Over the course of his academic career, John has published over 300 scientific articles in peer-reviewed journals, books, and conference proceedings. He has also been an Associate Editor of Transportation, and Co-Editor and Chief of the Journal of Choice Modelling and Transportation Research Part A. He has also held various roles on multiple conference committees both in Australia and overseas.

Since graduating with a PhD, John has been obtained numerous grants worth over $3.4 million. These include a number of ARC discovery grants in the areas of Public Health, Transportation crowding, general economic theory related to utility separability as well as one on improving the external validity of Discrete Choice Experiments. In addition to academic grants, John has been involved in $9 million in industry-based contract research since the year 2005. John is also director of several companies, including CaPPRe and is co-developer of the Ngene software for generating experimental designs for stated choice surveys.

John is a leading expert in the practice and theory of the economics of behavioural change, particularly in respect to its application to transportation, health and environmental problems. John’s research has in the past focused on the use of discrete choice models and experiments in order understand the decision-making processes individual’s make in either market or non-market settings, which once understood are then either used to investigate optimal methods to induce positive behavioural change or to provide values for market or non-market goods that can be used as inputs into cost-benefit analysis.

With respect to discrete choice experiments and choice analysis, John has been instrumental to the development of both methods and algorithms that are now widely used to optimise experimental designs as well as the development of a number of econometric advances used to model discrete choice data. The work John has undertaken is widely applied across multiple applied economics disciplines, including marketing, health, environmental and resource economics, and transportation. These methods have been implemented in the software program, Ngene.

In his current role, John’s research is focused on examining the optimal pathway to obtaining a sustainable transport future. In this capacity, John is interested in using an evidence based approach to exploring the implications of different policy settings, as well as how individuals, businesses and government can come together to reduce the carbon footprint resulting from Transport activities.

Project titleResearch student
Incorporating sustainability and resilience as competitive priorities into mode choice decisions in the global freight forwarding context.Muhammad Fawad AFRAZ
Transitioning coal ports to the circular economyVeronica SCHULZ

Selected publications

Publications

Books

  • Hensher, D., Rose, J., Greene, W. (2015). Applied Choice Analysis. Cambridge: Cambridge University Press. [More Information]
  • Hensher, D., Rose, J., Greene, W. (2005). Applied Choice Analysis: A Primer. Cambridge, UK: Cambridge University Press. [More Information]

Edited Books

  • Hensher, D., Rose, J. (2011). Choice Modelling: Foundational Contributions. Australia: Edward Elgar Publishing. [More Information]

Book Chapters

  • Rose, J. (2024). Demystifying experimental design processes for stated choice experiments. In D. Potoglou, J. Spinney (Eds.), Handbook of Travel Behaviour, (pp. 140-160). United Kingdom: Edward Elgar Publishing Ltd. [More Information]
  • Hensher, D., Mulley, C., Rose, J. (2016). Preferences for BRT and light rail. In Juan Carlos Munoz, Laurel Paget-Seekins (Eds.), Restructuring public transport through Bus Rapid Transit: An international and interdisciplinary perspective, (pp. 209-229). Bristol: Policy Press. [More Information]
  • Hensher, D., Rose, J., Greene, W. (2015). Attribute processing, heuristics, and preference construction. In David A. Hensher, John M. Rose, William H. Greene (Eds.), Applied Choice Analysis, (pp. 937-1071). Cambridge: Cambridge University Press. [More Information]

Journals

  • Pellegrini, A., Yao, X., Rose, J., Ma, S. (2025). An autoregressive spatial stochastic frontier analysis for quantifying the sales efficiency of the electric vehicle market: An application to 88 pilot cities in China. Transportation Research Part A, 193, 104388. [More Information]
  • Pellegrini, A., Rose, J. (2025). On allowing endogenous minimum consumption bounds in the multiple discrete continuous choice model: An application to expenditure patterns. Transportation Research Part A, 183, 104393. [More Information]
  • Pellegrini, A., Diana, M., Rose, J. (2024). A latent-based segmentation framework for the investigation of charging behaviour of electric vehicle users. Transportation Research Part C, 165, 104722. [More Information]

Conferences

  • Hansford, H., Jones, M., Cashin, A., Ostelo, R., Chiarotto, A., Williams, S., Sharma, S., Devonshire, J., Ferraro, M., Wewege, M., Rose, J., et al (2024). The Smallest Worthwhile Effect of Exercise Therapy For People with Chronic Low Back Pain: A Discrete Choice Experiment Study. Research to Practice 2024, Sydney, Australia.
  • Pellegrini, A., Scarpa, R., Lombardi, G., Rose, J. (2022). A model of recreational demand with non-parametric representations of consumers' heterogeneity: A case study of forest recreation sites in Italy. 7th International Choice Modelling Conference (ICMC), Reykjavik, Iceland: International Choice Modelling Conference.
  • Rose, J., Borriello, A., Pellegrini, A. (2022). Formative versus Reflective Attitude Measures: Extending the Hybrid Choice Model. 7th International Choice Modelling Conference (ICMC), Reykjavik, Iceland: International Choice Modelling Conference.

2025

  • Pellegrini, A., Yao, X., Rose, J., Ma, S. (2025). An autoregressive spatial stochastic frontier analysis for quantifying the sales efficiency of the electric vehicle market: An application to 88 pilot cities in China. Transportation Research Part A, 193, 104388. [More Information]
  • Pellegrini, A., Rose, J. (2025). On allowing endogenous minimum consumption bounds in the multiple discrete continuous choice model: An application to expenditure patterns. Transportation Research Part A, 183, 104393. [More Information]

2024

  • Pellegrini, A., Diana, M., Rose, J. (2024). A latent-based segmentation framework for the investigation of charging behaviour of electric vehicle users. Transportation Research Part C, 165, 104722. [More Information]
  • Schulz, V., Bell, M., Geers, G., Rose, J. (2024). A new age for coal ports: An historical perspective on diversification and a circular economy future. Marine Policy, 170, 106402. [More Information]
  • Burke, P., Rose, J., Fifer, S., Masters, D., Kuegler, S., Cabrera, A. (2024). A new subjective well-being index using anchored best-worst scaling. Social Science Research, 120, 103013. [More Information]

2023

  • Pellegrini, A., Borriello, A., Rose, J. (2023). Assessing the willingness of Australian households for adopting home charging stations for electric vehicles. Transportation Research Part C, 148, 104034. [More Information]
  • Rose, J., Borriello, A., Pellegrini, A. (2023). Formative versus reflective attitude measures: Extending the hybrid choice model. Journal of Choice Modelling, 48, 100412. [More Information]
  • Tocock, M., Borriello, A., Tinch, D., Rose, J., Hatton MacDonald, D. (2023). How environmental beliefs influence the acceptance of reallocating government budgets to improving coastal water quality: a hybrid choice model. Australasian Journal of Environmental Management, 30(3-4), 348-366. [More Information]

2022

  • Pellegrini, A., Scarpa, R., Lombardi, G., Rose, J. (2022). A model of recreational demand with non-parametric representations of consumers' heterogeneity: A case study of forest recreation sites in Italy. 7th International Choice Modelling Conference (ICMC), Reykjavik, Iceland: International Choice Modelling Conference.
  • Pelletier, M., Tocock, M., Hatton MacDonald, D., Rose, J., Sullivan, C. (2022). Does information matter in the value of a wetland? Journal of Environmental Planning and Management, 65(7), 1323-1348. [More Information]
  • Borriello, A., Massey, G., Rose, J. (2022). Extending the theory of planned behaviour to investigate the issue of microplastics in the marine environment. Marine Pollution Bulletin, 179, 113689. [More Information]

2021

  • Weng, W., Morrison, M., Boyle, K., Boxall, P., Rose, J. (2021). Effects of the number of alternatives in public good discrete choice experiments. Ecological Economics, 182, 106904. [More Information]
  • Fettermann, D., Borriello, A., Pellegrini, A., Cavalcante, C., Rose, J., Burke, P. (2021). Getting smarter about household energy: the who and what of demand for smart meters. Building Research and Information, 49(1), 100-112. [More Information]
  • Borriello, A., Rose, J. (2021). Global versus localised attitudinal responses in discrete choice. Transportation, 48(1), 131-165. [More Information]

2020

  • Kelarestaghi, K., Ermagun, A., Heaslip, K., Rose, J. (2020). Choice of speed under compromised Dynamic Message Signs. PloS One, 15(12), e0243567. [More Information]
  • Legg, P., Hatton MacDonald, D., Bark, R., Tocock, M., Tinch, D., Rose, J. (2020). Cultural Values, Deep Mining Operations and the Use of Surplus Groundwater for Towns, Landscapes and Jobs. Ecological Economics, 178, 106808. [More Information]

2019

  • Borriello, A., Rose, J. (2019). An alternative approach to recovering inter and intra respondent heterogeneity in mixed multinomial logit models. 6th International Choice Modelling Conference, Kobe, Japan: International Choice Modelling Conference.
  • de Bekker-Grob, E., Swait, J., Kassahun, H., Bliemer, M., Jonker, M., Veldwijk, J., Cong, K., Rose, J., Donkers, B. (2019). Are Healthcare Choices Predictable? The Impact of Discrete Choice Experiment Designs and Models. Value in Health, 22(9), 1050-1062. [More Information]
  • Borriello, A., Burke, P., Rose, J. (2019). Consumers' preferences for different energy mixes in Australia. 6th International Choice Modelling Conference, Kobe, Japan: International Choice Modelling Conference.

2018

  • Cooper, B., Crase, L., Rose, J. (2018). Cost-reflective pricing: empirical insights into irrigators' preferences for water tariffs. Australian Journal of Agricultural and Resource Economics, 62(2), 256-278. [More Information]
  • Fifer, S., Rose, J., Beck, M. (2018). Does Size Matter? Mobile Verses Computer Completion of Health DCE. Value in Health, 21, S100-S101. [More Information]
  • Beck, M., Rose, J., Merkert, R. (2018). Exploring Perceived Safety, Privacy, and Distrust on Air Travel Choice in the Context of Differing Passenger Screening Procedures. Journal of Travel Research, 57(4), 495-512. [More Information]

2017

  • Franceschinis, C., Thiene, M., Scarpa, R., Rose, J., Moretto, M., Cavalli, R. (2017). Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory. Energy, 125, 313-326. [More Information]
  • Bliemer, M., Rose, J., Chorus, C. (2017). Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models. Transportation Research Part B, 102, 83-104. [More Information]
  • Beck, M., Rose, J., Greaves, S. (2017). I can't believe your attitude: a joint estimation of best worst attitudes and electric vehicle choice. Transportation, 44(4), 753-772. [More Information]

2016

  • Krueger, R., Rashidi, T., Rose, J. (2016). Adoption of Shared Autonomous Vehicles - A Hybrid Choice Modeling Approach Based on a Stated-Choice Survey. 95th Annual Meeting of the Transportation Research Board TRB, Washington, D.C., United States: Transportation Research Board Publications (TRB). [More Information]
  • van de Wetering, E., Exel, N., Rose, J., Hoefman, R., Brouwer, W. (2016). Are some QALYs more equal than others? The European Journal of Health Economics, 17(2), 117-127. [More Information]
  • Beck, M., Fifer, S., Rose, J. (2016). Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certainty. Transportation Research Part B, 89, 149-167. [More Information]

2015

  • Glase, K., Walters, N., Stephenson, T., Vines, R., Millman, S., Rose, J., Fifer, S. (2015). A Systematic Quantitative Approach To Incorporating The Patient Perspective Into Health Technology Assessment Decision Making. Value in Health, 18(3), A101. [More Information]
  • Rose, J., Bliemer, M. (2015). A unified theory of experimental design for stated choice studies. 4th International Choice Modelling Conference (ICMC), Austin, Texas, USA: International Choice Modelling Conference.
  • Beck, M., Rose, J., Merkert, R. (2015). Air Safety & Security: Traveller Perceptions Post the Malaysian Air Disasters. 14th International Conference on Travel Behaviour Research 2015, Windsor, UK: IATBR.

2014

  • Hoefman, R., van Exel, J., Rose, J., van de Wetering, E., Brouwer, W. (2014). A Discrete Choice Experiment to Obtain a Tariff for Valuing Informal Care Situations Measured with the CarerQol Instrument. Medical Decision Making, 34(1), 84-96. [More Information]
  • Bliemer, M., Rose, J. (2014). A unified theory of experimental design for stated choice studies. 10th International Conference on Transport Survey Methods, Leura, Australia: The International Steering Committee for Travel Survey Conferences (ISCTSC).
  • Collins, A., Rose, J. (2014). An investigation of taste and reference dependence heterogeneity. Transportation Research Board 93rd Annual Meeting, USA: Transportation Research Board Publications (TRB).

2013

  • de Bekker-Grob, E., Rose, J., Bliemer, M. (2013). A Closer Look at Decision and Analyst Error by Including Nonlinearities in Discrete Choice Models: Implications on Willingness-to-Pay Estimates Derived from Discrete Choice Data in Healthcare. PharmacoEconomics, 31(12), 1169-1183. [More Information]
  • Clifton, G., Rose, J. (2013). A simulation of the simple Mohring model to predict patronage and value of resources consumed for enhanced bus services. Research in Transportation Economics, 39(1), 259-269. [More Information]
  • Li, Z., Hensher, D., Rose, J. (2013). Accommodating perceptual conditioning in the valuation of expected travel time savings for cars and public transport. Research in Transportation Economics, 39(1), 270-276. [More Information]

2012

  • Clifton, G., Rose, J. (2012). A simulation to sensitivity test the simple Mohring model for enhanced bus services. 13th International Conference of the International Association for Travel Behaviour Research IATBR, Toronto, Canada: IATBR.
  • Hensher, D., Rose, J., Beck, M. (2012). Are there specific design elements of choice experiments and types of people that influence choice response certainty? Journal of Choice Modelling, 5(1), 77-97. [More Information]
  • Rose, J., Hensher, D., Greene, W., Washington, S. (2012). Attribute Exclusion Strategies in Airline Choice: Accounting for Exogenous Information on Decision Maker Processing Strategies in Models of Discrete Choice. Transportmetrica A: Transport Science, 8(5), 344-360. [More Information]

2011

  • Rose, J. (2011). 'The usefulness of Bayesian optimal designs for discrete choice experiments' by R. Kessels, B. Jones, P. Goos and M. Vandebroek. Applied Stochastic Models in Business and Industry, 27(3), 193-196. [More Information]
  • Fifer, S., Greaves, S., Rose, J., Ellison, R. (2011). A Combined GPS/Stated Choice Experiment to Estimate Values of Crash-Risk Reduction. Journal of Choice Modelling, 4(1), 44-61. [More Information]
  • Hensher, D., Jou, R., Rose, J., Li, Z., Huang, G. (2011). A Comparative Investigation of the Effects of the Design Dimensions of Choice Experiments on Car Commuters' Route Choice Behaviour and Valuation of Time in Taiwan and Australia. International Journal of Transport Economics, 38(2), 145-170.

2010

  • Fifer, S., Greaves, S., Rose, J., Ellison, R. (2010). A Combined GPS/Stated Choice Experiment to Estimate Values of Crash-Risk Reduction. 7th Triennial Symposium on Transportation Analysis (TRISTAN VII), Tromso, Norway: TRISTAN.
  • Rose, J., Masiero, L. (2010). A Comparison of the Impacts of Aspects of Prospect Theory on WTP/WTA Estimated in Preference and WTP/WTA Space. European Journal of Transport and Infrastructure Research, 10(4), 330-346.
  • Campbell, D., Hess, S., Scarpa, R., Rose, J. (2010). Accommodating Coefficient Outliers in Discrete Choice Modelling: A Comparison of Discrete and Continuous Mixing Approaches. In Stephane Hess, Andrew Daly (Eds.), Choice Modelling: The State-of-the-Art and the State-of Practice: Proceedings from the Inaugural International Choice Modelling Conference, (pp. 331-352). Bingley United Kingdom: Emerald Group Publishing.

2009

  • Choi, A., Bennett, J., Rose, J. (2009). Addressing non-consistent choice behavior in discrete choice models: a segmentation-based approach. Joint Conference of Korean Economics Associations 2009, Seoul, Korea: Korean Economics Associations.
  • Hess, S., Rose, J. (2009). Allowing for intra-respondent variations in coefficients estimated on repeated choice data. Transportation Research Part B, 43(6), 708-719. [More Information]
  • Washington, S., Ravulaparthy, S., Rose, J., Hensher, D., Pendyala, R. (2009). Bayesian Imputation of Non-Chosen Attribute Values in Revealed Preference Surveys. 88th Annual Transportation Research Board Meeting TRB 2009, United States: U.S. National Research Council, Transportation Research Board.

2008

  • Bliemer, M., Rose, J., Hess, S. (2008). Approximation of Bayesian efficiency in experimental choice designs. Journal of Choice Modelling, 1(1), 98-126. [More Information]
  • Hess, S., Rose, J., Hensher, D. (2008). Asymmetric Preference Formation in Willingness to Pay Estimates in Discrete Choice Models. Transportation Research Part E: Logistics and Transportation Review, 44(5), 847-863. [More Information]
  • Hensher, D., Rose, J., Greene, W. (2008). Combining RP and SP data: biases in using the nested logit 'trick' - contrasts with flexible mixed logit incorporating panel and scale effects. Journal of Transport Geography, 16(2), 126-133. [More Information]

2007

  • Hensher, D., Puckett, S., Rose, J. (2007). Agency decision making in freight distribution chains: Establishing a parsimonious empirical framework from alternative behavioural structures. Transportation Research Part B, 41(9), 924-949. [More Information]
  • Bliemer, M., Rose, J., Hess, S. (2007). Approximation of Bayesian Efficiency in Experimental Choice Designs. 86th Annual Transportation Research Board Meeting, United States: U.S. National Research Council, Transportation Research Board.
  • Hess, S., Rose, J., Hensher, D. (2007). Asymmetrical Preference Formation in Willingness to Pay Estimates in Discrete Choice Models. 11th World Conference on Transport Research, France: WCTR Conference and Elsevier.

2006

  • Greene, W., Hensher, D., Rose, J. (2006). Accounting for heterogeneity in the variance of unobserved effects in mixed logit models. Transportation Research Part B, 40(1), 75-92. [More Information]
  • Hensher, D., Greene, W., Rose, J. (2006). Deriving willingness-to-pay estimates of travel-time savings from individual-based parameters. Environment and Planning A: Economy and Space, 38(12), 2365-2376. [More Information]
  • Rose, J. (2006). Designing efficient data for stated choice experiments. 11th International Conference on Travel Behaviour Research.

2005

  • Hensher, D., Rose, J., Greene, W. (2005). Applied Choice Analysis: A Primer. Cambridge, UK: Cambridge University Press. [More Information]
  • Black, I., Efron, A., Anthony, C., Rose, J. (2005). Designing and Implementing Internet Questionnaires using Microsoft Excel. Australasian Marketing Journal, 13(2), 61-72. [More Information]
  • Stopher, P., Alsnih, R., Rose, J. (2005). Developing decision support system for emergency evacuation: Case study of bush fires. 84th Annual Transportation Research Board Meeting TRB 2005, Washington, DC: U.S. National Research Council, Transportation Research Board.

2004

  • Alsnih, R., Rose, J., Stopher, P. (2004). Dynamic Travel Demand For Emergency Evacuation: The Case Of Bushfires. 27th Australasian Transport Research Forum ATRF 2004, Australia: Transport Systems Centre, Universtiy of South Australia.
  • Rose, J., Hensher, D. (2004). Modelling Agent Interdependency In Group Decision Making. Transportation Research Part E: Logistics and Transportation Review, 40(1), 63-79. [More Information]
  • Rose, J., Black, I. (2004). Response Time Influences On Stated Preference Choice Experiments. 33rd Annual European Marketing Academy Conference 2004 (EMAC), Murcia, Spain: University of Murcia.

2003

  • Stopher, P., Bullock, P., Rose, J., Pointer, G. (2003). Simulating household travel survey data in Australia: Adelaide case study. Road and Transport Research, 12(3), 29-44.
  • Efron, A., Rose, J., Roquero, D. (2003). Truck or train? a stated choice study on intermodalism Argentina. 17th ANPET Congresso de Pesquisa e Ensino em Tansportes, Brasil: Associacoa Nacional de Pesquisa e Ensino em Transportes.

2002

  • Rose, J., Hensher, D. (2002). Modelling Agent Interdependency in Group Decision Making: Methodological Approaches to Interactive Agent Choice Experiments. 24th Conference of Australian Institutes of Transport Research, Sydney: School of Civil and Environmental Engineering, The University of New South Wales.

Selected Grants

2024

  • Investigation into the economy wide implications of large-scale price reductions in public transport. A case study from Queensland's 50 cent fare trial, Rose J, Pellegrini A, Beck M, Nelson J, Hensher D, iMOVE Australia Ltd/CRC Research Agreement

2012

  • Valuation of Service Reliability and Crowding under Risk and Uncertainty: Neglected Drivers of Demand for Public Transport, Hensher D, Rose J, Australian Research Council (ARC)/Discovery Projects (DP)