Akshay Vij

Prof Akshay Vij

Research Associate Professor

School of Economics

College of Business and Law

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Dr. Akshay Vij is a Professor at UniSA Business. He has previously worked as lecturer and post-doctoral scholar at the University of California (UC), Berkeley, with joint research appointments at the Institute of Transportation Studies and the Institute of Urban and Regional Development. He received his Ph.D. in Civil and Environmental Engineering, also from UC, Berkeley.
Vij’s research has made significant contributions to the development of statistical methods for the study of human behavior, and their application to different empirical contexts, such as transport, urban and regional development, labour markets, and energy. Findings from his research have been published in some of the most prestigious academic journals in these disciplines; presented at multiple national and international academic and industry conferences, workshops and symposiums; and covered by popular media outlets, such as The Guardian and Channel Nine.
Vij has collaborated extensively with industry and government partners to conduct research that addresses major practical challenges facing these different sectors. Since joining UniSA in 2015, Vij has led research grants worth A$4.5m and additionally been a co-investigator on grants worth A$1.9 million.

Discrete choice analysis,Travel behavior and travel demand analysis,Machine learning and data mining

Year Citation
2026 Ardeshiri, A., Washington, L., & Vij, A. (2026). Balancing innovation and safety: Public preferences for autonomous vehicle testing in Australia. Transport Policy, 181, 12 pages.
DOI
2026 Ardeshiri, A., Vij, A., & Arthur, N. (2026). Attracting young women to construction careers: a preference study to inform workforce strategies. Construction Management and Economics, 44(3), 214-239.
DOI
2025 Vij, A., Ardeshiri, A., Washington, L., Leishman, C., & Beer, A. (2025). Predicting the long-term impacts of COVID-19 on household location preferences: the rise of red giant and white dwarf cities. Regional Studies, 59(1), 26 pages.
DOI
2025 Irving, J., Beer, A., Weller, S., Barnes, T., Onur, I., Ratcliffe, J., . . . Vij, A. (2025). A longitudinal dataset of retrenched automotive workers in Australia. Scientific Data, 12(1, article no. 1113), 1-10.
DOI
2025 Anilan, V., Vij, A., Connor, J., Barrie, H., & Ardeshiri, A. (2025). Evaluating battery electric vehicle policies: a benefit-cost analysis framework. Transportation, online, 1-30.
DOI
2024 Vij, A., Ardeshiri, A., Crommelin, L., Denham, T., Washington, L., & Beer, A. (2024). COVID-19, shifting urban growth dynamics and preferences for regional living in Australia. Urban Policy and Research, 42(1), 35-58.
DOI Scopus3 WoS1
2024 Ardeshiri, A., Washington, L., Vij, A., Leishman, C., & Beer, A. (2024). Housing preferences for owner-occupied versus investment properties in Sydney, Australia. Housing Studies, online(12), 1-37.
DOI WoS1
2024 Baker, E., Beer, A., Leishman, C., Vij, A., Stone, W., Morey, C., . . . Pomeroy, S. (2024). Planning for a two-tenure future. AHURI Final Report, 2024(431), 1-85.
DOI Scopus3
2024 Vij, A., Washington, L., Weller, S., Irving, J., & Onur, I. (2024). Labour market preferences of retrenched Australian auto industry workers for job quality and meaningful work*. Economic Record, 100(329), 209-233.
DOI Scopus4 WoS3
2024 Anilan, V., & Vij, A. (2024). Taking the wheel: systematic review of reviews of policies driving BEV adoption. Transportation Research Part D: Transport and Environment, 136(104424), 1-17.
DOI Scopus16 WoS16
2023 Sun, W., Vij, A., & Kaliszewski, N. (2023). A flexible and scalable single-level framework for OD matrix inference using IoT data. Transportation Research Part A: Policy and Practice, 175(103775), 1-12.
DOI Scopus3 WoS4
2023 Vij, A., Souza, F. F., Barrie, H., Anilan, V., Sarmiento, S., & Washington, L. (2023). Employee preferences for working from home in Australia. Journal of Economic Behavior and Organization, 214, 782-800.
DOI Scopus11 WoS10
2022 Beer, A., Crommelin, L., Vij, A., Dodson, J., Dühr, S., & Pinnegar, S. (2022). Growing Australia’s smaller cities to better manage population growth. Ahuri Final Report, (386).
DOI Scopus5
2022 Franceschinis, C., Swait, J., Vij, A., & Thiene, M. (2022). Determinants of recreational activities choice in protected areas. Sustainability (Switzerland), 14(1, article no. 412), 1-16.
DOI Scopus30 WoS25
2022 Vij, A., & Dühr, S. (2022). The commercial viability of Mobility-as-a-Service (MaaS): what's in it for existing transport operators, and why should governments intervene?. Transport Reviews, 42(5), 695-716.
DOI Scopus21 WoS21
2022 van Cranenburgh, S., Wang, S., Vij, A., Pereira, F., & Walker, J. (2022). Choice modelling in the age of machine learning - Discussion paper. Journal of Choice Modelling, 42, 21 pages.
DOI Scopus101 WoS72
2022 Li, T., Denham, T., Dodson, J., & Vij, A. (2022). The economic dynamics and population change of Australia’s regional cities. Ahuri Final Report, (385).
DOI Scopus6
2021 Ghasri, M., & Vij, A. (2021). The potential impact of media commentary and social influence on consumer preferences for driverless cars. Transportation Research Part C Emerging Technologies, 127, 19 pages.
DOI Scopus22 WoS20
2021 Kang, L., Vij, A., Hubbard, A., & Shaw, D. (2021). The unintended impact of helmet use on bicyclists' risk-taking behaviors. Journal of Safety Research, 79, 135-147.
DOI Scopus17 WoS16 Europe PMC7
2021 Vij, A., Connor, J. D., & Beer, A. (2021). The negative effects of urban agglomeration on housing affordability in Australia. Australasian Journal of Regional Studies, 27(1), 26-46.
Scopus7 WoS4
2021 Thorhauge, M., Vij, A., & Cherchi, E. (2021). Heterogeneity in departure time preferences, flexibility and schedule constraints. Transportation, 48(4), 1865-1893.
DOI Scopus16 WoS16
2020 Vidyaratne, H., Vij, A., & Regan, C. M. (2020). A socio-economic exploration of landholder motivations to participate in afforestation programs in the Republic of Ireland: the role of irreversibility, inheritance and bequest value. Land Use Policy, 99(104987), 1-8.
DOI Scopus15 WoS15
2020 Krueger, R., Rashidi, T. H., & Vij, A. (2020). A Dirichlet process mixture model of discrete choice: comparisons and a case study on preferences for shared automated vehicles. Journal of Choice Modelling, 36(100229), 1-17.
DOI Scopus10 WoS10
2020 Vij, A., Ryan, S., Sampson, S., & Harris, S. (2020). Consumer preferences for on-demand transport in Australia. Transportation Research Part A: Policy and Practice, 132, 823-839.
DOI Scopus55 WoS49
2020 Gupta, N., Hallman, D. M., Dumuid, D., Vij, A., Rasmussen, C. L., Jørgensen, M. B., & Holtermann, A. (2020). Movement behavior profiles and obesity: a latent profile analysis of 24-h time-use composition among Danish workers. International journal of obesity, 44(2), 409-417.
DOI Scopus34 WoS32 Europe PMC26
2020 Krueger, R., Rashidi, T. H., & Vij, A. (2020). X vs. Y: an analysis of intergenerational differences in transport mode use among young adults. Transportation, 47(5), 2203-2231.
DOI Scopus9 WoS13
2020 Vij, A., Ryan, S., Sampson, S., & Harris, S. (2020). Consumer preferences for Mobility-as-a-Service (MaaS) in Australia. Transportation Research Part C: Emerging Technologies, 117(102699), 1-21.
DOI Scopus128 WoS108
2019 Ardeshiri, A., & Vij, A. (2019). Lifestyles, residential location, and transport mode use: a hierarchical latent class choice model. Transportation research part A: policy and practice, 126, 342-359.
DOI Scopus42 WoS39
2018 Krueger, R., Vij, A., & Rashidi, T. H. (2018). Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour. Transportation, 45(3), 789-825.
DOI Scopus49 WoS42
2017 Vij, A., Gorripaty, S., & Walker, J. L. (2017). From trend spotting to trend 'splaining: understanding modal preference shifts in the San Francisco Bay area. Transportation research part A: policy and practice, 95, 238-258.
DOI Scopus34 WoS33
2017 Vij, A., & Krueger, R. (2017). Random taste heterogeneity in discrete choice models: flexible nonparametric finite mixture distributions. Transportation research part B: methodological, 106, 76-101.
DOI Scopus39 WoS34
2017 Zarwi, F. E., Vij, A., & Walker, J. L. (2017). A discrete choice framework for modeling and forecasting the adoption and diffusion of new transportation services. Transportation research part C, 79, 207-223.
DOI Scopus92 WoS85
2016 Vij, A., & Walker, J. L. (2016). How, when and why integrated choice and latent variable models are latently useful. Transportation research part B, 90, 192-217.
DOI Scopus311 WoS292
2015 Vij, A., & Shankari, K. (2015). When is big data big enough? Implications of using GPS-based surveys for travel demand analysis. Transportation research part C, 56, 446-462.
DOI Scopus54 WoS47
2014 Vij, A., & Walker, J. L. (2014). Preference endogeneity in discrete choice models. Transportation research. Part B: methodological, 64, 90-105.
DOI Scopus39 WoS35
2014 Paulssen, M., Temme, D., Vij, A., & Walker, J. L. (2014). Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice. Transportation, 41(4), 873-888.
DOI Scopus283 WoS239
2013 Vij, A., Carrel, A., & Walker, J. L. (2013). Incorporating the influence of latent modal preferences on travel mode choice behavior. Transportation research. Part A : policy and practice, 54, 164-178.
DOI Scopus204 WoS179
2011 Gaker, D., Vautin, D., Vij, A., & Walker, J. L. (2011). The power and value of green in promoting sustainable transport behavior. Environmental research letters, 6(3), 1-10.
DOI Scopus59 WoS53

Year Citation
2018 Mosallanejad, M., Somenahalli, S., Vij, A., & Mills, D. (2018). Distinguishing transfer from activity using public transport fare data. In Proceedings of the Australasian Transport Research Forum (pp. 1-5). Australia: Australasian Transport Research Forum.
Scopus1
2018 Mosallanejad, M., Somenahalli, S., Vij, A., & Mills, D. (2018). Estimation of the origin-destination matrix for bus systems using metrocard data. In International Conference of Hong Kong Society for Transportation Studies (pp. 1-9). China: Hong Kong Society for Transportation Studies.
2018 Mosallanejad, M., Somenahalli, S., Vij, A., & Mills, D. (2018). Estimation of the OD matrix for bus systems using metrocard data. In Transportation Systems in the Connected Era Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies Hksts 2018 (pp. 75-82).
2018 Vij, A., Ryan, S., Sampson, S., & Harris, S. (2018). The Australian market for on-demand transport1. In Atrf 2018 Australasian Transport Research Forum 2018 Proceedings.
Scopus2
2018 Vij, A., Ryan, S., Sampson, S., & Harris, S. (2018). Consumer preferences for Mobility-as-a-service (MaaS) in Australia. In Atrf 2018 Australasian Transport Research Forum 2018 Proceedings.
Scopus5
2017 Ardeshiri, A., & Vij, A. (2017). A lifestyle-based model of household neighbourhood location and individual travel mode choice behaviour. In World Symposium on Transport and Land Use Research 2017. Australia: World Society for Transport & Land Use Research.
2011 Vij, A., Carrel, A., & Walker, J. L. (2011). Capturing modality styles using behavioral mixture models and longitudinal data. In International Choice Modelling Conference 2011: general papers (pp. 1-29). UK: International Choice Modelling Conference.

Year Citation
2025 Vij, A., Sun, W., Barrie, H., Washington, L., Cong, K., Faulkner, D., . . . Urrutia, D. (2025). National Community Transport Pricing Model (NCTPM) Pilot. Australia: IMove CRC and the Australian Community Transport Association (ACTA).
2024 Arthur, N., Vij, A., Ardeshiri, A., Zheng, C., Huo, F., & Archer, B. (2024). Attraction and Retention of Youth to the Building and Construction Industry. Australia: CITB.
2024 Han, H., Vij, A., & Ardeshiri, A. (2024). A non-parametric framework to transfer household travel survey data across jurisdictions. Australia: iMOVE Cooperative Research Centre.
2024 Vij, A., Sharam, A., Baako, K., Ardeshiri, A., Faulkner, D., Washington, L., . . . Lowies, B. (2024). Incentivising small-scale investors to supply affordable private rental housing. Australia: AHURI.
DOI Scopus1
2023 Beer, A., Crommelin, L., Vij, A., Gharaie, E., Dodson, J., Li, T., . . . Horne, S. (2023). Disruption in regional housing: policy responses for more resilient markets. Australia: Australian Housing and Urban Research Institute.
DOI Scopus2
2023 Beer, A., Vij, A., Baker, E., Crommelin, L., Dodson, J., Gharaie, E., . . . Horne, S. (2023). 32307 Changing regional housing markets: work in progress report. Australia: Australian Housing and Urban Research Institute.
2023 Sun, W., Vij, A., Marian, R., & Li, J. (2023). Big data for strategic transport planning. Australia: iMOVE CRC.
2023 Vij, A., Ardeshiri, A., Leishman, C., Beer, A., Goel, S., Han, H. D., . . . Washington, L. (2023). The future of Australian cities and regions in a post-pandemic world. Australia: DITRDCA and the iMOVE CRC.
2022 Vij, A., Ardeshiri, A., Li, T., Beer, A., & Crommelin, L. (2022). Understanding what attracts new residents to smaller cities. Australia: Australian Housing and Urban Research Institute Limited Melbourne.
DOI Scopus7
2021 Davis, A., Madigan, D., Dühr, S., Kroll, D., Afrooz, A. E., Peters, S., & Vij, A. (2021). Downsizing to the City: project report. Australia: University of South Australia.
2021 Porter, J., Beer, A., Vij, A., & Horne, S. (2021). Regional housing markets: final report. Australia: Regional Australia Institute.
2020 Vij, A., Faulkner, D., Beer, A., & Goodwin Smith, I. (2020). Understanding the demand for housing amongst persons with an intellectual disability in South Australia. Australia: UniSA Business.
2020 Beer, A., Vij, A., Rainnie, A., Veitch, W., & Clower, T. (2020). The impacts of specialisation and diversification on Australia's mid-sized towns. Australia: Regional Australia Institute.
2020 Vij, A., Dühr, S., Xiong, P., Cash, B., Gurd, B., & Boell, S. (2020). MaaS business models: emerging business models in the digital economy, and lessons for Mobility as a Service (MaaS) operators and regulators. Australia: iMove Australia.
2019 Vij, A., Connor, J., Afoakwah, C., & Baddeley, M. (2019). Future urban and regional settlement patterns: scenario analysis. Australia: Regional Australia Institute.
2016 Vij, A., Lambides, M., Cong, K., Dubey, S., & Sampson, S. (2016). Reducing mobile phone use while driving in South Australia. Australia: University of South Australia.

  • Encouraging greater use of advanced driver assistance systems, Cwth Dept of Infrastructure,Transport & Regional Development and Communications, 27/03/2025 - 30/06/2027

  • SAPN Energy Masters, Race for 2030, 01/04/2024 - 31/01/2027

  • Advancing Strategies for Attracting and Retaining Youth in Construction Careers, Construction Industry Training Board, 05/08/2025 - 31/07/2026

  • Plugged In: Understanding Consumer Behaviour and Market Pathways for Vehicle-to-Grid in South Australia, iMove Australia Limited, 05/11/2025 - 05/07/2026

  • Road freight OD Inference, iMove Australia Limited, 20/01/2025 - 31/01/2026

  • Accelerating the Development of Housing System Modelling, Department of the Treasury, 27/02/2025 - 31/10/2025

  • iMove 6-030 National Variable Pricing Matrix, iMove Australia Limited, 18/12/2023 - 30/06/2025

  • Planning for a two tenure Australia - DCE, Australian Housing & Urban Research Institute, 03/04/2023 - 30/06/2024

  • Tenure Futures - Planning for a two tenure Australia (2023H), Australian Housing & Urban Research Institute, 03/04/2023 - 30/06/2024

  • Incentivising small-scale investors to supply affordable housing, Australian Housing & Urban Research Institute, 03/04/2023 - 30/06/2024

  • Disruption in regional housing: Policy responses for more resilient markets , Australian Housing & Urban Research Institute, 03/04/2023 - 18/06/2024

  • Understanding the need for and provision of housing for people with intellectual disabilities in South Australia, Minda Incorporated, 15/10/2023 - 15/12/2023

  • iMove 3.015 Promoting Community Readiness and Uptake of Connected and Automated Vehicles, iMove Australia Limited, 04/03/2021 - 30/03/2023

  • AHURI - Inquiry into population growth in Australia’s smaller cities (20/PRO/32260), Australian Housing & Urban Research Institute, 01/04/2020 - 31/12/2021

  • AHURI - Understanding what attracts new residents to smaller cities (20/PRO/32262), Australian Housing & Urban Research Institute, 01/04/2020 - 30/09/2021

  • The impacts of natural disasters on retail and service businesses in regional Australia, Regional Australia Institute Limited, 10/04/2020 - 30/06/2021

  • iMOVE 3-005 - MaaS business models: Emerging business models in the digital economy, and lessons for Mobility as a Service (MaaS) operators and regulators, iMove Australia Limited, 01/07/2019 - 31/01/2020

  • iMove - 3-001 MaaS and On-Demand Transport - Consumer research and report, iMove Australia Limited, 18/12/2017 - 04/06/2018

Date Role Research Topic Program Degree Type Student Load Student Name
2023 Principal Supervisor The impact of emerging transport and communication technologies on the shape and structure of cities and regions Doctor of Philosophy Doctorate Part Time Mx Jacob Benedict Irving
2022 Co-Supervisor The influence of entrepreneurial ecosystem on high-growth firms' financing dynamics Doctor of Philosophy Doctorate Full Time Mr Sergio Sarmiento Cortes
2022 Principal Supervisor Assessing user and public acceptance of new parking management systems Doctor of Philosophy Doctorate Part Time Mr Seyedmohammadhossein Mousavi

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