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Akshay Vij

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Associate professor, University of South Australia

Akshay Vij is an Associate Professor at UniSA Business. He has previously worked as lecturer and post-doctoral scholar at the University of California (UC) Berkeley. He received his Ph.D. in Civil and Environmental Engineering in 2013, also from UC Berkeley. Vij’s research has made significant contributions to the development of statistical methods for the study of human behaviour, and their application to different contexts, such as transport, urban and regional development, and labour markets. Since his move to Australia in 2015, Vij has collaborated extensively with industry and government partners on research grants totalling roughly $4.5 million to undertake research that has addressed major practical challenges facing these different sectors.

Experience

  • 2015–present
    Senior research fellow, Institute for Choice, University of South Australia
  • 2013–2015
    Postdoctoral fellow, Institute for Transport Studies, University of California, Berkeley

Education

  • 2013 
    University of California, Berkeley, Ph.D. in Civil and Environmental Engineering

Publications

  • 2017
    Random taste heterogeneity in discrete choice models: Multivariate nonparametric finite mixture distributions, Transportation Research Part B: Methodological
  • 2017
    From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area, Transportation Research Part A: Policy and Practice
  • 2017
    A discrete choice framework for modeling and forecasting the adoption and diffusion of new transportation services, Transportation Research Part C: Emerging Technologies
  • 2016
    Normative beliefs and modality styles: A latent class and latent variable model of travel behavior, Transportation
  • 2016
    How, when and why Integrated Choice and Latent Variable models are latently useful, Transportation Research Part B: Methodological
  • 2015
    When is Big Data big enough? Implications of using GPS-based surveys for travel demand analysis, Transportation Research Part C: Emerging Technologies
  • 2014
    Preference endogeneity in discrete choice models, Transportation Research Part B: Methodological
  • 2014
    Values, attitudes and travel behavior: A hierarchical latent variable mixed logit model of travel mode choice, Transportation
  • 2013
    Incorporating the influence of latent modal preferences on travel mode choice behavior, Transportation Research Part A: Policy and Practice

Research Areas

  • Transport Engineering (090507)
  • Transport Economics (140217)
  • Urban And Regional Economics (140218)
  • Econometric And Statistical Methods (140302)