Recent Publictions

  1. Xiao, J., & Goulias, K. G. (2022). Perceived usefulness and intentions to adopt autonomous vehicles. Transportation Research Part A: Policy and Practice, 161, 170-185. https://doi.org/10.1016/j.tra.2022.05.007.
  2. Shi, H., Su, R., Xiao, J., & Goulias, K. G. (2022). Spatiotemporal analysis of activity-travel fragmentation based on spatial clustering and sequence analysis. Journal of Transport Geography, 102, 103382. https://doi.org/10.1016/j.jtrangeo.2022.103382.
  3. Su, R., Dodge, S., & Goulias, K. G. (2022). A classification framework and computational methods for human interaction analysis using movement data. Transactions in GIS. https://doi.org/10.1111/tgis.12960.
  4. Su, R., Dodge, S., & Goulias, K. G. (2022). Understanding the impact of temporal scale on human movement analytics. Journal of Geographical Systems, 1-36. (selected as the JGS Editors' choice article) https://link.springer.com/article/10.1007/s10109-021-00370-6.
  5. Xiao, J., & Goulias, K. G. (2021). How public interest and concerns about autonomous vehicles change over time: A study of repeated cross-sectional travel survey data of the Puget Sound Region in the Northwest United States. Transportation Research Part C, 133, 103446. https://doi.org/10.1016/j.trc.2021.103446.
  6. Su, R., Dodge, S., & Goulias, K. (2021, November). A time-geographic approach to quantify the duration of interaction in movement data. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility (pp. 18-26). https://dl.acm.org/doi/10.1145/3486637.3489490.
  7. Laviolette, J., Morency, C., Waygood, O. D., & Goulias, K. G. (2021). Car Ownership and the Built Environment: A Spatial Modeling Approach. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981211049409
  8. Dodge, S., Su, R., Johnson, J., Simcharoen, A., Goulias, K., Smith, J. L., & Ahearn, S. C. (2021). ORTEGA: An object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data. Computers, Environment and Urban Systems, 88, 101630. https://doi.org/10.1016/j.compenvurbsys.2021.101630
  9. Su, R., Xiao, J., McBride, E. C., & Goulias, K. G. (2021). Understanding senior's daily mobility patterns in California using human mobility motifs. Journal of Transport Geography, 94, 103117. https://doi.org/10.1016/j.jtrangeo.2021.103117
  10. Su R and K.G. Goulias (2021) Evolution of the Chinese spring festival travel network during the COVID-19 early outbreak. Transportation Letters, 13(5-6), 492-500. https://doi.org/10.1080/19427867.2021.1896065
  11. Goulias, K. G. (2021). Special issue on understanding the relationships between COVID-19 and transportation. Transportation Letters, 13(5-6), 327-330. https://doi.org/10.1080/19427867.2021.1913875
  12. Su R. and K.G. Goulias (2021) Exploration of human mobility motifs in the California component of the 2017 National Household Travel Survey. hEART. 9th Symposium of the European Association for Research in Transportation, February 3-4, 2021. https://transp-or.epfl.ch/heart/2020/abstracts/HEART_2020_paper_171.pdf
  13. Su R., E.C. McBride, and K.G. Goulias (2021) Unveiling daily activity pattern differences between telecommuters and commuters using human mobility motifs and sequence analysis. Transportation Research Part A: Policy and Practice, 147, 106-132. https://doi.org/10.1016/j.tra.2021.03.002
  14. Shih, H. C., Stow, D. A., Chang, K. C., Roberts, D. A., & Goulias, K. G. (2021). From land cover to land use: Applying random forest classifier to Landsat imagery for urban land-use change mapping. Geocarto International, 1-24. https://doi.org/10.1080/10106049.2021.1923827
  15. Su R., E.C. McBride, and K.G. Goulias (2020) Pattern recognition of daily activity patterns using human mobility motifs and sequence analysis. Transportation Research Part C: Emerging Technologies, 120, November. https://doi.org/10.1016/j.trc.2020.102796
  16. Goulias K. G., E.C. McBride, and R Su (2020) Life Cycle Stages, Daily Contacts, and Activity-Travel Time Allocation for the Benefit of Self and Others. Chapter 13 in Mobility Across the Life Course: Qualitative and Quantitative Approaches (Eds Joachim Scheiner and Henrike Rau), Edward Elgar. https://doi.org/10.4337/9781789907810.00023
  17. Xiao, J., Su, R., McBride, E. C., & Goulias, K. G (2020) Exploring the correlations between spatiotemporal daily activity-travel patterns and stated interest and perception of risk with self-driving cars. AGILE: GIScience Series, 1, pp. 1-15. https://doi.org/10.5194/agile-giss-1-22-2020
  18. McBride, E. C., Davis, A. W., & Goulias, K. G. (2020) Exploration of statewide fragmentation of activity and travel and a taxonomy of daily time use patterns using sequence analysis in California. Transportation Research Record: Journal of the Transportation Research Board, 2674(12), pp. 38-51. https://doi.org/10.1177%2F0361198120946011
  19. Ravulaparthy, S., & Goulias, K. G. (2020). Activity Time-Use Patterns and Experienced Satisfaction: Travel Behavioral Dynamics from the 2010–2013 American Time-Use Survey Data. Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States). https://www.osti.gov/biblio/1607013
  20. Goulias, K.G. A. W. Davis, and E. C. McBride (2020).  Chapter 1 - Introduction and the genome of travel behavior. In Mapping the Travel Behavior Genome (edited by Goulias K.G. and A.W. Davis), Elsevier, pp. 1-14. https://doi.org/10.1016/B978-0-12-817340-4.00001-2.
  21. Davis A. W., A. Polydoropoulou, A. Stathopoulos, B. Farooq, C. R. Bhat, C. Antoniou, J. Zhang, K. G. Goulias, K. Mohammadian, M. Kamargianni, P. L. Mokhtarian, R. M. Pendyala, Y. Shiftan, (2020). Chapter 32 - Workshop summary and research themes. In Mapping the Travel Behavior Genome (edited by Goulias K.G. and A.W. Davis), pp. 635-673. Elsevier,  https://doi.org/10.1016/B978-0-12-817340-4.00032-2
  22. Davis, A. W., McBride, E. C., & Goulias, K. G. (2020). Chapter 6 - Environmental correlates of travel behavior from a destination attractiveness and activity timing perspectives. In Mapping the Travel Behavior Genome (edited by Goulias K.G. and A.W. Davis), pp. 83-102. Elsevier, https://doi.org/10.1016/B978-0-12-817340-4.00006-1
  23. McBride, E. C., Davis, A. W., & Goulias, K. G. (2020). Chapter 19 - Sequence analysis of place-travel fragmentation in California. In Mapping the Travel Behavior Genome (edited by Goulias K.G. and A.W. Davis), pp. 371-398. Elsevier, https://doi.org/10.1016/B978-0-12-817340-4.00019-X