Publications

For my full publication list, please see Google Scholar.

Human Mobility, Travel Behavior, Urban Analytics

  1. Su, R., Goulias, K. (2023). Untangling the relationships among residential environment, destination choice, and daily walk accessibility. Journal of Transport Geography, 109, 103595. doi: 10.1016/j.jtrangeo.2023.103595

  2. Su, R., Xiao, J., McBride, E.C., Goulias, K. (2021). Understanding senior’s daily mobility patterns in California using human mobility motifs. Journal of Transport Geography, 94, 103117. doi: 10.1016/j.jtrangeo.2021.103117

  3. Su, R., McBride, E.C., Goulias, K. (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. doi: 10.1016/j.tra.2021.03.002

  4. Su, R., McBride, E.C., Goulias, K. (2020). Pattern recognition of daily activity patterns using human mobility motifs and sequence analysis. Transportation Research Part C: Emerging Technologies, 120, 102796. doi: 10.1016/j.trc.2020.102796

  5. Su, R., Fang, Z., Xu, H., Huang, L. (2018). Uncovering Spatial Inequality in Taxi Services in the Context of a Subsidy War among E-Hailing Apps. ISPRS International Journal of Geo-Information, 7(6), 230. doi: 10.3390/ijgi7060230

  6. Su, R., Fang, Z., Luo, N., Zhu, J. (2018). Understanding the dynamics of the pick-up and drop-off locations of taxicabs in the context of a subsidy war among e-hailing apps. Sustainability, 10(4), 1256. doi: 10.3390/su10041256

  7. Shi, H., Su, R., Xiao, J., Goulias, K. (2022). Spatiotemporal analysis of activity-travel fragmentation based on spatial clustering and sequence analysis. Journal of Transport Geography, 102, 103382. doi: 10.1016/j.jtrangeo.2022.103382

  8. Xiao, J., Su, R., McBride, E.C., Goulias, K. (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, 1-15. doi: 10.5194/agile-giss-1-22-2020

  9. Goulias, K., Su, R., McBride, E.C. (2020). Revisiting the Impact of Teleworking on Activity-Travel Behavior Using Recent Data and Sequence-Based Analytical Techniques. (Research report to Pacific Southwest Region University Transportation Center).

  10. Goulias, K., McBride, E.C., Su, R. (2020). Life cycle stages, daily contacts, and activity-travel time allocation for the benefit of self and others. In: Scheiner, J. and Rau, H. (eds) Mobility Across the Life Course, Publisher: Edward Elgar. (book chapter)

  11. Fang, Z., Su, R., Huang, L. (2018). Understanding the effect of an E-hailing app subsidy war on taxicab operation zones. Journal of Advanced Transportation, 2018. doi: 10.1155/2018/7687852

Movement Analysis, Interaction Analysis, Time Geography, Scale

  1. Su, R., Liu, Y., Dodge, S. (2024). ORTEGA v1.0: An open-source Python package for context-aware interaction analysis using movement data. Movement Ecology, 12, 20. doi: 10.1186/s40462-024-00460-2

  2. Su, R., Dodge, S., Goulias, K. (2022). A classification framework and computational methods for human interaction analysis using movement data. Transactions in GIS, 26(4), 1665-1682. doi: 10.1111/tgis.12960

  3. Su, R., Dodge, S., Goulias, K. (2022). Understanding the impact of temporal scale on human movement analytics. Journal of Geographical Systems, 24(3), 353-388. doi: 10.1007/s10109-021-00370-6 (JGS Editors’ choice article)

  4. Su, R., Dodge, S., Goulias, K. (2021). 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). (Best Paper Award)

  5. Dodge, S., Su, R., Johnson, J., Simcharoen, A., Goulias, K., Smith, J., Ahearn, S. (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. doi: 10.1016/j. compenvurbsys.2021.101630

Other Topics

  1. Su, R., Goulias, K. (2021). Evolution of the Chinese Spring Festival Travel network during the COVID-19 early outbreak. Transportation letters, 13(5-6), 492-500. doi: 10.1080/19427867.2021.1896065

  2. Su, R., Fang, Z. (2019). A review of studies in taxi mobility and e-hailing taxi service. Journal of Smart Cities, 4(1), 1-6.

  3. Shi, H., Su, R., Goulias, K. (2023). Exploring the impact of COVID-19 pandemic on Americans time use related subjective well-being. Wellbeing, Space and Society, 100148. doi: 10.1016/j.wss.2023.100148