Rongxiang Su, PhD

Rongxiang Su, PhD

Geospatial data science, Human mobility, Travel behavior, urban analytics, accessibility

Publications

For my full publication list, please see my Google Scholar.

2024

  1. Su, R., Newsham, N., Dodge, S. (2024). Spatiotemporal dynamics of ethnoracial diversity and segregation in Los Angeles County: Insights from mobile phone data. Computers, Environment and Urban Systems, 114, 102203. doi: 10.1016/j.compenvurbsys.2024.102203

  2. 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

  3. Shi, H., Xiao, J., Su, R., & Goulias, K. G. (2024). Measurement of happiness of daily activity-travel schedules. Travel Behaviour and Society, 36, 100807. doi:10.1016/j.tbs.2024.100807

2023

  1. 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

  2. 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

2022

  1. 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)

  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. 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

2021

  1. 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

  2. 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

  3. 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)

  4. 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

  5. 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

2020

  1. 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

  2. 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

  3. 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)

  4. 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).

2019

  1. 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.

2018

  1. 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

  2. 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

  3. 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