Selected Publications

(last 5 years)

Thakuriah, P., C. Boididou and J. Hong. Physical distancing and its association with travel behavior in daily pre-pandemic urban life: An analysis utilizing lifelogging images and composite survey and mobility data. Forthcoming in Environment and Planning B: Urban Analytics and City Science.

Chen, L., J. Wang, and P. Thakuriah (2023). Quality-Guaranteed and Cost-Effective Population Health Profiling: A Deep Active Learning Approach. ACM Transactions for Computing in Healthcare (August 2023). https://doi.org/10.1145/3617179

Thakuriah, Piyushimita (Vonu) (2023). Exploring Car-Ownership and Declining Carlessness in the United States during the COVID-19 Pandemic. Findings, March. https://doi.org/10.32866/001c.72773.

Kalra, S., D. Kalra, I. Grafova, J. Sass Rubin, A. Monheit, J. Cantor, P. Duberstein, S. S. Bhuyan, (2023). Association of death or illness from COVID-19 among family and friends on vaccine uptake within four months of the Emergency Use Authorization. Findings from a national survey in the United States, Vaccine, https://doi.org/10.1016/j.vaccine.2023.01.024

Bukhari, M. H., Shad, M. Y., Nguyen, U. D. T., Trevino, J. A. Jung, W. C., Haque, U, (2023). A Bayesian spatiotemporal approach to modeling arboviral diseases in Mexico, Trans R Soc Trop Med Hyg 2023; 0: 1–9, https://doi.org/10.1093/trstmh/trad064

Jung, W. (2023). Mapping community development projects: Spatial analysis in Myanmar. World Development. 164. https://doi.org/10.1016/j.worlddev.2022.106124

Jia, W., Chen, T. D., & Zhang, W. (2022). Willingness-to-relocate: Examining preferences for parking relocation of privately-owned automated vehicles. Transportation Research Part D: Transport and Environment, 108, 103318. https://doi.org/10.1016/j.trd.2022.103318

Jung. W. (2022). The discrepancy between two approaches to global poverty: What does it reveal? Social Indicators Research. https://doi.org/10.1007/s11205-021-02866-6

Venkatasubramanian, A., L. Evers, P. Thakuriah and K. Ampountolas (2021). Functional distributional clustering using spatio-temporal data.  Journal of Applied Statistics. https://doi.org/10.1080/02664763.2021.2001443

Chen, L., Thakuriah, P.V. & Ampountolas, K. Short-Term Prediction of Demand for Ride-Hailing Services: A Deep Learning Approach. J. Big Data Anal. Transp. (2021). https://doi.org/10.1007/s42421-021-00041-4

Tarimo CS, Bhuyan SS, Li Q, Ren W, Mahande MJ, Wu J. (2021). Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania. Risk Manag Healthc Policy. 2021; 14:3711-3720

Tarimo CS, Bhuyan SS, Li Q, Mahande MJ, Wu J, Fu X. Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania. BMJ open. 2021 Dec 1;11(12): e051925.

Kedia SK, Dillon PJ, Jiang Y, James W, Collins AC, Bhuyan SS (2021). The association between substance use and violence: results from a nationally representative sample of high school students in the United States. Community Ment Health J. 2021 Feb; 57:294-306.

Wu, G., J. Hong, and P. Thakuriah (2021). Investigating temporal changes in the relationship between time spent on the Internet and Non-mandatory activity-travel time use. Transportation, pp. 1-23. doi: https://doi.org/10.1007/s11116-021-10174-8

Sun, Y. and P. Thakuriah P (2021). Public transport availability inequalities and transport poverty risk across England. Environment and Planning B: Urban Analytics and City Science. February. https://doi.org/10.1177/2399808321991536

Zhang, W., & Guhathakurta, S. (2021). Residential Location Choice in the Era of Shared Autonomous Vehicles. Journal of Planning Education and Research, 41(2), 135–148. https://doi.org/10.1177/0739456X18776062

Wu J, Li Q, Feng Y, Bhuyan SS, Tarimo CS, Zeng X, Wu C, Chen N, Miao Y. Active commuting and the risk of obesity, hypertension, and diabetes: a systematic review and meta-analysis of observational studies. BMJ Glob Health. 2021 Jun 1;6(6): e005838.

Bhuyan SS, Kabir UY, Escareno JM, Ector K, Palakodeti S, Wyant D, Kumar S, Levy M, Kedia S, Dasgupta D, Dobalian A. Transforming healthcare cybersecurity from reactive to proactive: current status and future recommendations. J Med Syst. 2020 May; 44:1-9.

Zhang, W., Wang, K., Wang, S., Jiang, Z., Mondschein, A., & Noland, R. B. (2020). Synthesizing neighborhood preferences for automated vehicles. Transportation Research Part C: Emerging Technologies, 120, 102774. https://doi.org/10.1016/j.trc.2020.102774

Zhang, W., & Wang, K. (2020). Parking futures: Shared automated vehicles and parking demand reduction trajectories in Atlanta. Land Use Policy, 91, 103963. https://doi.org/10.1016/j.landusepol.2019.04.024

Hong, J., P. Thakuriah, P. Mason, C. Lido (2020). The role of numeracy and financial literacy skills in the relationship between information and communication technology use and travel behavior. Travel Behaviour and Society, Vol. 21, pp. 257-264. https://doi.org/10.1016/j.tbs.2020.07.007

Thakuriah, P., K. Sila-Nowicka, J. Hong, C. Boididou, M. Osborne, C. Lido, A. McHugh (2020). Integrated Multimedia City Data (iMCD): A Composite Survey and Sensing Approach to Understanding Urban Living and Mobility. In Computers, Environment and Urban Systems. Early online: https://doi.org/10.1016/j.compenvurbsys.2019.101427

Wu, W., W. Liu, P. Thakuriah and J. Wang (2020). The Geography of Human Activity and Land Use: A Big Data Approach. In Cities: The International Journal of Urban Policy and Planning. Vol. 97, 102523 https://doi.org/10.1016/j.cities.2019.102523

Jung, W. (2020). Two models of community-centered development in Myanmar. World Development, 136. https://doi.org/10.1016/j.worlddev.2020.105081

Jung, W. (2020). Using data science to strengthen the social safety net: Predicting risk for Medicare and Medicaid insurers. Journal of Governmental Studies. 26(2), 29-61. [In Korean; Abstract In English] https://dx.doi.org/10.19067/jgs.2020.26.2.29

Zhang, W., Guhathakurta, S., & Khalil, E. B. (2018). The impact of private autonomous vehicles on vehicle ownership and unoccupied VMT generation. Transportation Research Part C: Emerging Technologies, 90, 156-165. https://doi.org/10.1016/j.trc.2018.03.005

Chen L., Sun Y., Thakuriah P. (2020) Modelling and Predicting Individual Salaries in United Kingdom with Graph Convolutional Network. In: Madureira A., Abraham A., Gandhi N., Varela M. (eds) Hybrid Intelligent Systems. HIS 2018. Advances in Intelligent Systems and Computing, vol 923, pp. 61-74, Springer. https://doi.org/10.1007/978-3-030-14347-3_7

Thakuriah, P. (2020). COVID-19 and Movement Patterns in New Jersey. Technical Report on Phase 1 of COVID-19 Lockdown. https://rucilab.rutgers.edu/covid-19-and-movement-patterns-in-new-jersey/

Wu, G., J. Hong and P. Thakuriah (2019). Assessing the Relationships Between Young Adults’ Travel and Use of the Internet over Time. Transportation Research – Part A, Vol 125, pp. 8-19. https://doi.org/10.1016/j.tra.2019.05.002

Anejionu, O. C. D., P. Thakuriah, A. McHugh, Y. Sun, D. McArthur, P. Mason, and Rod Walpole (2019). Spatial urban data system: A cloud-enabled big data infrastructure for social and economic urban analytics. In Future Generation Computer Systems, Vol 98, pp. 456-473. https://doi.org/10.1016/j.future.2019.03.052

Anejionu, O. C. D., Y. Sun, P. Thakuriah, A. McHugh, P. Mason (2019). Great Britain Transport, Housing, and Employment Access Datasets for small-area Urban Area Analytics. Journal Data in Brief, Vol. 27, Article 104616.   https://doi.org/10.1016/j.dib.2019.104616

Sila-Nowicka, K. and P. Thakuriah (2019). Multi-sensor movement analysis for transport safety and health applications. In PLoSONE 14(1):e0210090. https://doi.org/10.1371/journal.pone.0210090

Chen, L., K. Ampountolas and P. Thakuriah (2019). Predicting Uber Demand in NYC with Wavenet. Proc. Smart Accessibility 2019: The Fourth International Conference on Universal Accessibility in the Internet of Things and Smart Environments, pp. 1-5.

Mahmood A, Kedia S, Wyant DK, Ahn S, Bhuyan SS. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. Digit. Health. 2019 Oct; 5:2055207619882181. eCollection Jan-Dec 2019. 17

McHugh, A. and P. Thakuriah (2018). Developing smart statistics for urban mobility: Challenges and opportunities. https://dgins2018.statisticsevents.ro/wp-content/uploads/2018/10/23-Developing-smart-statistics-for-urban-mobility.pdf

Paule, J. D. G., Y. Sun and P. Thakuriah (2018). Beyond Geo-Tagged Tweets: Exploring the Geo-Localization of Tweets for Transportation Applications. In Transportation Analytics in the Era of Big Data, pp. 1-21. https://doi.org/10.1007/978-3-319-75862-6_1

Hong, J. and P. Thakuriah (2018). Examining the relationship between different urbanization settings, smartphone use to access the Internet and trip frequencies.In Journal of Transport Geography, Vol 69, pp 11-18. https://doi.org/10.1016/j.jtrangeo.2018.04.006