Cite
A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic.
MLA
Hu, Songhua, et al. “A Big-Data Driven Approach to Analyzing and Modeling Human Mobility Trend under Non-Pharmaceutical Interventions during COVID-19 Pandemic.” Transportation Research Part C: Emerging Technologies, vol. 124, Mar. 2021, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.trc.2020.102955.
APA
Hu, S., Xiong, C., Yang, M., Younes, H., Luo, W., & Zhang, L. (2021). A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic. Transportation Research Part C: Emerging Technologies, 124, N.PAG. https://doi.org/10.1016/j.trc.2020.102955
Chicago
Hu, Songhua, Chenfeng Xiong, Mofeng Yang, Hannah Younes, Weiyu Luo, and Lei Zhang. 2021. “A Big-Data Driven Approach to Analyzing and Modeling Human Mobility Trend under Non-Pharmaceutical Interventions during COVID-19 Pandemic.” Transportation Research Part C: Emerging Technologies 124 (March): N.PAG. doi:10.1016/j.trc.2020.102955.