Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment. - Arianna Salazar Miranda; Zhuangyuan Fan; Fabio Duarte; Carlo Ratti (Comput. Environ. Urban Syst., 2021)

Rhythm of the streets: a street classification framework based on street activity patterns. - Tianyu Su; Maoran Sun; Zhuangyuan Fan; Ariel Noyman; Alex Pentland; Esteban Moro (EPJ Data Sci., 2022)

Rhythm of Transit Stations - Uncovering the Activity-Travel Dynamics of Transit-Oriented Development in the U.S. - Zhuangyuan Fan; Fan Zhang 011; Becky P. Y. Loo (IEEE Trans. Intell. Transp. Syst., 2022)

Connect the last mile - textual entailment identify efforts in bridging the digital divide. - Zhuangyuan Fan; Fan Zhang 011 (Urban Inform., 2022)

Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency. - Ting Lian; Becky P. Y. Loo; Zhuangyuan Fan (Comput. Environ. Urban Syst., 2024)