Quantifying Community Resilience Based on Fluctuations in Visits to Point-of-Interest from Digital Trace Data. - Cristian Podesta; Natalie Coleman; Amir Esmalian; Faxi Yuan; Ali Mostafavi (CoRR, 2020)

Mining Social Media Data for Rapid Damage Assessment during Hurricane Matthew: Feasibility Study. - Faxi Yuan; Rui Liu (J. Comput. Civ. Eng., 2020)

Unveiling Spatial Patterns of Disaster Impacts and Recovery Using Credit Card Transaction Variances. - Faxi Yuan; Amir Esmalian; Bora Oztekin; Ali Mostafavi (CoRR, 2021)

Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data. - Faxi Yuan; William Mobley; Hamed Farahmand; Yuanchang Xu; Russell Blessing; Ali Mostafavi; Samuel D. Brody (CoRR, 2021)

Social media for enhanced understanding of disaster resilience during Hurricane Florence. - Faxi Yuan; Min Li; Rui Liu; Wei Zhai; Bing Qi (Int. J. Inf. Manag., 2021)

Unraveling the Temporal Importance of Community-Scale Human Activity Features for Rapid Assessment of Flood Impacts. - Faxi Yuan; Yang Yang; Qingchun Li; Ali Mostafavi (IEEE Access, 2022)

Quantitative Measures for Integrating Resilience into Transportation Planning Practice: Study in Texas. - Cheng-Chun Lee; Akhil Rajput; Chia-Wei Hsu; Chao Fan; Faxi Yuan; Shangjia Dong; Amir Esmalian; Hamed Farahmand; Flavia Ioana Patrascu; Chia-Fu Liu; Bo Li; Junwei Ma; et al. (CoRR, 2022)

Data-driven Tracking of the Bounce-back Path after Disasters: Critical Milestones of Population Activity Recovery and Their Spatial Inequality. - Yuqin Jiang; Faxi Yuan; Hamed Farahmand; Kushal Acharya; Jingdi Zhang; Ali Mostafavi (CoRR, 2022)

Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding. - Faxi Yuan; Yuanchang Xu; Qingchun Li; Ali Mostafavi (Comput. Environ. Urban Syst., 2022)