Faxi Yuan
Faxi Yuan
Data Scientist, MAPFRE Insurance
Verifisert e-postadresse på tamu.edu
Sitert av
Sitert av
Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study
F Yuan, R Liu
International journal of disaster risk reduction 28, 758-767, 2018
Social media for enhanced understanding of disaster resilience during Hurricane Florence
F Yuan, M Li, R Liu, W Zhai, B Qi
International Journal of Information Management 57, 102289, 2021
Mining social media data for rapid damage assessment during Hurricane Matthew: Feasibility study
F Yuan, R Liu
Journal of Computing in Civil Engineering 34 (3), 05020001, 2020
Examine the effects of neighborhood equity on disaster situational awareness: Harness machine learning and geotagged Twitter data
W Zhai, ZR Peng, F Yuan
International Journal of Disaster Risk Reduction 48, 101611, 2020
Understanding the evolutions of public responses using social media: Hurricane Matthew case study
F Yuan, M Li, R Liu
International Journal of Disaster Risk Reduction 51, 101798, 2020
Historical redlining and resident exposure to COVID-19: a study of New York City
M Li, F Yuan
Race and Social Problems 14 (2), 85-100, 2022
Crowdsourcing for forensic disaster investigations: Hurricane Harvey case study
F Yuan, R Liu
Natural Hazards 93, 1529-1546, 2018
Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data
C Podesta, N Coleman, A Esmalian, F Yuan, A Mostafavi
Journal of the Royal Society Interface 18 (177), 20210158, 2021
Internet of people enabled framework for evaluating performance loss and resilience of urban critical infrastructures
F Yuan, R Liu, L Mao, M Li
Safety Science 134, 105079, 2021
Integration of Social Media and Unmanned Aerial Vehicles (UAVs) for Rapid Damage Assessment in Hurricane Matthew
F Yuan, R Liu
Construction Research Congress 2018, 513-523, 2018
Smart flood resilience: Harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness
F Yuan, C Fan, H Farahmand, N Coleman, A Esmalian, CC Lee, ...
Environmental Research: Infrastructure and Sustainability 2 (2), 025006, 2022
Identifying damage-related social media data during Hurricane Matthew: A machine learning approach
F Yuan, R Liu
Computing in civil engineering 2019: visualization, information modeling …, 2019
Unraveling the Temporal Importance of Community-scale Human Activity Features for Rapid Assessment of Flood Impacts
F Yuan, Y Yang, Q Li, A Mostafavi
IEEE Access, 2021
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding
F Yuan, Y Xu, Q Li, A Mostafavi
Computers, Environment and Urban Systems 97, 101870, 2022
樊颖, 吕鹏, 陈恺文, 陈明霞, 袁法喜, 黄有亮, 李德智
工程管理学报, 56-60, 2012
Historical redlining and food environments: A study of 102 urban areas in the United States
M Li, F Yuan
Health & Place 75, 102775, 2022
Operationalizing resilience practices in transportation infrastructure planning and project development
A Esmalian, F Yuan, AA Rajput, H Farahmand, S Dong, Q Li, X Gao, ...
Transportation Research Part D: Transport and Environment 104, 103214, 2022
Social media based demographics analysis for understanding disaster response disparity
F Yuan, M Li, W Zhai, B Qi, R Liu
Construction research congress 2020: Computer applications, 1020-1028, 2020
Characterizing equitable access to grocery stores during disasters using location-based data
A Esmalian, N Coleman, F Yuan, X Xiao, A Mostafavi
Scientific reports 12 (1), 20203, 2022
Unveiling spatial patterns of disaster impacts and recovery using credit card transaction variances
F Yuan, A Esmalian, B Oztekin, A Mostafavi
arXiv preprint arXiv:2101.10090, 2021
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