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09/18/2023
Untangling The Relationship Between Power Outage and Population Activity Recovery in Disasters
Despite recognition of the relationship between infrastructure resilienc...
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08/11/2023
MaxFloodCast: Ensemble Machine Learning Model for Predicting Peak Inundation Depth And Decoding Influencing Features
Timely, accurate, and reliable information is essential for decision-mak...
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07/20/2023
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation
Generating realistic human flows across regions is essential for our und...
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07/03/2023
Mobility Behaviors Shift Disparity in Flood Exposure in U.S. Population Groups
Current characterization of flood exposure is largely based on residenti...
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06/20/2023
Decoding Urban-health Nexus: Interpretable Machine Learning Illuminates Cancer Prevalence based on Intertwined City Features
This study investigates the interplay among social demographics, built e...
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06/16/2023
Beyond Residence: A Mobility-based Approach for Improved Evaluation of Human Exposure to Environmental Hazards
Evaluating human exposure to environmental hazards is crucial for identi...
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06/05/2023
ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images
We propose an automated lowest floor elevation (LFE) estimation algorith...
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03/24/2023
Unraveling Extreme Weather Impacts on Air Transportation and Passenger Delays using Location-based Data
Extreme weather poses significant threats to air transportation systems,...
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03/20/2023
AI-assisted Protective Action: Study of ChatGPT as an Information Source for a Population Facing Climate Hazards
ChatGPT has been emerging as a novel information source, and it is likel...
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10/18/2022
Graph Attention Networks Unveil Determinants of Intra- and Inter-city Health Disparity
Understanding the determinants underlying variations in urban health sta...
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09/20/2022
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes
The spread of COVID-19 revealed that transmission risk patterns are not ...
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08/03/2022
DAHiTrA: Damage Assessment Using a Novel Hierarchical Transformer Architecture
This paper presents DAHiTrA, a novel deep-learning model with hierarchic...
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05/10/2022
Homophilic and Heterophilic Characteristics Shaping Community Formation in Human Mobility Networks During Extreme Weather Response
Community formation in socio-spatial human networks is one of the import...
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03/13/2022
Location Intelligence Reveals the Extent, Timing, and Spatial Variation of Hurricane Preparedness
Improving hurricane preparedness is essential to reduce hurricane impact...
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10/24/2021
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
In this study, we propose using a neural embedding model-graph neural ne...
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08/28/2021
Tracing app technology: An ethical review in the COVID-19 era and directions for post-COVID-19
We conducted a systematic literature review on the ethical consideration...
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06/06/2021
Multi-agent Modeling of Hazard-Household-Infrastructure Nexus for Equitable Resilience Assessment
To enable integrating social equity considerations in infrastructure res...
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04/06/2021
Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding
The objective of this study is to predict the near-future flooding statu...
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01/15/2021
Unveiling Spatial Patterns of Disaster Impacts and Recovery Using Credit Card Transaction Variances
The objective of this study is to examine spatial patterns of impacts an...
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10/04/2020
Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management
People increasingly use social media to report emergencies, seek help or...
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09/02/2020
Adaptive Reinforcement Learning Model for Simulation of Urban Mobility during Crises
The objective of this study is to propose and test an adaptive reinforce...
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07/31/2020
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions
In this paper, we propose a deep learning model to forecast the range of...
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06/15/2020
A Hybrid Deep Learning Model for Predictive Flood Warning and Situation Awareness using Channel Network Sensors Data
The objective of this study is to create and test a hybrid deep learning...
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04/07/2020