Explanipedia

A Novel Machine Learning Workflow to Classify Mobile Home Parks at Scale Open

Clinton Stipek, S. S. Nathawat, Taylor Hauser, Nagendra Singh · 2025

Understanding the built environment is essential to the overall study of population dynamics, grid infrastructure, emergency response, among others. In the United States there are multiple classifications for buildings within the built env…

SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics Open

Daniel Adams, Jessica Moehl, Clinton Stipek, Taylor Hauser, Peter Li · 2024

Building characteristics are often absent in building stock datasets, particularly in regions most vulnerable to climate change and requiring effective disaster management strategies. Traditional machine learning approaches, while widely u…

Multivariate Testing of Sampling Techniques to Address Class Imbalance in Building Use Type Classification Open

Daniel Adams, Taylor Hauser, H. Lexie Yang, Peter Li · 2024

Computer science Mathematics

This study addresses the challenges inherent in building use type classification, particularly focusing on the issue of class imbalance in the training datasets for machine learning classifiers. We comprehensively analyze the efficacy of v…

Updates to USA Structures (Phase 3 Prototype): 2023-2024 Technical Report Open

H. Lexie Yang, Taylor Hauser, Benjamin Swan, Joe Tuccillo, Abhishek Potnis , et al. · 2024

Computer science

The Oak Ridge National Laboratory (ORNL) team has successfully innovated geospatial data feature mapping and postprocessing workflows to support the USA Structures project supported by FEMA. This technical report highlights significant upd…

Inferring building height from footprint morphology data Open

Clinton Stipek, Taylor Hauser, Daniel Adams, Justin Epting, Christa Brelsford , et al. · 2024

Computer science Environmental science Geography

As cities continue to grow globally, characterizing the built environment is essential to understanding human populations, projecting energy usage, monitoring urban heat island impacts, preventing environmental degradation, and planning fo…

HumoNet: A Framework for Realistic Modeling and Simulation of Human Mobility Network Open

Joon-Seok Kim, Gautam Thakur, Licia Amichi, Annetta Burger, Chathika Gunaratne , et al. · 2024

Computer science

Understanding, analyzing, and predicting human mobility and dynamics are valuable to solving pressing problems, developing effective plans, and prescribing timely remedies. As a computational approach, realistic human mobility simulations …

Decoding Ethiopian Abodes: Towards Classifying Buildings by Occupancy Type Using Footprint Morphology Open

Daniel Adams, Taylor Hauser, Jessica Moehl · 2023

Computer science Geography Engineering

Building occupancy classification plays a crucial role in urban planning, disaster management, and population modeling. Traditional methods often require extensive field surveys or detailed datasets, which can be time-consuming, expensive,…

USA Structures Phase 2 Technical Report Open

Taylor Hauser, Jessica Moehl, Erik Schmidt, Bennett Morris, Daniel Adams , et al. · 2023

Environmental science Engineering Computer science

Spatially accurate data of critical infrastructures are essential to effective disaster preparedness, response, and recovery. Precise location and building outlines provide the most accurate data for characterizing impacts of hazards and e…

An Environmental Justice Lens for Measuring Neighborhood Scale Vulnerability Open

Nagendra Singh, Joe Tuccillo, Christa Brelsford, Taylor Hauser, Sujithkumar Surendrannair · 2022

Environmental science Chemistry Psychology

Environmental justice is a key aspect of the federal government’s strategy for managing the adverse impacts of climate change. Nevertheless, we do not currently have robust tools for projecting the differential socio-economic risks of futu…

GA Bldgs - ORNL USA Structure Dataset Open