U013
Mapping the Built Environment: New Data, Advances, and Challenges in Creating Detailed Understanding of Building Characteristics from Materials to Occupancy
Session ID#: 161213
Session Description:
Modeling and mapping details about the built environment is growing in demand across sectors including government, industry, and academia. The availability of detailed building-level characteristics with full geographic coverage has critical implications for human health and security including emergency preparedness and response, infrastructure and energy resilience and reliability, and urban development and sustainability.
Breakthroughs in big spatial data acquisition via Earth observation join a rising tide of open-source data. These, combined with advances in high-performance workflows and algorithms create new opportunities to capture comprehensive information about the built environment at unprecedented scale.
The variety of applications that depend on building information necessitates careful consideration during model development and data generation. Varying levels of granularity may be required for properties of buildings including geometry, function, occupancy, and construction materials, and decisions made throughout the data lifecycle have implications for capturing provenance and fitness for use.
This session will bring together researchers and practitioners to discuss key use cases of building data and current limitations and challenges deriving such data to set the stage for future research. We invite papers in the following areas, but not limited to:
- Vision papers on challenges and opportunities for built environment characterization
- Ontologies and taxonomies describing buildings and their spatial context
- Data collection, curation, and standardization
- Modeling and simulation of buildings
- Integration of BIM and GIS
- Encoding engineering knowledge in building models
- Privacy and ethical considerations
Co-Sponsor(s):
Index Terms:
1926 Geospatial [INFORMATICS]
1952 Modeling [INFORMATICS]
4323 Human impact [NATURAL HAZARDS]
4327 Resilience [NATURAL HAZARDS]
Primary Convener: Amy Rose, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Conveners: Robert Stewart, Oak Ridge National Laboratory, Geographic Data Science, Oak Ridge, TN, United States, Kishor Jaiswal, Research Civil Engineer, U.S. Geological Survey, Denver, CO, United States, Bandana Kar, Oak Ridge National Laboratory, Geospatial Science and Human Security Division, Oak Ridge, TN, United States and Charles K Huyck, ImageCat, Inc., Long Beach, CA, United States
National Structure Inventory: Cataloging the Built Environment for Natural Hazard Risk Assessments (Invited) (1113153)
Jesse Rozelle, Federal Emergency Management Agency, Natural Hazards Risk Assessment Program, Washington, D.C., United States, Alex Ryan, US Army Corps of Engineers, Inland Navigation Center of Expertise, Louisville, United States, Lutz, Nicholas J, USACE Hydrologic Engineering Center, Water Resources Systems Division, Davis, United States and William Lehman, U.S. Army Corps of Engineers, West Sacramento, United States
Incorporating Uncertainty in Building Occupancy Estimates Derived from Location-Based Services Data. (Invited) (1121031)
Jesse Piburn1, Marie Urban1, Robert Stewart2 and Gautam Thakur1, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, Geographic Data Science, Oak Ridge, TN, United States
Advances in FEMA Hazus National Datasets for Loss Estimation (Invited) (1185115)
Douglas Bausch1, Casey Zuzak2, Jennifer Ross3, Madeline Jones4, Jesse Rozelle2, Hope Seligson5, Brian Cunningham3, Ashley Hoke6, Ledwell Eliza3, Maureen Kelly7, Anne Sheehan2 and Colin Lindeman8, (1)NiyamIT Inc., Kihei, United States, (2)Federal Emergency Management Agency, Natural Hazards Risk Assessment Program, Washington, D.C., United States, (3)NiyamIT, Fairfax, United States, (4)NiyamIT, Austin, United States, (5)Seligson Consulting, Long Beach, CA, United States, (6)NiyamIT, Denver, United States, (7)Federal Emergency Management Agency, Natural Hazards Risk Assessment Program, Washington D.C., United States, (8)NiyamIT, Makawao, United States
