Data Driven Approach for High Resolution Population Distribution and Dynamics Models

Conference · Wed Jan 01 00:00:00 EST 2014

DOI:https://doi.org/10.1109/WSC.2014.7019945· OSTI ID:1185543

Bhaduri, Budhendra L ^[1]; Bright, Eddie A ^[1]; Rose, Amy N ^[1]; Liu, Cheng ^[1]; Urban, Marie L ^[1]; Stewart, Robert N ^[1]

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1. ORNL

High resolution population distribution data are vital for successfully addressing critical issues ranging from energy and socio-environmental research to public health to human security. Commonly available population data from Census is constrained both in space and time and does not capture population dynamics as functions of space and time. This imposes a significant limitation on the fidelity of event-based simulation models with sensitive space-time resolution. This paper describes ongoing development of high-resolution population distribution and dynamics models, at Oak Ridge National Laboratory, through spatial data integration and modeling with behavioral or activity-based mobility datasets for representing temporal dynamics of population. The model is resolved at 1 km resolution globally and describes the U.S. population for nighttime and daytime at 90m. Integration of such population data provides the opportunity to develop simulations and applications in critical infrastructure management from local to global scales.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: Work for Others (WFO)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1185543
• Resource Relation: Conference: Winter Simulation Conference 2014, Savannah, GA, USA, 20141207, 20141210
• Country of Publication: United States
• Language: English

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