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Method Gives Workplace Assignments to Synthetic Populations


network of people

The researchers say their assignment method works for all cities, towns, and villages in Japan.

Credit: Getty Images

Researchers in Japan have developed a way to assign workplaces to individuals in synthetic populations, computer-generated models that are useful when conducting social simulations.

The approach uses statistics on origin, destination, and industry to estimate workplaces for workers. Researchers Takuya Harada, an assistant professor at Shibaura Institute of Technology, as well as Tadahiko Murata and Daiki Iwase at Kansai University, show that 88.2% of workers in a city in Japan were assigned to correct cities as workplaces by their proposed method. They describe their work in IEEE Transactions on Computational Social Systems.

"Synthetic populations with workplace attributes enable real-scale social simulations to design transport or business systems in times of peace or to estimate victims and plan recoveries in times of emergency, such as disasters or pandemics," the researchers write.

From Shibaura Institute of Technology
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