SeoulHealthSim

A cellular automata-based ABM investigating how differences in socio-demographics in Seoul districts entailed uneven health impacts attributed to PM10 exposure

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This project evaluates the health effects of long-term exposure to PM in Seoul districts. An in silico agent-based model (ABM) is used to simulate travel patterns of individuals according to their origins and destinations. During the simulation, each person, with their inherent socio-economic attributes and allocated origin and destination location, is assumed to commute to and from the same places for 10 consecutive years while a nominal measure of their health is set to decrease whenever the concentration of PM₁₀ exceeds the national standard.