The importance of spatial distribution of urban population data is analyzed. Aiming at the disadvantages of the usual methods of urban population distribution

a simulation model for urban population distribution is developed with integration of multi-agent and population migration theory (Simulation Model for Urban Population Distribution-SMUPD)

which consists of external environment

multi-agent and rules. Residential land has been divided into regular residential cells

based on the initial condition; each residential cell has the same amount of agent. Agents decide whether to migrate or not

and select the appropriate residential cell to make migration. The population distribution is formed by means of the constant decision-making

consult and migration of agents. Experiments indicate that

the simulation result of SMUPD not only has higher accuracy

but also is close to the actual residential segregation pattern. In conclusion

the SMUPD provides a new way of modeling urban population distribution.