This research employs techniques of mathematical models, geographical information systems, cellular automata, and transportation accessibility to simulate the population growth along the Taipei's Mass Rapid Transit (MRT) Nei-hu Line. A grid system of 120-meter resolution is used. The population from 2993 to 2003 is assigned to grids according annual population statistics and land use. The experience of urban development along MRT Jing-mei Line is studies. Regression models are established by considering the factors of land use, transportation facilities, and population growth trends including surrounding areas. Regression models are integrated into cellular models to simulate the future population growth along MRT Nei-hu Line. The result is very helpful for urban planners to make appropriate policies.