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This paper uses 27,191 revealed travel mode choice preference data collected in October 2010, to study the impacts of internal migration, household registration system, and family planning policy on travel mode choice in Foshan City, China. To address the complex impacts of internal migration on travel mode choice in China, travel mode choice models are estimated by age, gender, and residential status (migrants and residents). A number of contributing factors are found to affect travel mode choice, such as: individual and household sociodemographic characteristics, trip-specific characteristics, residential location characteristics, and travelers’ perspectives in reference to travel mode choices, transportation improvements for the city, and relaxation of China’s one-child policies. For model estimation, correlated random parameters logit models are estimated, to account for unobserved heterogeneity and for …