Trip chain and mode choices take the important role in transportation and tourism planning in tourist destination. This study analyzed the characteristic of individual and tourist trip to design models of trip chain and mode in Bali Island. These models are needed by the government and stakeholders in drafting regulations, innovation technology, marketing strategies, providing infrastructure and managing traffic. Data collection was conducted randomly through an interview-based questionnaire for international tourist to record the daily trips. The significance analysis of independence variables used multinomial regression. The result shows number of variables which significantly impacts trip chain and mode are age, education, number of visits, length of stay, distance, travel time and cost. Modeling used conditional regression. The model of trip chain shows that the increase in travel time and cost will be considered to prefer less on smallest chain or trip chain 2 choices, especially for repeater tourist. The probability is the more repetition visit of tourist in that island, it will be the more number of trip chain chosen. On mode choice based on operator shows that tourists who have performed trip chain 2-4 have the highest probability was Rent-Car, whereas who completed trip chain 5 or more have the highest probability was Rent-Motorcycle. This result indicates trend to transform of mode choice from car becoming motorcycle for the more number of trip chain has been made in similar operator. The more efficient modes needed for more number of trip chain with low cost and long distance.