Despite that a lot of research has been carried out for the development of routing algorithms, research for multimodal trip planning is still limited. Even more scarce is the research on incorporating individual preferences in multimodal trip planning; yet, this incorporation is essential since not all users are willing (or they are not equally willing) or capable of using all the different modes of transportation. The main contribution of this paper is the conceptualization of how multimodal trip planners’ results can be customized based on: a) user’s responses in a specific set of questions that aim to capture their preferences, b) the revealed preferences of the users that are automatically collected. The first case is being demonstrated within this paper for the case of Thessaloniki, Greece. The developed multimodal trip planner identifies various alternative combinations of shared modes and walking and for each combination calculates the travel cost, travel duration and number of modes changes. The alternative combinations are being prioritized based on a generalized cost function. The outcomes of this paper can be of interest for researchers, who develop trip planners, and for MaaS operators and authorities that are intending to offer multimodal planning services.