Rapidly growing urban populations necessitate the development of integrated multimodal transport systems (MMTS) for efficient and sustainable mobility. This bibliometric study reviews research on MMTS travel time modeling and evaluation over a 30-year period, encompassing 1402 documents, including articles, reviews, and proceedings papers. The annual publication trajectory highlights the increasing research interest, with peaks in 2021–2022. Core journals driving MMTS discourse include ‘Transportation Research Record’ and ‘Sustainability.’ Keyword analysis reveals clusters focusing on travel time, reliability, behavior, and public transport integration. The quantitative synthesis presents a comprehensive perspective of influential studies, authors, events, and thematic connections surrounding MMTS travel time research. Results show a growth in studies utilizing big data analytics and AI to evaluate reliability and congestion impacts across interconnected multimodal networks. However, the quantification and modeling specifically focused on travel time performance remain limited. This review establishes an informative foundation and identifies critical areas requiring further research to advance multimodal transport planning and operations. It signals promising avenues at the intersection of sustainable, technology-driven MMTS and travel time optimization for urban commuters. The identified research gap suggests that this study will be valuable for researchers, and the bibliometric analysis provides empirical insights to guide future scholarly activity in this domain.