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Dixit, M. (author), Cats, O. (author), van Oort, N. (author), Brands, T. (author), Hoogendoorn, S.P. (author)
Validation of travel demand models, although recognised as important, is seldom undertaken. This study adds to the scarce literature in this field by undertaking an external validation of a multi-modal transit route choice model. The model was estimated using smart card data for the urban transit network of Amsterdam before the introduction...
journal article 2023
document
Yap, M.D. (author), Cats, O. (author), Törnquist Krasemann, Johanna (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
Due to the multi-level nature of public transport networks, disruption impacts may spill-over beyond the primary effects occurring at the disrupted network level. During a public transport disruption, it is therefore important to quantify and control the disruption impacts for the total public transport network, instead of delimiting the...
journal article 2022
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Dixit, M. (author), Cats, O. (author), Brands, T. (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
Capturing unobserved correlation between overlapping routes is a non-trivial problem in route choice modelling. For urban transit networks, research so far has been inconclusive on how this overlap is perceived by travellers. We estimate a series of path size correction logit (PSCL) models to account for alternative specifications of route...
journal article 2021
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Narayan S., Jishnu (author), Cats, O. (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
The recent technological innovations in various ICT platforms have given rise to innovative mobility solutions. Such systems could potentially address some of the inherent shortcomings of a line/schedule based public transport system. Previous studies either assumed that flexible on-demand services are used as an exclusive door-to-door...
journal article 2020
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Yap, M.D. (author), Luo, D. (author), Cats, O. (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
Minimizing passenger transfer times through public transport (PT) transfer synchronization is important during tactical planning and real-time control. However, there are computational challenges for solving this Timetable Synchronization Problem (TSP) for large, real-world urban PT networks. Hence, in this study we propose a data-driven,...
journal article 2019
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