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Menno Yap
Menno Yap
Verified email at TUDelft.nl
Title
Cited by
Cited by
Year
Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips
MD Yap, G Correia, B Van Arem
Transportation research part a: policy and practice 94, 1-16, 2016
2422016
Crowding valuation in urban tram and bus transportation based on smart card data
M Yap, O Cats, B van Arem
Transportmetrica A: Transport Science 16 (1), 23-42, 2020
1112020
Exposing the role of exposure: Public transport network risk analysis
O Cats, M Yap, N van Oort
Transportation Research Part A: Policy and Practice 88, 1-14, 2016
672016
Identification and quantification of link vulnerability in multi-level public transport networks: a passenger perspective
MD Yap, N van Oort, R van Nes, B van Arem
Transportation 45 (4), 1161-1180, 2018
342018
Improving predictions of public transport usage during disturbances based on smart card data
MD Yap, S Nijėnstein, N van Oort
Transport Policy 61, 84-95, 2018
332018
A robust transfer inference algorithm for public transport journeys during disruptions
MD Yap, O Cats, N van Oort, SP Hoogendoorn
Transportation research procedia 27, 1042-1049, 2017
322017
Where shall we sync? Clustering passenger flows to identify urban public transport hubs and their key synchronization priorities
M Yap, D Luo, O Cats, N van Oort, S Hoogendoorn
Transportation Research Part C: Emerging Technologies 98, 433-448, 2019
312019
Valuation of travel attributes for using automated vehicles as egress transport of multimodal train trips
MD Yap, G Correia, B van Arem
Transportation Research Procedia 10, 462-471, 2015
282015
Workshop 8 report: Big data in the digital age and how it can benefit public transport users
M Yap, M Munizaga
Research in Transportation Economics 69, 615-620, 2018
182018
Robust public transport from a passenger perspective: a study to evaluate and improve the robustness of multi-level public transport networks
MD Yap
162014
Ridership evaluation and prediction in public transport by processing smart card data: a Dutch approach and example
N van Oort, T Brands, E De Romph, M Yap
Public Transport Planning with Smart Card Data, 197-224, 2016
152016
Predicting disruptions and their passenger delay impacts for public transport stops
M Yap, O Cats
Transportation 48 (4), 1703-1731, 2021
142021
Data-driven public transport ridership prediction approach including comfort aspects
N van Oort, M Drost, T Brands, M Yap
13th CASPT Conference, 2015
112015
Robustness of multi-level public transport networks: a methodology to quantify robustness from a passenger perspective
MD Yap, N Van Oort, R Van Nes, B Van Arem
Tijdschrift Vervoerswetenschap 51 (1), 82-99, 2015
82015
Analysis and prediction of disruptions in metro networks
M Yap, O Cats
2019 6th International Conference on Models and Technologies for Intelligent …, 2019
72019
Opportunities and challenges for automated vehicles in the Zuidvleugel
B van Arem, N van Oort, M Yap, B Wiegmans, G Correia
Delft University of Technology, 36, 2015
72015
Taking the path less travelled: Valuation of denied boarding in crowded public transport systems
M Yap, O Cats
Transportation Research Part A: Policy and Practice 147, 1-13, 2021
52021
Innovations in the appraisal of public transport projects
N van Oort, M Yap
Advances in Transport Policy and Planning 7, 127-164, 2021
52021
Driver schedule efficiency vs. public transport robustness: A framework to quantify this trade-off based on passive data
M Yap, N van Oort
Proceedings of the 14th Conference on Advanced Systems in Public Transport …, 2018
52018
Exposing the role of exposure: identifying and evaluating critical links in public transport networks
O Cats, MD Yap, N Van Oort
INSTR conference, Nara, Japan, 2015
52015
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