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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
2582016
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
1152020
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
702016
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
392018
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
382018
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
322019
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
322015
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
312017
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
172016
Robust public transport from a passenger perspective: a study to evaluate and improve the robustness of multi-level public transport networks
MD Yap
172014
Predicting disruptions and their passenger delay impacts for public transport stops
M Yap, O Cats
Transportation 48 (4), 1703-1731, 2021
152021
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
142018
Data-driven public transport ridership prediction approach including comfort aspects
N van Oort, M Drost, T Brands, M Yap
13th CASPT Conference, 2015
112015
Beyond the dichotomy: How ride-hailing competes with and complements public transport
O Cats, R Kucharski, SR Danda, M Yap
Plos one 17 (1), e0262496, 2022
102022
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
82021
Analysis and prediction of disruptions in metro networks
M Yap, O Cats
2019 6th International Conference on Models and Technologies for Intelligent …, 2019
82019
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
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
Quantification and control of disruption propagation in multi-level public transport networks
M Yap, O Cats, JT Krasemann, N van Oort, S Hoogendoorn
International Journal of Transportation Science and Technology 11 (1), 83-106, 2022
52022
Innovations in the appraisal of public transport projects
N van Oort, M Yap
Advances in Transport Policy and Planning 7, 127-164, 2021
52021
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