Menno Yap
Menno Yap
Verifierad e-postadress på TUDelft.nl
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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
1912016
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
752020
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
582016
Improving predictions of public transport usage during disturbances based on smart card data
MD Yap, S Nijënstein, N van Oort
Transport Policy 61, 84-95, 2018
262018
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
252018
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
242015
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
222019
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
222017
Robust public transport from a passenger perspective: a study to evaluate and improve the robustness of multi-level public transport networks
MD Yap
152014
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
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
142016
Data-driven public transport ridership prediction approach including comfort aspects
N van Oort, M Drost, T Brands, M Yap
13th CASPT Conference, 2015
102015
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
62019
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
62015
Predicting disruptions and their passenger delay impacts for public transport stops
M Yap, O Cats
Transportation, 1-29, 2020
52020
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
Innovations in the appraisal of public transport projects
N van Oort, M Yap
Advances in Transport Policy and Planning, 127-164, 2021
32021
Measuring, predicting and controlling disruption impacts for urban public transport
M Yap
TRAIL, 2020
32020
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Artiklar 1–20