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 | 410 | 2016 |
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 | 220 | 2020 |
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 | 86 | 2016 |
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 | 83 | 2022 |
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 | 71 | 2019 |
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 | 62 | 2018 |
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, 1161-1180, 2018 | 59 | 2018 |
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 | 57 | 2015 |
Predicting disruptions and their passenger delay impacts for public transport stops M Yap, O Cats Transportation 48 (4), 1703-1731, 2021 | 50 | 2021 |
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 | 43 | 2017 |
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 | 39 | 2021 |
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 | 26 | 2018 |
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 | 20 | 2016 |
Data-driven public transport ridership prediction approach including comfort aspects N van Oort, M Drost, T Brands, M Yap 13th CASPT Conference, 2015 | 18 | 2015 |
Analysis and prediction of disruptions in metro networks M Yap, O Cats 2019 6th International Conference on Models and Technologies for Intelligent …, 2019 | 17 | 2019 |
Robust public transport from a passenger perspective: a study to evaluate and improve the robustness of multi-level public transport networks MD Yap University of Delft http://resolver. tudelft. nl/uuid: 86ebd5bc-49a1-4cf0 …, 2014 | 13 | 2014 |
Public transport crowding valuation in a post-pandemic era M Yap, H Wong, O Cats Transportation 52 (1), 287-306, 2025 | 9 | 2025 |
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 | 9 | 2022 |
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 | 9 | 2015 |
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 | 8 | 2015 |