M.D. (Menno) Yap
Menno Yap (1989) is working as PhD researcher. His research focuses on measuring and modelling reliability of multi-level public transport systems. Especially better understanding and modelling passenger behaviour during disruptions by inference from big data sources have his interest. Besides his PhD research, Menno also works as transport modelling consultant at Atkins, London. Menno holds his MSc in Transport, Infrastructure and Logistics, and his BSc in Systems Engineering, Policy Analysis and Management (both cum laude). In his spare time he volunteers as tram driver and advisor of the board of The Hague Public Transport Museum, the Netherlands.
Despite the importance of reliable and robust public transport operations, this topic is not considered from a full passenger perspective yet in science and practice. My PhD research therefore focuses on the following aspects:
- Measuring reliability: quantify reliability and the passenger and operator impact based on big data sources, such as AFC and AVL data
- Infer passenger behaviour: infer how passengers behave during planned and unplanned disruptions, particularly in relation to crowding and delay propagation over the network, and improve model parameters.
- Modelling disruptions and improve disruption strategies: short-term prediction of passenger flows during disruptions under different control strategies, to determine optimal control strategies
- Yap, M.D., Nijenstein, S. & Van Oort, N. (2018). Improving predictions of public transport usage during disturbances based on smart card data. Transport Policy, 61, pp. 84-95.
- Yap, M.D., Correia, G. & Van Arem, B. (2016). Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips. Transportation Research Part A, 94, pp. 1-16.
- Cats, O., Yap, M.D. & Van Oort, N. (2016). Exposing the role of exposure: Public transport network risk analysis. Transportation Research Part A, 88, pp. 1-14.
- Yap, M.D., Cats, O. & Van Arem, B. .(2017). Crowding valuation in urban tram and bus transportation based on smart card data. Prepared for Thredbo 2017: 15th International Conference Series on Competition and Ownership in Land Passenger Transport, Stockholm, Sweden.
- Yap, M.D., Cats, O., Van Oort, N. & Hoogendoorn, S.P. (2017). Robust transfer inference: a transfer inference algorithm for public transport journeys during disruptions. Prepared for the 20th EURO Working Group on Transportation Meeting 2017, Budapest, Hungary.
- Yap, M.D., Correia, G. & Van Arem, B. (2015). Valuation of travel attributes for using automated vehicles as egress transport of multimodal train trips. Transportation Research Procedia, 10, pp. 462-471.
- Van Oort, N., Drost, M., Brands, T. & Yap, M.D. (2015). Data-driven public transport ridership prediction approach including comfort aspects. Conference on Advanced Systems in Public Transport, Rotterdam, the Netherlands.
- Yap, M.D., Van Oort, N., Van Nes, R. & Van Arem, B. (2015). Robustness of multi-level public transport networks: A methodology to quantify robustness from a passenger perspective. 6th International Symposium on Transportation Network Reliability (INSTR), Nara, Japan.
- Transport modeller at Atkins, London
- Responsible for initiation and implementation of Hop-on Hop-off Tourist Tram in The Hague, the Netherlands
- Advisor of board of The Hague Public Transport Museum (voluntary)
- Historical tram driver The Hague (voluntary)
- Van Oort, N., Brands, T., de Romph, E. & Yap, M.D. (2016). Ridership Evaluation and Prediction in Public Transport by Processing Smart Card Data: A Dutch Approach and Example. Chapter 11, Public Transport Planning with Smart Card Data, eds. Kurauchi F., Schmöcker, J.D., CRC Press.
- Awarded best paper (feasibility study automated vehicles) at CVS conference 2016 in the Netherlands
- Nominated for Michael Beesley Award during Thredbo 2017 conference, Stockholm, Sweden
- Awarded top-2 best MSc Thesis of 2014 and 2015 by Royal Netherlands Society of Engineers (KIVI)
- Awarded top-5 best paper based on MSc Thesis at CVS conference 2014 in the Netherlands