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 public transport modeller at Transport for London (TfL). He integrates the perspectives of science and industry. His aim is to bring these worlds closer to each other, by first identifying and understanding problems from practice, and then developing state-of-the-art methods to contribute solving them.

Menno holds his MSc in Transport, Infrastructure and Logistics, and his BSc in Systems Engineering, Policy Analysis and Management (both cum laude). He also has a Minor in Social and Organizational Psychology and a Propedeuse in Medicine.

In his spare time he volunteers as tram driver and advisor of the board of the Public Transport Museum The Hague, the Netherlands.

Yap M. and Cats O. (2019).  “Predicting and Clustering Station Vulnerability in Urban Networks”. TransitData2019, Paris. July 2019.


Yap M., Luo D., Cats O., van Oort N. and Hoogendoorn S. (2019). Where Shall We Sync? Clustering Passenger Flows to Identify Urban Public Transport Hubs and Their Key Synchronization Priorities. Transportation Research Part C, 98, 433-448.


Yap, M.D. and Munizaga, M. (2019). Workshop report 8: Big data in the digital age and how it can benefit public transport users. Research in Transport Economicshttps://doi.org/10.1016/j.retrec.2018.08.008


Yap, M.D., Cats, O. (2019). Analysis and Prediction of Disruptions in Metro Networks. 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Krakow, Poland.


Brands, T., N. van Oort, M. Yap (2018), Automatic bottleneck detection using AVL data: a case study in Amsterdam, Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia.


Van Oort, N. and Yap, M.D. (2018). AI-technieken winnen terrein. OV Magazine 2018-3.


Yap M., Cats O. and van Arem B. (2018). Crowding Valuation in Urban Tram and Bus Transportation based on Smart Card Data. Transportmetrica A. DOI: 10.1080/23249935.2018.1537319.


Yap M., Cats O., van Oort N. and Hoogendoorn S. “Controlling the propagation of passenger disruption impacts in multi-level public transport networks”. OR 2018: International Conference on Operations Research, Brussels, Belgium. September 2018.


Yap M., Cats O., van Oort N. and Hoogendoorn S. “Controlling the Propagation of Passenger Disruption Impacts in Multi-level Public Transport Networks”. 7th European Symposium on Quantitative Methods in Transportation Systems (hEART), Athens, Greece, September 2018.


Yap M., Luo D. and Cats O. (2018). Using Passenger Flows to Determine Key Interchange Connections. Conference on Advanced Systems in Public Transport (CASPT), Brisbane, Australia. Proceedings of the Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia.


Yap M., Luo D. and Cats O. “Where Shall We Sync? Using Passenger Flows to Determine Key Interchange Connections”. Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia. July 2018.


Yap, M., N. van Oort (2018), Driver schedule efficiency vs. public transport robustness: A framework to quantify this trade-off based on passive data, Conference on Advanced Systems in Public Transport and TransitData (CASPT), Brisbane, Australia.


Yap, M.D. (2018). OV-reis lijkt fors langer bij drukte (in Dutch). OVPro.nl


Yap, M.D. (2018). Wachten op de cijfers van Menno (in Dutch). AD Newspaper.


Yap, M.D. (2018). Wat kost een OV-storing de reiziger en maatschappij werkelijk? (in Dutch) OVPro.nl


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., Van Oort, N., Van Nes, N., Van Arem, B. (2018). Identification and quantification of link vulnerability in multi-level public transport networks: a passenger perspective. Transportation. https://doi.org/10.1007/s11116-018-9892-5


Lee, A., Yap, M.D. & Van Oort, N. (2017). Overstappen en onbetrouwbaarheid in het OV: Een methode voor kwantificering van reizigerseffecten in een netwerkcontext. Tijdschrift Vervoerwetenschap, 53(1), pp. 36-53.


Scheltes, A.F., Yap, M.D. & Van Oort, N. (2017). Reizigerspotentie en –voorkeuren ten aanzien van zelfrijdende voertuigen op de last-mile in een openbaar vervoer reis. Tijdschrift Vervoerwetenschap, 53(2), pp. 3-8.


Van Oort, N., A. de Koning, S. van der Drift, M.D. Yap. (2017). Insights into door-to-door dynamics of public transport riders by app, survey and AVL data; case of Amsterdam metropolitan area. TransitData, 3rd Internatonal workshop and symposium, Santiago de Chile.


Van Oort, N., Cats, O., Yap, M.D. (2017). Vervoer op afroep is niet meer te stuiten (in Dutch). OV Magazine.


Yap M., Cats O., Yu S. and van Arem B. (2017). Crowding Valuation in Urban Tram and Bus Transportation based on Smart Card Data. The 5th International Conference Series on Competition and Ownership in Land Passenger Transport (Thredbo17), 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. Transportation Research Procedia, 27, pp. 1042-1049.


Yap, M.D., Cats, O., Yu, S. & Van Arem, B. (2017). Crowding valuation in urban tram and bus transportation based on smart card data. Thredbo 15: Competition and Ownership in Land Passenger Transport, Vol.15, Stockholm: Sweden.


Yap, M.D., S. Nijensteijn, N. van Oort (2017). Improving predictions of the impact of disturbances on public transport usage based on smart card data. Proceedings of the Transportation Research Board 96th annual meeting. Washington DC.


Cats, O., M. Yap, N. van Oort (2016) Exposing the role of exposure: Public transport network risk analysis, Transportation Research Part A: Policy and Practice, Volume 88, pp. 1-14,


Scheltes, A.F., M.D. Yap, N. van Oort (2016). Het verbeteren van de last-mile in een OV reis met automatische voertuigen; Een Delftse case studie en stated preference onderzoek gecombineerd. In s.n. (Ed.), Colloquium vervoersplanologisch speurwerk, Zwolle.


Van Oort, N., T. Brands, E. de Romph, M. Yap (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.


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. (2015). Exposing the role of exposure: identifying and evaluating critical links in public transport networks. 6th International Symposium on Transportation Network Reliability (INSTR), Nara, Japan.


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., 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.


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.


Yap, M.D., Van Oort, N., Van Nes, R. & Van Arem, B. (2015). Robuustheid van multi-level openbaar vervoer netwerken: Een methodologie om (on)robuustheid te kwantificeren vanuit een reizigersperspectief. Tijdschrift Vervoerwetenschap, 51(1), pp. 82-99.


Yap, M.D., Van Oort, N. (2014). Robuust OV, uitgedrukt in euro’s (in Dutch). OV Magazine.


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