Postdoc
Management Science Division
DTU Management
Technical University of Denmark (DTU)
Akademivej, 358, 131
2800 Kgs. Lyngby
Denmark
In my work, I focus on solving applied optimization problems within the field of transportation. I am particularly interested in solving operational problems within the domains of public transportation and passenger mobility, but my research interests also extend to problems in urban logistics and sustainable logistics. Moreover, I am also interested in improving the mathematical programming methods used to solve problems within these domains.
Rowan Hoogervorst, Evelien van der Hurk, Philine Schiewe, Anita Schöbel, Reena Urban (2023)
Publisher Version Working Paper VersionNiels-Christian Fink Bagger, Evelien van der Hurk, Rowan Hoogervorst, David Pisinger (2022). Computers & Operations Research, 142, 105718.
Publisher VersionRowan Hoogervorst, Twan Dollevoet, Gábor Maróti and Dennis Huisman (2021). EURO Journal on Transportation and Logistics, 10, 100032.
Publisher Version Working Paper VersionDelays are a major nuisance to railway passengers. The extent to which a delay propagates, and thus affects the passengers, is influenced by the assignment of rolling stock. We propose to reschedule the rolling stock in such a way that the passenger delay is minimized and such that objectives on passenger comfort and operational efficiency are taken into account. We refer to this problem as the passenger delay reduction problem. We propose two models for this problem, which are based on two dominant streams of literature for the traditional rolling stock rescheduling problem. The first model is an arc formulation of the problem, whereas the second model is a path formulation. We test the effectiveness of these models on instances from Netherlands Railways (Nederlandse Spoorwegen). The results show that the rescheduling of rolling stock can significantly decrease passenger delays in the system. Especially, allowing flexibility in the assignment of rolling stock at terminal stations turns out to be effective in reducing the delays. Moreover, we show that the arc formulation–based model performs best in finding high-quality solutions within the limited time that is available in the rescheduling phase.
Publisher Version Working Paper VersionRowan Hoogervorst, Yingqian Zhang, Gamze Tillem, Zekeriya Erkin and Sicco Verwer (2019). Information Sciences, 500, 203-216.
Publisher Version Working Paper VersionRowan Hoogervorst, Evelien van der Hurk, Philine Schiewe, Anita Schöbel and Reena Urban. In: Proceedings of 22nd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2022)
Publisher VersionRowan Hoogervorst, Erik Essink, Wouter Jansen, Max van den Helder, Kim Schouten, Flavius Frasincar and Maite Taboada (2016). In: Bozzon A., Cudre-Maroux P., Pautasso C. (eds) Web Engineering. ICWE 2016. Lecture Notes in Computer Science, vol 9671. Springer, Cham
Publisher VersionBoris Grimm, Rowan Hoogervorst, Ralf Borndörfer (2023)
Arxiv versionRowan Hoogervorst (2021). ERIM Ph.D. Series Research in Management. Erasmus University Rotterdam.
Full TexthEART 2023, Zürich (September 6-8, 2023)
ORAHS 2023, Graz (July 16-21, 2023)
OR 2022, Karlsruhe (September 6-9, 2022)
EURO 2022, Helsinki (July 3-6, 2022)
EURO 2021, Athens + Online (July 11-14, 2021)
INFORMS Annual Meeting 2020, Virtual (November 7-13, 2020)
PresentationOR 2019, Dresden, Germany (September 3-6, 2019)
EURO 2019, Dublin, Ireland (June 23-26, 2019)
Lunteren Conference 2019, Lunteren, the Netherlands (January 13-15, 2019)
CASPT 2018, Brisbane, Australia (July 23-25, 2018)
IFORS 2017, Quebec City, Canada (July 17-21, 2017)
EURO 2016, Poznan, Poland (July 4-6, 2016)