VLDB 2026 Research / reviewers in the wild / expert
Evelien van der Hurk
dblp:158/8200
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-4521-3283ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | The Edge Investment Problem: Upgrading Transit Line Segments with Multiple Investing PartiesabstractBus Rapid Transit (BRT) systems can provide a fast and reliable service to passengers at lower costs compared to tram, metro and train systems. Therefore, they can be of great value to attract more passengers to use public transport, which is vital in reaching the Paris Agreement Targets. However, the main advantage of BRT systems, namely their flexible implementation, also leads to the risk that the system is only implemented partially to save costs. This paper focuses therefore on the Edge Investment Problem: Which edges (segments) of a bus line should be upgraded to full-level BRT? Motivated by the construction of a new BRT line around Copenhagen, we consider a setting in which multiple parties are responsible for different segments of the line. Each party has a limited budget and can adjust its investments according to the benefits provided to its passengers. We suggest two ways to determine the number of newly attracted passengers, prove that the corresponding problems are NP-hard and identify special cases that can be solved in polynomial time. In addition, problem relaxations are presented that yield dual bounds. Moreover, we perform an extensive numerical comparison in which we evaluate the extent to which these two ways of modeling demand impact the computational performance and the choice of edges to be upgraded. Rowan Hoogervorst, Evelien van der Hurk, Philine Schiewe, Anita Schöbel, Reena Urban |
ATMOS | 2 |
| 2015 | Deduction of Passengers' Route Choices From Smart Card DataabstractDeducing passengers' route choices from smart card data provides public transport operators the opportunity to evaluate and improve their passenger service. Particularly in the case of disruptions, when traditional route choice models may not be valid, this is an advantage. This paper proposes a method for deducing the chosen route of passengers based on smart card data and validates this method on a real-life data set. The method deduces the correct route for about 95% of the journeys per day in our validation sample, and also in the case of disruptions. Moreover, it is shown how this method can be used to analyze and evaluate passenger service by a case study based on a real-life data set of Netherlands Railways, which is the largest passenger railway operator in the Netherlands. Evelien van der Hurk, Leo G. Kroon, Gábor Maróti, Peter H. M. Vervest |
IEEE Trans. Intell. Transp. Syst. | 1 |