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Results: 23
Number of items: 23
  • Open Access
    Nijsten, T., Dorsman, J.-P., Walraven, E., Mandjes, M., & Snelder, M. (2026). Multi-objective optimisation of parking capacities in urban areas. Transportation Research Procedia, 95, 353-360. https://doi.org/10.1016/j.trpro.2026.02.045
  • Open Access
    Zhou, H., Dorsman, J. L., Mandjes, M., & Snelder, M. (2025). A tour-based multimodal mode choice model for impact assessment of new mobility concepts and mobility as a service. Transportation, 52(3), 895-921. https://doi.org/10.1007/s11116-023-10443-8
  • Open Access
    van Kreveld, L., Mandjes, M., & Dorsman, J.-P. (2024). Cramér–Lundberg asymptotics for spectrally positive Markov additive processes. Scandinavian Actuarial Journal, 2024(6), 561-582. https://doi.org/10.1080/03461238.2023.2280287
  • Open Access
    Dorsman, J.-P., & Gardner, K. (2024). New directions in pass-and-swap queues. Queueing Systems, 107(3-4), 205-256. https://doi.org/10.1007/s11134-024-09914-1
  • Zhou, H., Dorsman, J. L., Mandjes, M., & Snelder, M. (2023). On the use of common random numbers in activity-based travel demand modeling for scenario comparison. Transportation Planning and Technology, 46(3), 359-379. https://doi.org/10.1080/03081060.2023.2182784
  • Open Access
    Zhou, H., Dorsman, J. L., Mandjes, M., & Snelder, M. (2023). Sustainable mobility strategies and their impact: a case study using a multimodal activity based model. Case Studies on Transport Policy, 11, Article 100945. https://doi.org/10.1016/j.cstp.2022.100945
  • Open Access
    van Kreveld, L. (2023). Asymptotic analysis of stochastic systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zhou, H. (2023). Impact assessment of new mobility services using accelerated activity-based demand modeling. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van Kreveld, L., Mandjes, M., & Dorsman, J. L. (2022). Extreme Value Analysis for a Markov Additive Process Driven by a Nonirreducible Background Chain. Stochastic Systems, 12(3), 293-317. https://doi.org/10.1287/stsy.2021.0086
  • Comte, C., & Dorsman, J.-P. (2021). Performance Evaluation of Stochastic Bipartite Matching Models. In P. Ballarini, H. Castel, I. Dimitriou, M. Iacono, T. Phung-Duc, & J. Walraevens (Eds.), Performance Engineering and Stochastic Modeling: 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, virtual event, December 9–10 and December 13–14, 2021 : proceedings (pp. 425-440). (Lecture Notes in Computer Science; Vol. 13104). Springer. https://doi.org/10.1007/978-3-030-91825-5_26
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