Dr. P.C. (Paul) Bouman

Paul Bouman
Erasmus School of Economics (ESE)
Erasmus University Rotterdam
Former ERIM PhD Candidate
Field: Logistics & Information Systems
Member ERIM
Field: Logistics & Information Systems
Affiliated since 2011

Operations Research, Programming, Artificial Intelligence, Public Transportation

PhD Track Passengers, Crowding and Complexity

Passengers, Crowding and Complexity was written as part of the Complexity in Public Transport (ComPuTr) project funded by the Netherlands Organisation for Scientific Research (NWO). This thesis studies in three parts how microscopic data can be used in models that have the potential to improve utilization, while preventing excess crowding.

In the first part, the emergence of crowding caused by interactions between the behavior of passengers and the public transport operators who plan the vehicle capacities is modeled. Using simulations the impact of the information disclosed to the passengers by public transport operators on the utilization and passenger satisfaction is analyzed. A quasi-experiment with a large group of students in a similar setting finds that four types of behavior can be observed.

In the second part, algorithms that can extract temporal and spatial patterns from smart card data are developed and a first step to use such patterns in an agent based simulation is made. Furthermore, a way to generate synthetic smart card data is proposed. This is useful for the empirical validation of algorithms that analyze such data.

In the third and final part it is considered how individual decision strategies can be developed in situations where there exists uncertainty about the availability and quality of travel options. We investigate how the best strategy for a specific type of objective can be computed. Finally, we analyze which strategies are worthwhile to consider for a very broad set of objectives.

Keywords
Agent Based Simulation, Activity Based Modelling, Capacity, Clustering,Complex Systems, Coordination, Crowding, Dominance, Information, Minority Games, Passenger Behavior, Public Transport, Smart Card Data, Strategies, Survey, Uncertainty
Time frame
2011 - 2017

Publications

Article (8)

  • Academic (8)

    • van Lieshout, R., Bouman, P., van den Akker, M., & Huisman, D. (2021). A self-organizing policy for vehicle dispatching in public transit systems with multiple lines. Transportation Research Part B: Methodological, 152, 46-64. https://doi.org/10.1016/j.trb.2021.08.004

    • van Lieshout, R. N., Bouman, P. C., & Huisman, D. (2021). A next step in disruption management: combining operations research and complexity science. Public Transport, 14(1), 5-26. https://doi.org/10.1007/s12469-021-00261-5

    • Lieshout, R., Bouman, P., & Huisman, D. (2020). Determining and Evaluating Alternative Line Plans in Out-of-Control Situations. Transportation Science, 54(3), 556-853. https://doi.org/10.1287/trsc.2019.0945

    • Bouman, P., Agatz, N., & Schmidt, M. (2018). Dynamic Programming Approaches for the Traveling Salesman Problem with Drone. Networks, 72(4), 528-542. https://doi.org/10.1002/net.21864

    • Agatz, N., Bouman, P., & Schmidt, M. (2018). Optimization Approaches for the Traveling Salesman Problem with Drone. Transportation Science, 52(4), 965-981. https://doi.org/10.1287/trsc.2017.0791

    • Schmidt, M., Kroon, LG., Schoebel, A., & Bouman, P. (2017). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. Operations Research, 65(1), 184-199. https://doi.org/10.1287/opre.2016.1564

    • Bouman, P., Kroon, LG., Vervest, P., & Maroti, G. (2017). Capacity, information and minority games in public transport. Transportation Research. Part C, Emerging Technologies, 70, 157-170. https://doi.org/10.1016/j.trc.2016.05.007

    • van den Akker, JM., Bouman, P., Hoogeveen, JA., & Tönissen, DD. (2016). Decomposition approaches for recoverable robust optimization problems. European Journal of Operational Research, 251(3), 739-750. https://doi.org/10.1016/j.ejor.2015.12.008

Chapter (1)

  • Academic (1)

    • Bouman, P., & Lovric, M. (2016). Rotterdam: Revenue Management in Public Transportation with Smart-Card Data Enabled Agent-Based Simulations. In A. Horni, K. Nagel, & K. W. Axhausen (Eds.), The Multi-Agent Transport Simulation MATSim (pp. 477-480). Ubiquity Press. https://doi.org/10.5334/baw.81

Conference article (3)

  • Academic (2)

    • Bouman, P., Kroon, L., Li, T., & Vervest, P. (2013). Detecting activity patterns from smart card data. Belgian/Netherlands Artificial Intelligence Conference, 9-16.

    • Bouman, P., Lovric, M., Li, T., Kroon, L., & Vervest, P. (2012). Recognizing demand patterns from smart card data for agent-based micro-simulation of public transport. Belgian/Netherlands Artificial Intelligence Conference.

  • Popular (1)

    • Bouman, P. C. (2011). Recoverable robustness by column generation. Belgian/Netherlands Artificial Intelligence Conference.

Conference proceeding (8)

  • Academic (8)

    • Wagenvoort, M., Ee, M. V., Bouman, P., & Malone, K. M. (2023). Simple Policies for Capacitated Resupply Problems. In D. Frigioni, & P. Schiewe (Eds.), 23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2023 Article 18 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.ATMOS.2023.18

    • Bouman, P., Schiewe, A., & Schiewe, P. (2020). A New Sequential Approach to Periodic Vehicle Scheduling and Timetabling. In D. Huisman, & C. D. Zaroliagis (Eds.), 20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2020 (Vol. 85, pp. 1-16). Article 6 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.ATMOS.2020.6

    • van Lieshout, R., & Bouman, P. (2018). Vehicle Scheduling Based on a Line Plan. In 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018) (Vol. 65, pp. 15:1-15:14) https://doi.org/10.4230/OASIcs.ATMOS.2018.15

    • Bouman, P., Kroon, LG., Schmidt, M., & Schöbel, A. (2013). Passenger Route Choice in Case of Disruptions. In Proceedings of the 16th International IEEE Conference on Intelligent Transport Systems

    • Hurk, E., Kroon, LG., Maroti, G., Bouman, P., & Vervest, P. (2013). Network reduction and dynamic forecasting of passenger flows for disruption management. In Proceedings of Rail Copenhagen Conference

    • Bouman, P., Schmidt, M., Kroon, L., & Schobel, A. (2013). Passenger route choice in case of disruptions. In 2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013 (pp. 1047-1052). Article 6728370 https://doi.org/10.1109/ITSC.2013.6728370

    • Bouman, P., Lovric, M., Li, T., Hurk, E., Kroon, LG., & Vervest, P. (2012). Recognizing Demand Patterns from Smart Card Data for Agent-Based Micro-simulation of Public Transport. In M. Vasirani, E. Camponogara, H. Hiromitsu, & F. Klügl (Eds.), Proceedings of the 7th Workshop on Agents in Traffic and Transportation

    • Bouman, P., van den Akker, JM., & Hoogeveen, JA. (2011). Recoverable Robustness by Column Generation. In C. Demetrescu, & M. M. Halldorsson (Eds.), Algorithms -- ESA 2011 (Vol. 6942, pp. 215-226). Springer-Verlag. https://doi.org/10.1007/978-3-642-23719-5_19

Doctoral Thesis (1)

  • Internal (1)

    • Bouman, P. (2017). Passengers, Crowding and Complexity : Models for passenger oriented public transport. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus Universiteit Rotterdam (EUR).

Report (1)

  • Academic (1)

    • van Lieshout, R., Bouman, P., van den Akker, ME., & Huisman, D. (2020). A Self-Organizing Policy for Vehicle Dispatching in Public Transit Systems with Multiple Lines. (EI report serie EI2020-06 ed.) Econometric Institute. EI report serie Vol. EI2020-06

Software (1)

Working paper (3)

  • Academic (3)

    • Wagenvoort, M., Bouman, P., van Ee, M., Lamballais Tessensohn, T., & Postek, K. (2022). An Exact and Heuristic Approach for the Ship-to-Shore Problem. Econometric Institute, EUR. Econometric Institute Research Papers No. EI 2022-05

    • Schmidt, M., Kroon, LG., Schöbel, A., & Bouman, P. (2014). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. Preprint Series Institute for Numerical and Applied Mathematics, University of Goettingen.

    • Schmidt, M., Kroon, LG., Schöbel, A., & Bouman, P. (2014). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. Institute for Numerical and Applied Mathematics Göttingen Preprint Series.

PhD Tracks (2)

Integration, Decentralization and Self-Organization: Towards Better Public Transport
  • Role: Daily Supervisor
  • PhD Candidate: Rolf van Lieshout
  • Time frame: 2017 - 2022
Optimal planning of dispersed operations in urban coastal environments
  • Role: Co-promotor
  • PhD Candidate: Mette Wagenvoort
  • Time frame: 2020 -

Events (3)

2017
June
15
Passengers, Crowding and Complexity
PhD Defence
As: Speaker
2012
May
30
Smart Cards Enabled Agent-Based Models for Revenue Management in Public Transportation
Research Seminar
As: Speaker
2012
March
02
Recoverable Robustness by Column Generation
Research Seminar
As: Speaker

Address

Visiting address

Office: ET-10
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands

Research Initiatives

Latest publication

Conference proceeding

Wagenvoort, M., Ee, M. V., Bouman, P., & Malone, K. M. (2023). Simple Policies for Capacitated Resupply Problems. In D. Frigioni, & P. Schiewe (Eds.), 23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2023 Article 18 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.ATMOS.2023.18

Supervisory Team

Anita Schöbel
Anita Schöbel
  • Promotor
Kai Nagel
  • Member Doctoral Committee
Dennis Huisman
Dennis Huisman
Professor of Public Transport Optimization
  • Member Doctoral Committee
Jan van Dalen
Jan van Dalen
Associate Professor of Statistics
  • Member Doctoral Committee
Peter Vervest
Peter Vervest
Professor of Information Management and networks
  • Promotor
Eric van Heck
Eric van Heck
Professor of Information Management and Markets
  • Member Doctoral Committee