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Kaddoura, I., Kickhöfer, B., Neumann, A. and Tirachini, A. (2015). Optimal public transport pricing: Towards an agent-based marginal social cost approach. Journal of Transport Economics and Policy, 200–218.


Kaddoura, I., Kröger, L. and Nagel, K. (2017). An activity-based and dynamic approach to calculate road traffic noise damages. Transportation Research Part D: Transport and Environment, 335–347.


Kaddoura, I., Kröger, L. and Nagel, K. (2017). User-specific and dynamic internalization of road traffic noise exposures. Networks and Spatial Economics, 153–172.



Kaddoura, I., Laudan, J., Ziemke, D. and Nagel, K. (2020). Verkehrsmodellierung für das Ruhrgebiet. Neue Dimensionen der Mobilität. Springer Fachmedien Wiesbaden, 361–386.


Kaddoura, I., Leich, G. and Nagel, K. (2020). The impact of pricing and service area design on the modal shift towards demand responsive transit. Procedia Computer Science, 807–812.



Kaddoura, I., Leich, G., Neumann, A. and Nagel, K. (2020). A Simulation-based heuristic for the improvement on-demand mobility services.


Kaddoura, I. and Nagel, K. (2016). Activity-based computation of marginal noise exposure costs: Implications for traffic management. Transportation Research Record


Kaddoura, I. and Nagel, K. (2016). Agent-based congestion pricing and transport routing with heterogeneous values of travel time savings. Procedia Computer Science, 908–913.



Kaddoura, I. and Nagel, K. (2018). Simultaneous internalization of traffic congestion and noise exposure costs. Transportation, 1579–1600.


Kaddoura, I. A. N. K. (2018). Using real-world traffic incident data in transport modeling. Procedia Computer Science. Elsevier BV, 880–885.


Kaddoura, I. and Nagel, K. (2019). Congestion pricing in a real-world oriented agent-based simulation context. Research in Transportation Economics, 40–51.



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