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Kaddoura, I., Kickhöfer, B., Neumann, A. and Tirachini, A. (2012). Public transport supply optimization in an activity-based model: Impacts of activity scheduling decisions and dynamic congestion. Latsis Symposium 2012 – 1st European Symposium on Quantitative Methods in Transportation Systems


Kaddoura, I., Kickhöfer, B., Neumann, A. and Tirachini, A. (2013). Optimal public transport pricing: Towards an agent-based marginal social cost approach. hEART 2013 – 2nd Symposium of the European Association for Research in Transportation


Kaddoura, I., Kickhöfer, B., Neumann, A. and Tirachini, A. (2015). Agent-based optimisation of public transport supply and pricing: Impacts of activity scheduling decisions and simulation randomness. Transportation, 1039–1061.


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.



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