direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Publikationsliste

Suche Import

Illenberger, J., Nagel, K. and Flötteröd, G. (2012). Liste: Jahr. The role of spatial interaction in social networks


Flötteröd, G., Chen, Y. and Nagel, K. (2011). Liste: Jahr. Behavioral Calibration and Analysis of a Large-Scale Travel Microsimulation. Springer Netherlands, 481–502.


Nagel, K. and (editors), P. W. (2003). Special Issue on Regional Transportation Simulations. Networks and Spatial Economics


Raney, B., Cetin, N., Völlmy, A., Vrtic, M., Axhausen, K. and Nagel, K. (2003). An agent-based microsimulation model of Swiss travel: First results. Networks and Spatial Economics, 23–41.


Flötteröd, G., Chen, Y. and Nagel, K. (2011). Behavioral Calibration and Analysis of a Large-Scale Travel Microsimulation. Networks and Spatial Economics. Springer Netherlands, 481–502.


Vazifeh, M. M., Santi, P., Resta, G., Strogatz, S. H. and Ratti, C. (2018). Addressing the minimum fleet problem in on-demand urban mobility. Nature, 534.


Taubenböck, H., Goseberg, N., Setiadi, N., Lämmel, G., Moder, F., Oczipka, M., Klüpfel, H., Wahl, R., Schlurmann, T., Strunz, G., Birkmann, J., Nagel, K., Siegert, F., Lehmann, F., Dech, S., Gress, A. and Klein, R. (2009). ``Last-Mile'' preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia. Natural Hazards and Earth System Science, 1509–1528.

Link zur Publikation

Taubenböck, H., Goseberg, N., Lämmel, G., Setiadi, N., Schlurmann, T., Nagel, K., Siegert, F., Birkmann, J., Traub, K.-P., Dech, S., Keuck, V., Lehmann, F., Strunz, G. and Klüpfel, H. (2013). Risk reduction at the ``Last-Mile'': an attempt to turn science into action by the Example of Padang, Indonesia. Natural Hazards, 915–1945.


Walz, A., Gloor, C., Bebi, P., Fischlin, A., Lange, E., Nagel, K. and Allgöwer, B. (2008). Virtual worlds – real decisions: Recent research in landscape modelling and visualisation and the potential of computer-based tools for planning. Mountain Research and Development. -, 122–127.


Müller, S. A., Balmer, M., Charlton, W., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. and Nagel, K. (2021). Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data. medarxiv


Kaddoura, I. (2015). Marginal Congestion Cost Pricing in a Multi-Agent Simulation: Investigation of the Greater Berlin Area. Journal of Transport Economics and Policy, 560–578.


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.


Frazier, T. and Alfons, A. (2012). Generating a Close-to-Reality Synthetic Population of Ghana. Journal of Transport and Landuse


Neumann, A., Röder, D. and Joubert, J. W. (2015). Towards a simulation of minibuses in South Africa. Journal of Transport and Land Use, 137–154.


Lakshay, Agarwal, A. and Bolia, N. B. (2016). Route guidance map for emergency evacuation. Journal of Risk Analysis and Crisis Response, 135–144.


Zusatzinformationen / Extras

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe