Simone: large scale train network simulations
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Simulation planning and rostering: runway schedule determination by simulation optimization
Proceedings of the 35th conference on Winter simulation: driving innovation
The use of simulation to support major transportation planning decisions
WSC '04 Proceedings of the 36th conference on Winter simulation
Approach for modelling of large maritime infrastructure systems
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation implements demand-driven workforce scheduler for service industry
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Intelligent negotiation behaviour model for an open railway access market
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Transportation planners and public transport operators alike have become increasingly aware of the need to diffuse the concentration of the peak period travel. Differentiated pricing is one possible method to even out the demand and reduce peak load requirement. An evaluation of the potential effectiveness of strategies directed to flatten the demand distribution requires an understanding of the underlying factors that drive travel behavior (e.g., time-shifting, route change, mode change) with regard to price and service. In this paper, we present a Passenger Railway Network Simulation model with the intention of linking supply and demand. The objective is to evaluate the differentiated pricing impact on the passenger travel behavior, and consequently on the overall network performance, both financially and operationally. This paper focuses on the design and modeling approach of the Travel Behavior Model.