Incorporating Traveler Response to Pricing Policies in Comprehensive Activity-Based Models of Transport Demand: Literature Review and Conceptualisation

Author:

Khademi Elaheh,Timmermans Harry

Publisher

Elsevier BV

Subject

General Medicine

Reference37 articles.

1. Arentze, T., Timmermans, H., 2005. Spatial Impact of Congestion pricing Scenarios. Tweede Belgischse Geografendag, Gent.

2. Arentze, T., Hofman, F., Timmermans, H., 2004. Predicting Multi-Faceted Activity-Travel Adjustment Strategies in Response to Possible Congestion Pricing Scenarios Using an Internet-Based Stated Adaptation Experiment, Transport Policy, 11, 31_41.

3. Arentze, T., Timmermans, H., 2005. ALBATROSS: A Learning Based Transportation Oriented Simulation System. Europian Institute of Retailing and Service Studies, EIRASS, Version 2.0.

4. Ben-Akiva, M., Lerman, S., 1985. Discrete Choice Analysis: Theory and Application to Travel Demand.

5. A Unified Mixed Logit Framework for Modeling Revealed and Stated Preferences: Formulation and Application to Congestion Pricing Analysis in the San Francisco Bay Area;Bhat;Transportation Research,2002

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