Prediction of Travel Mode Choice Behavior Preference under the Impacts of Congestion Pricing Based on ICLV Model

Author:

Li Yaping12,Sun Shuai12

Affiliation:

1. School of Management Engineering, Zhengzhou Univ. of Aeronautics, 15 Wenyuan West Rd., P.O. Box 450046, Zhengzhou, China.

2. Zhongshe Engineering Consulting (Chongqing) Co. Ltd., 2 Gangan Rd., P.O. Box 400025, Chongqing, China.

Publisher

American Society of Civil Engineers

Reference20 articles.

1. Responses to complex pricing signals: Theory, evidence and implictions for road pricing;Bonsall P.;Transportation Research Part A: Policy and Practice,2007

2. A cost-benefit analysis of the Stockholm congestion charging system;Eliasson J.;Transportation Research Part A: Policy and Practice,2009

3. Ghosh A. (2001) "To pay or not to pay: Commuters' mode choice under real time congestion pricing." Proceedings of 80th Annual Meeting of the Transportation Research Board Washington DC.

4. 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 C. R.;Transportation Research Part B: Methodological,2002

5. Predicting multi-faceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experiment;Arentze T.;Transport Policy,2004

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