Chapter
Aug 12, 2020
Prediction of Travel Mode Choice Behavior Preference under the Impacts of Congestion Pricing Based on ICLV Model
Publication: CICTP 2020
ABSTRACT
Psychological factors play a significant role in formation of travel mode choice behavior preference. An integrated choice and latent variable (ICLV) model, which integrates the theory of planned behavior (TPB) and multinomial logit model (MNL) is proposed in this paper to predict mode choice behavior under congestion pricing. The model is estimated using stated preference travel mode choice data of over 1,000 automobile travelers (including more and less habitual automobile travelers) collected in Beijing inner districts. Results from the empirical application shows that the goodness of fit for the integrated choice and latent variable model is higher than that of the traditional mixed-logit model, which proves that latent variables have an obvious impact on mode choice behavior under congestion pricing. This study provides insights for designing congestion pricing and illustrates the importance of developing complementary modules that target psychological factors to promote mode shifts to sustainable travel modes in China.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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1School of Management Engineering, Zhengzhou Univ. of Aeronautics, 15 Wenyuan West Rd., P.O. Box 450046, Zhengzhou, China. Email: [email protected]
2Zhongshe Engineering Consulting (Chongqing) Co. Ltd., 2 Gangan Rd., P.O. Box 400025, Chongqing, China. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.