Daily Travel Mode Choice Considering Carbon Credit Incentive (CCI)—An Application of the Integrated Choice and Latent Variable (ICLV) Model

Lei Gong, Tianxu Wang (), Tian Lei (), Qin Luo, Zhu Han and Yihong Mo
Additional contact information
Lei Gong: College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China
Tianxu Wang: College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China
Tian Lei: College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China
Qin Luo: College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China
Zhu Han: College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China
Yihong Mo: College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China

Sustainability, 2023, vol. 15, issue 20, 1-16

Abstract: There have been many implementations of carbon credit incentives (CCIs) for promoting green travel, but research on quantifying the effectiveness remains limited. To fill this gap, this study focuses on residents’ daily transportation mode choices under the incentive of carbon credits by employing an integrated choice and latent variable (ICLV) model to adequately address the role of attitudinal variables related to carbon credits, such as perceived usefulness, perceived ease of use, and behavioral intentions. Data from a questionnaire survey show that the ICLV model provides a richer and more nuanced understanding of the green mode choice than a traditional multinomial logit (MNL) model, where the AIC value of the ICLV model (3901.17) is smaller than that of the MNL model (3910.09). Carbon credits exhibit diverse impacts across various modes of eco-friendly transportation and specific demographic groups. Commuting trips reveal noteworthy positive associations between carbon credits and the use of bicycles as well as metro/bus services. Moreover, carbon credits exert a more pronounced influence on individuals with higher education levels, older age groups, and owners of new energy vehicles, whereas their impact on high-income individuals is relatively constrained. Furthermore, perceptions of carbon credits are pivotal, with perceived utility emerging as the most influential factor. The results provide a scientific basis for formulating more effective policies regarding carbon credit and incentive measures in the future.

Keywords: carbon credits; integrated choice and latent variable (ICLV) models; green travel; travel behavior; mode choice (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/20/14809/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/20/14809/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:20:p:14809-:d:1258522

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().