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Aug 30, 2023
Research on the Influence of Low-Carbon Awareness on Residents’ Travel Behavioral Intention of Commuting
Authors: Hai Yan [email protected], Kai Zhang [email protected], Mingyang Hao [email protected], and Tong Gao [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
To explore the influence and mechanism of low-carbon awareness on residents’ travel behavioral intention of commuting, a comprehensive theoretical framework was constructed based on the theory of planned behavior (TPB) and the value-belief-norm theory (VBN), considering three low-carbon awareness factors: low-carbon knowledge, low-carbon attitude, and low-carbon values. Then structural equation modeling (SEM) was used for quantitative analysis. The results showed that all the three low-carbon awareness factors have a direct or indirect significant positive effect on residents’ low-carbon travel behavioral intention of commuting. Residents’ awareness of low-carbon travel gradually formed, and they will subconsciously consider the impact of their travel modes on the environment. Therefore, to promote low-carbon awareness and encourage residents to low-carbon travel, we should focus on diversified low-carbon travel promotion activities to youth groups, improving the pleasantness and comfort of commuting modes, promoting incentive policies for low-carbon travel, and guiding residents to adopt correct low-carbon values.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Analysis (by type)
- Business management
- Commute
- Engineering fundamentals
- Infrastructure
- Models (by type)
- Practice and Profession
- Quantitative analysis
- Structural analysis
- Structural engineering
- Structural models
- Sustainable development
- Traffic engineering
- Transportation engineering
- Travel modes
- Travel patterns
- Urban and regional development
- Urban areas
Authors
Affiliations
1Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
2Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
3Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
4Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
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