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Author:

Yan, Hai (Yan, Hai.) | Zhang, Kai (Zhang, Kai.) | Hao, Mingyang (Hao, Mingyang.) | Gao, Tong (Gao, Tong.)

Indexed by:

CPCI-S

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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Author Community:

  • [ 1 ] [Yan, Hai]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 2 ] [Zhang, Kai]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 3 ] [Hao, Mingyang]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China
  • [ 4 ] [Gao, Tong]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing, Peoples R China

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Source :

CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION

Year: 2023

Page: 2452-2461

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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