Research on Group Choice Behavior in Green Travel Based on Planned Behavior Theory and Complex Network Article Swipe
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/su11143765
Motor vehicle exhaust emissions have made air pollution increasingly serious in China, and advocating for the concept of green travel can help alleviate the air pollution caused by motor vehicle exhaust. Thus, the research on the green travel choice behavior of limited rational individuals in the complex social network and the evolution of group behavior is the focus of this paper. Based on the theory of planned behavior, this paper established the individual cognition-behavior model. Meanwhile, an interaction model of individuals in the network is constructed based on the DeGroot model and scale-free network. The simulation results of the model show that: (1) it is difficult to control the behavior of green travel: even if the knowledge level of green travel is high, the proportion of green travel individuals in the group is still very low; (2) the individual intention for green travel is dependent on behavioral attitude, which can effectively improve the proportion of green travel individuals; (3) if the individual intention is too dependent on the subjective norm and the perception of behavioral result, the proportion of green travel individuals would become lower; and (4) when the network is connected, the proportion of individuals who choose green travel will reach the peak through social interaction and learning. This study has a certain practical significance for the environmental protection work of relevant departments, which can guide the behavior of individuals through the design of government institutions, and enable the concept of green travel to form an ideology by means of education and knowledge dissemination, so as to generate some kind of consensual behavioral consciousness. Meanwhile, this study provides a new research perspective for behavioral research and extends the research scope of group behavior.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/su11143765
- https://www.mdpi.com/2071-1050/11/14/3765/pdf?version=1562739599
- OA Status
- gold
- Cited By
- 19
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2960203845
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2960203845Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/su11143765Digital Object Identifier
- Title
-
Research on Group Choice Behavior in Green Travel Based on Planned Behavior Theory and Complex NetworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-10Full publication date if available
- Authors
-
Junjun Zheng, Mingyuan Xu, Runfa Li, Liukai YuList of authors in order
- Landing page
-
https://doi.org/10.3390/su11143765Publisher landing page
- PDF URL
-
https://www.mdpi.com/2071-1050/11/14/3765/pdf?version=1562739599Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2071-1050/11/14/3765/pdf?version=1562739599Direct OA link when available
- Concepts
-
Theory of planned behavior, Travel behavior, Psychology, Perception, Cognition, Control (management), Marketing, Business, Transport engineering, Engineering, Computer science, Neuroscience, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 4, 2023: 3, 2022: 4, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
13Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_date | 2019-07-10 |
| publication_year | 2019 |
| referenced_works | https://openalex.org/W2085202786, https://openalex.org/W2116554828, https://openalex.org/W2099697766, https://openalex.org/W7065908366, https://openalex.org/W2389188538, https://openalex.org/W2369251235, https://openalex.org/W2110467026, https://openalex.org/W1533368239, https://openalex.org/W2008620264, https://openalex.org/W2150208547, https://openalex.org/W2016935525, https://openalex.org/W2360893300, https://openalex.org/W3123689865 |
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