Latent pattern analysis of conscious cooperation for developing sustainable transport
This study explores the emerging pattern of conscious cooperation in travel mode selection for developing sustainable transport. A conceptual model for investigating the formation of conscious cooperation is examined based on a multi-factor latent cluster analysis of the survey data from Chinese cites. The study identifies three dominant patterns including the diversity average pattern, the pro-social pattern and the pro-environment pattern. An analysis of such patterns reveals that improving mobility and accessibility is more important than increasing availability of transport facilities for enhancing conscious cooperation. It finds out that there is much more to be done in addressing the concern of travelers on social equity and environment for sustainable transport development. These findings above provide better understanding of the formation of conscious cooperation for developing sustainable transport.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Chen, Xingguang
- Deng, Hepu
- Publication Date: 2022-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 356-369
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Serial:
- Transportation Research Part F: Traffic Psychology and Behaviour
- Volume: 86
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1369-8478
- Serial URL: http://www.sciencedirect.com/science/journal/13698478
Subject/Index Terms
- TRT Terms: Mobility; Mode choice; Sustainable development; Travel behavior
- Geographic Terms: China
- Subject Areas: Environment; Safety and Human Factors; Society; Transportation (General);
Filing Info
- Accession Number: 01846233
- Record Type: Publication
- Files: TRIS
- Created Date: May 24 2022 10:05AM