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Cited by 647

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Extending the Theory of Planned Behavior: Predicting the Use of Public Transportation1

Heath, Yuko, Gifford, Robert·2002·Journal of Applied Social Psychology

Abstract

An expanded version of the theory of planned behavior (TPB) was used to predict and explain public transportation use. A pre‐post design was used to examine changes in university students’ bus ridership after the implementation of a universal bus pass (U‐pass) program. Bus ridership significantly increased after the U‐pass was implemented, and associated changes in attitudes and beliefs about transportation modes were found. In both phases, students’ public transportation use was well predicted by the original TPB. However, 2 additional constructs—a descriptive norm, and the interaction between intention and perceived behavioral control—significantly improved prediction in both phases of the study. These constructs might be useful additions to the original TPB, at least in this behavioral domain.

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Crossref · 10.1111/j.1559-1816.2002.tb02068.x

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Metadata

Authors
Heath, Y., & Gifford, R.
Venue
Journal of Applied Social Psychology
Publisher
Wiley
Published
2002-10
Volume
32
Issue
10
Pages
2154-2189
ISSN
  • 0021-9029 (ISSN-L)
  • 1559-1816
OpenAlex
W1969567350
Cited by
647
References
10
FWCI
8.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Extending the Theory of Planned Behavior: Predicting the Use of Public Transportation1. https://app.cochat.ai/papers/10.1111/j.1559-1816.2002.tb02068.x
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Heath, Y., & Gifford, R. (2002). Extending the Theory of Planned Behavior: Predicting the Use of Public Transportation1. Journal of Applied Social Psychology. https://doi.org/10.1111/j.1559-1816.2002.tb02068.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.