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Cited by 413

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Travel Demand Management Targeting Reduced Private Car Use: Effectiveness, Public Acceptability and Political Feasibility

Gärling, Tommy, Schuitema, Geertje·2007·Journal of Social Issues

Abstract

The private car is fast, comfortable, and convenient. However, worldwide massive car use causes serious environmental problems. Although breakthroughs in clean automobile technology may be under way, reducing car use seems necessary in order to achieve a sustainable transportation system. Several travel demand management (TDM) measures have therefore been proposed and some have been implemented with this aim. The article reviews research addressing the question of how effective, acceptable to the public, and politically feasible such measures are. The conclusion is that noncoercive TDM measures alone are unlikely to be effective in reducing car use. Therefore, coercive TDM measures such as increasing cost for or prohibiting car use may be necessary but are difficult to implement because of public opposition and political infeasibility. If combined with noncoercive TDM measures providing attractive travel alternatives and communicating the benefits of car‐use reduction to the public, coercive TDM measures are likely to become more effective, acceptable, and politically feasible.

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Crossref · 10.1111/j.1540-4560.2007.00500.x

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Metadata

Authors
Gärling, T., & Schuitema, G.
Venue
Journal of Social Issues
Publisher
Wiley
Published
2007-02-16
Volume
63
Issue
1
Pages
139-153
ISSN
  • 0022-4537 (ISSN-L)
  • 1540-4560
OpenAlex
W2142461166
Cited by
413
References
4
FWCI
25.78
Type
journal article
Language
en
Open access
closed

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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.