Travel Demand Management Targeting Reduced Private Car Use: Effectiveness, Public Acceptability and Political Feasibility
By Tommy Gärling, G. Schuitema. 2007
433 citations recorded by the source corpus.
Subfields: Automotive Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/c4bd864e7c9d18f424d42bd1f400277539945055
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- M. Friman
- Tommy Gärling
- Jochen Richter
- MariAnne Karlsson
- S. Bamberg
- Göran Smith
- M. Sandberg
- Oliver Smith
In Transportation
- J. De Vos
- Tommy Gärling
- M. Friman
- Jochen Richter
- Satoshi Fujii
- S. Bamberg
- MariAnne Karlsson
- Jana Sochor
Citations in the corpus
- Commute well-being differences by mode: Evidence from Portland, Oregon, USA (2017, background): “…also have limited appeal to the public, transportation research and planning could benefit from focusing more heavily on individuals’ travel experiences, such as feelings of freedom, personal safety, and stress (Gärling and Schuitema, 2007; Anable and Gatersleben, 2005; Ory and Mokhtarian, 2009).”
- Public–private innovation: barriers in the case of mobility as a service in West Sweden (2019, background): “Accordingly, several types of measures aimed at reducing car use have been implemented worldwide (Gärling and Schuitema 2007).”
- Behaviour Theory and Soft Transport Policy Measures (2011, background): “These measures may however not alone be effective in achieving car-use reduction (Stopher, 2004), and some are difficult to implement because of public opposition or political infeasibility (Gärling and Schuitema, 2007; Jones, 2003).”
- Sufficiency transitions: A review of consumption changes for environmental sustainability (2021, background): “The literature has focused mainly on influencing individual decision-making regarding private car use (Barr, 2018; Marsden et al., 2014), with studies proposing various intervention measures to prompt behavioral change (e.g., G€arling and Schuitema, 2007).”
- Soft Transport Policy Measures: Gaps in Knowledge (2011, background): “Garling and Schuitema ( 2007 ) argue that the effects of soft transport policy measures would likely be strengthened if combined with hard transport policy measures.”