Intention for Car Use Reduction: Applying a Stage-Based Model

Olsson, Lars E.; Huck, Jana; Friman, Margareta

doi:10.3390/ijerph15020216

Cited by 41 publications

(35 citation statements)

References 47 publications

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“…In addition to judgmental factors, there may very well be other psychological factors of importance for carpooling. The concept of stage of motivation or degree of intention for potential behavioral change could, for instance, be applied to determine how willing people are to use different types of carpool offerings (e.g., References [54,55]). It may then be possible to design and match interventions that attract different segments of people based on their stage of motivation to change.…”

Section: Discussionmentioning

confidence: 99%

Why Do They Ride with Others? Meta-Analysis of Factors Influencing Travelers to Carpool

2019

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Carpooling can be viewed as a simple intervention to reduce congestion, environmental problems, and land use for parking spaces. The present study assembled 18 studies on carpooling from all over the world that were published during the last five years (2014–2018) for a meta-analysis. By calculating effect sizes of 20 different factors, the study aimed to understand user characteristics, motives, and barriers to carpooling, and to gain insights about carpool interventions. Our results indicate that carpooling is very weakly related to socio-demographic variables, and that psychological factors are becoming more important, including monetary and time benefits, reducing congestion, and environmental concerns. Policy-makers can increase carpooling by offering cheaper parking or special parking spaces for carpoolers and introducing high-occupancy vehicle (HOV) lanes. Not surprisingly, fuel prices influence mode choice. The overall findings support previous results, but we found judgmental factors becoming more important for the choice to carpool. We conclude that carpooling services still fail to include many potential users and to serve users adequately. The challenge of meeting the needs of all users requires new approaches to designing carpool concepts, systems, and encounters.

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Section: Discussionmentioning

confidence: 99%

Why Do They Ride with Others? Meta-Analysis of Factors Influencing Travelers to Carpool

2019

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“…Behaviour-change strategies are matched to each stage and target these transition points. The stage model of self-regulated change has been used in transportation, energy-reduction, and beef consumption interventions (Bamberg, 2013a;Klöckner, 2014Klöckner & Nayum, 2016;Klöckner & Ofstad, 2017;Olsson, Huck, & Friman, 2018;Sunio, Schmöcker, & Kim, 2018).…”

Section: Behaviour-change Frameworkmentioning

confidence: 99%

Reducing meat consumption: Identifying group-specific inhibitors using latent profile analysis

Lacroix

Gifford

2019

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Climate change mitigation requires changes in greenhouse gas emitting behaviours. This dissertation aims to provide insights into the influences of behaviour change for two high-impact pro-environmental behaviours: climate policy support and consumption of animal products. It does so by using quasi-and randomized experiments and by monitoring changes in behaviour over time. Study 1 examined changes in climate policy support and climate change risk perception over the course of a naturally occurring event: seasonal forest fires. It employed growth curve modeling techniques in a structural equation modeling framework to analyze longitudinal relations between these two constructs over time, and to examine growth in climate change risk perception while controlling for the effect of exposure to forest fires and other extreme weather. Indirect exposure to forest fires (e.g., media) had a modest effect on climate change risk perception. Climate change risk perception for individuals with above-mean perceptions of scientific agreement tended to increase faster than for those with below-mean perceptions. Individuals whose climate change risk perception grew at a faster-than-average rate tended to also grow at a faster-than-average rate for climate policy support. Study 2 provided insight into the psychological influences on consumption of animal products and on willingness to reduce. Following a comprehensive literature review, known influences were examined using Latent Profile Analysis to identify groups of individuals with similar perceptions of facilitators of meat consumption and obstacles to reducing it. Three groups were identified: stronghindrance meat eaters, moderate-hindrance meat eaters, and reducers. Validation variables confirmed the practicality of the three profiles: groups differed in their current consumption of animal products and in their willingness to reduce. Using these findings, three group-matched interventions were designed in Study 3. Intervention design was informed by four behaviour-iv change frameworks. Participants were randomly assigned to one of four conditions: control condition, implementation-intention condition, information-and-healthy-recipe condition, and information-and-substitution condition. Then, they completed up to 28 days of food diaries.Multilevel model analyses were employed to examine changes in the consumption of animal products over time. Participants reduced their consumption by 20 grams of CO2 per day on average. Individuals that were randomly assigned to an intervention condition that matched their meat-eater profile reduced their consumption of animal products by 40 grams CO2 per day on average. Taken together, these studies highlight the importance of considering individual differences (i.e., tailoring) when designing pro-environmental behaviour interventions. v

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“…The second stage ("preaction") involves the evaluation of alternative behavior by means of related perceived behavioral control over the alternative as well as attitudes towards this behavior [59]. The latter refers to the expected outcomes evoked by the behavior, which-when considered positively-strongly encourage the "behavioral intention" [40,41,60]. Next, individuals in the stage of "action" are characterized by the strong intention to replace previous behavior with the evaluated alternative.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Within several studies, the frequent use of an alternative transport mode (e.g., at least once a week or daily) was considered as an indicator of assignment to the last stage [46,61,62]. Stated intentions of using alternative transport modes or reducing car use as well as certain attitudes were taken into account to determine the transition to the middle stages of behavior change [41,45,62].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…In order to evaluate possible changes in travel behavior, we employed the stage model of self-regulated behavioral change (SSBC) [39][40][41], which was developed as part of the intervention evaluation approach "MaxSUMO" [42,43]. By including several factors influencing the intention and the adoption of a certain behavior, the SSBC facilitates assignment to a stage within the processes of voluntarily turning away from previous behavior and adopting an alternative.…”

Section: Introductionmentioning

confidence: 99%

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More Cycling, Less Driving? Findings of a Cycle Street Intervention Study in the Rhine-Main Metropolitan Region, Germany

2020

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In order to encourage a shift from the car to the more sustainable transport mode of cycling, cycle streets have been implemented in cities all over the world in the last few years. In these shared streets, the entire carriageway is designated for cyclists, while motorized traffic is subordinated. However, evidence on the impact of cycle street interventions related to travel behavior change has been limited until now. Therefore, the objective of this study was to evaluate whether cycle streets are an effective measure to facilitate bicycle use and discourage car use, thus contributing to the aim of promoting sustainable travel. For this purpose, we conducted a written household survey in the German city of Offenbach am Main involving participants affected by a cycle street intervention (n = 701). Based on two stage models of self-regulated behavioral change (SSBC), we identified the participants’ level of willingness to use a bicycle frequently and to reduce car use. By means of bivariate and multivariate statistical methods, we analyzed the influence of awareness, use, and perceptions of the cycle street on the willingness to change behavior towards more sustainable travel. The results show that the intervention has a positive impact on frequent bicycle use, while we observed only a limited effect on car use reduction. Traffic conflicts and car speeding within the cycle street adversely affect the acceptance of the intervention. The study’s findings provide new insights into the actual effects of a cycle street and its potential to encourage sustainable travel behavior.

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Intention for Car Use Reduction: Applying a Stage-Based Model

Cited by 41 publications

References 47 publications

Why Do They Ride with Others? Meta-Analysis of Factors Influencing Travelers to Carpool

Why Do They Ride with Others? Meta-Analysis of Factors Influencing Travelers to Carpool

Reducing meat consumption: Identifying group-specific inhibitors using latent profile analysis

More Cycling, Less Driving? Findings of a Cycle Street Intervention Study in the Rhine-Main Metropolitan Region, Germany

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