Using a stages of change approach to explore opportunities for increasing bicycle commuting

Thigpen, Calvin; Driller, Brigitte K.; Handy, Susan

doi:10.1016/j.trd.2015.05.005

Cited by 47 publications

(20 citation statements)

References 41 publications

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“…It has been repeatedly emphasized in the literature that interventions should be based on a more thorough understanding of the psychological processes underlying a behavioral change, i.e., viewing it as a transition through a sequence of different discrete stages [ 3 , 22 , 23 ]. This has practical consequences in that, instead of one single intervention designed for all people, specific intervention packages should be matched to the needs and barriers of people in specific stages.…”

Section: Methodsmentioning

confidence: 99%

“…Practical examples of these developments include Bopp et al [ 8 ] combining TTM and social cognitive theory targeting behavioral constructs of self-efficacy, self-regulation, outcome expectations, and processes of change. Thigpen et al [ 3 ], using the Model of Action Phases, found that travel attitudes matter more to progression toward regular commuter cycling than travel attributes, thus tentatively supporting the efficacy of soft policies focused on changing travel attitudes.…”

Section: Methodsmentioning

confidence: 99%

“…In our study, a set of questions adapted from Thigpen et al [ 3 ] was used to distinguish the individual stage-of-change of each participant ( Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

“…This study—a randomized controlled trial—examines whether smart gamification and/or financial incentives are effective in stimulating regular commuter cycling (compared to no incentives), which of these two incentives is more effective, and whether there is an extra benefit of combining these incentives. In addition, this study aims to distinguish the effects per stage of behavioral change, as proposed by contemporary theoretical models, e.g., [ 3 ]. Ultimately, our aim is threefold: (1) To foster the app’s effectiveness in supporting behavioral change; (2) to examine the potential effect of different interventions on different segments of users; and (3) to add to the existing knowledge of app-based interventions aimed at increasing physical activity.…”

Section: Introductionmentioning

confidence: 99%

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Incentivizing Commuter Cycling by Financial and Non-Financial Rewards

Máca

Ščasný

Zvěřinová

et al. 2020

IJERPH

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Current mobility patterns over-rely on transport modes that do not benefit sustainable and healthy lifestyles. To explore the potential for active mobility, we conducted a randomized experiment aimed at increasing regular commuter cycling in cities. In designing the experiment, we teamed up with developers of the “Cyclers” smartphone app to improve the effectiveness of the app by evaluating financial and non-financial motivational features. Participants in the experiment were recruited among new users of the app, and were randomly assigned to one of four different motivational treatments (smart gamification, two variants of a financial reward, and a combination of smart gamification and a financial reward) or a control group (no specific motivation). Our analysis suggests that people can be effectively motivated to engage in more frequent commuter cycling with incentives via a smartphone app. Offering small financial rewards seems to be more effective than smart gamification. A combination of both motivational treatments—smart gamification and financial rewards—may work the same or slightly better than financial rewards alone. We demonstrate that small financial rewards embedded in smartphone apps such as “Cyclers” can be effective in nudging people to commute by bike more often.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…In our study, a set of questions adapted from Thigpen et al [ 3 ] was used to distinguish the individual stage-of-change of each participant ( Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Incentivizing Commuter Cycling by Financial and Non-Financial Rewards

Máca

Ščasný

Zvěřinová

et al. 2020

IJERPH

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“…Os indivıduos que utilizam regularmente bicicleta, representado pela variavel Ciclista, apresentaram uma propensão maior para utilizar a bicicleta em deslocamentos ao trabalho. Esse resultado era esperado, uma vez que estes indivıduos se caracterizam por um comportamento favoravel a este modo Thigpen et al, 2015).…”

Section: Discussão E Simulação De Cenáriosunclassified

Impacto de medidas para estímulo ao uso da bicicleta em viagens ao trabalho: estudo de caso envolvendo funcionários da Companhia Riograndense de Saneamento

2019

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O objetivo deste estudo é identificar as questões mais valorizadas pelos potenciais usuários de bicicleta em viagens a trabalho e avaliar o impacto de medidas de estímulo ao uso da bicicleta. Para isto, foi realizado um estudo de caso com os funcionários da Companhia Riograndense de Saneamento (CORSAN), na cidade de Porto Alegre, por meio de um estudo de Preferência Declarada. Modelos logit ordenados foram utilizados para estimar a probabilidade de uso da bicicleta em diferentes cenários. Os resultados mostraram que a implantação de vestiários, bicicletários, empréstimo de bicicletas, treinamento para funcionários e a presença de ciclovias para o acesso à CORSAN, estimulam a utilização de bicicleta. A disponibilidade de vestiário mostrou-se a variável mais importante. A implantação conjunta de vestiário, bicicletário e bicicletas para empréstimo aumentaria a demanda em 65%. Os procedimentos adotados podem ser facilmente aplicados em outros contextos, expandindo pesquisas desta natureza.

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