Who is ready to bicycle? Categorizing and mapping bicyclists with behavior change concepts

Thigpen, Calvin; Fischer, Jaimy; Nelson, Trisalyn A.; Therrien, Suzanne; Fuller, Daniel; Gauvin, Lise; Winters, Meghan

doi:10.1016/j.tranpol.2019.07.011

Cited by 7 publications

(5 citation statements)

References 20 publications

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“…Additionally, positive responses to the attitude statement: "I try to limit my (car) driving" were found to be both weakly and positively associated with the later motivational stages. An additional study was performed [19] in three Canadian cities. A diagnosis of stage-change membership was based on two questions focusing on the intent to cycle: (1) bike frequency over the past 12 months and (2) whether or not a bike was normally used to get around.…”

Section: Theoretical Basis 21 the Stages Of Changementioning

confidence: 99%

“…A diagnosis of stage-change membership was based on two questions focusing on the intent to cycle: (1) bike frequency over the past 12 months and (2) whether or not a bike was normally used to get around. Thigpen et al [19] combined the stage-change model with a spatial geographical analysis and were thus able to identify "hot" areas with higher potential for biking behavior. Thigpen et al [19] argue that identifying hot areas is useful when prioritizing, planning, and deciding on bike infrastructure.…”

Section: Theoretical Basis 21 the Stages Of Changementioning

confidence: 99%

“…Thigpen et al [19] combined the stage-change model with a spatial geographical analysis and were thus able to identify "hot" areas with higher potential for biking behavior. Thigpen et al [19] argue that identifying hot areas is useful when prioritizing, planning, and deciding on bike infrastructure.…”

Section: Theoretical Basis 21 the Stages Of Changementioning

confidence: 99%

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Integrating Planned Behavior and Stage-of-Change into a Cycling Campaign

et al. 2021

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A cycling campaign was assessed that used three different nudging conditions to progress people’s stage of motivation to make travel behavioral changes. The results of three waves of survey data showed that this cycling campaign generally strengthened their stage of motivation to reduce car use and that this stage-change, in turn, reduced actual car use while increasing bike use. It was observed that an improvement of cognitive psychological mechanisms was positively related to people’s motivation to change. Although the effect of the campaign was stronger just after it had ended (Wave 2), a reduction in car use, an increase in bike use, and an increase in the stage of motivation were still found three months after the campaign had ended. This is important as it shows that effects favoring sustainable travel last beyond the timeframe of the intervention. We conclude that travel interventions should aim to integrate processes that emphasize cognitive psychological mechanisms and people’s motivation to change as these drive a sustainable behavioral change.

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Section: Theoretical Basis 21 the Stages Of Changementioning

confidence: 99%

Section: Theoretical Basis 21 the Stages Of Changementioning

confidence: 99%

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Integrating Planned Behavior and Stage-of-Change into a Cycling Campaign

et al. 2021

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“…Çalışmada Strava mobil uygulamasının GPS verilerinin yüksek çözünürlüklü ve kapsamlı veriler olduğundan dolayı bu verilerin çalışmanın başarısına büyük katkı sağladığını belirtmişlerdir. Thigpen et al, [19] bisiklet kullanıcılarının yoğun olarak kullandıkları güzergâhları mekânsal analiz yöntemini kullanarak belirlemişlerdir. Ayrıca çalışmada altyapı yönünden eksiklik olan bakım ihtiyacı bulunan yerler belirlenmiştir.…”

Section: Introductionunclassified