Modelling determinants of walking and cycling adoption: A stage-of-change perspective

Biehl, Alec; Ermagun, Alireza; Stathopoulos, Amanda

doi:10.1016/j.trf.2018.06.016

Cited by 36 publications

(31 citation statements)

References 75 publications

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“…Furthermore, it should be noted that ordinal regression models have been developed for the estimation of the perceived level of service (LOS) for pedestrian facilities [68,69]. Alongside, ordinal regression has been used to reveal the factors for the adoption of active modes of transport (walking, cycling) [70] as well as for the service quality' analysis of coach terminals [71].…”

Section: Methodsmentioning

confidence: 99%

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

et al. 2020

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The COVID-19 pandemic has resulted in unprecedented measures changing travel habits in many countries. Many users have started to prefer traveling by private cars, which is against the sustainability policies of the European cities. The necessity of gaining a deeper understanding of road users’ travel habit changes, their feelings on public transport use, and their perceptions of using sustainable urban mobility modes has emerged for future transport planning. Considering these facts, the study in this paper aimed to investigate the influence of the COVID-19 pandemic on road users’ perceptions, needs, and use of sustainable travel modes (i.e., public transport, walking, and cycling). An online survey was carried out during the period from March to May 2020 in the case study area, Sicily of Southern Italy. Regarding the population of the case study, the survey was representative, with 431 individuals. The survey included variables, namely gender, age, city of residence, private car ownership, walking and cycling frequency before and during the pandemic, public transport use frequency for leisure activities before and during the pandemic, need for remote working, and the stress and anxiety perception of using public transport during the pandemic. The analysis started with descriptive statistics and it was followed by correlation analysis in order to explore the characteristics of the dataset and relationship between variables. It was found that these were not statistically significantly correlated at a 95% confidence level. An ordinal regression model was applied for determining the predictions. The results suggested that women were less likely to walk during the pandemic than men. Participants were more likely to resume remote work even after the second phase in order to reduce their daily travel needs and keep their isolation. Participants have expressed a positive opinion on the use of micromobility during pandemic situations. These results can be considered as a basis for sustainable urban planning and a guide for decision-makers who aim to encourage the use of public transport, walking, cycling, and micromobility.

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Section: Methodsmentioning

confidence: 99%

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

et al. 2020

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“…The logit model is an established method used for analysis in the transport literature, including in cycling adoption studies [27,51]. The use of the model allows for the identification of factors that affect the probability of respondents choosing to adopt cycling as a method of transport.…”

Section: Logit Modelmentioning

confidence: 99%

“…Many authors have reviewed the available theoretical frameworks for cycling adoption and/or have developed new ones [11,27]. Most of the available studies have grown out of the Theory of Planned Behavior (TPB) proposed by Ajzen [28], which states that behavior can be predicted based on attitudes, perceptions, and social norms [29].…”

Section: Introductionmentioning

confidence: 99%

Why Choose to Cycle in a Low-Income Country?

Øverland

Sabyrbekov

2020

Sustainability

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Research on the adoption of the bicycle as a means of transport has been booming in high-income countries. However, little is known about bicycle adoption in lower-income countries where air pollution is high and cycling infrastructure is poor. Understanding the drivers of cycling adoption in developing economies can increase the efficiency of transport policies while reducing local air pollution, improving health, and cutting greenhouse gas emissions. The objective of this study is to identify the factors affecting cycling uptake in a low-income country using the city of Bishkek in Kyrgyzstan as a case study. The analysis is based on the Theory of Planned Behavior, a questionnaire-based survey of 900 respondents, factor analysis, and a logit model. In contrast to studies carried out in developed countries, this study finds that students are less likely to adopt cycling than other population groups. Other findings suggest that support for public transport, a desire for regular exercise and perceptions of the environmental benefits of cycling increase the probability of the use of cycling as a mode of transport in a low-income country. The paper also identifies positive and negative perceptions of cycling among cyclists and non-cyclists.

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“…It has been argued that the combination of continuous models and stage-change models, e.g., the Theory of Planned Behavior (TPB) and the Transtheoretical Model of change (TTM), can explain the process of behavior change [21,22]. According to the TPB [23], behavior is guided by beliefs about the likely consequences of a behavior (defined as a favorable or unfavorable attitude), by beliefs about the normative expectations of others (the support of important others as well as inner values and principles), and by beliefs about the presence of factors that may support or hinder the performance of a behavior (defined as perceived behavioral control).…”

Section: Psychological Mechanisms and Stage Changementioning

confidence: 99%

“…In addition to a stage diagnosis, Biehl et al [21] also included strategies for change in order to better understand the adoption process. Out of the ten strategies identified in the TTM, three were chosen; i.e., self-reevaluation (behavior change as an important part of self-identity), self-liberation (commitment linked to personal and social norms), and environmental reevaluation (defined as spatial ability, a sense of community, and evaluation of the built environment).…”

Section: Psychological Mechanisms and Stage Changementioning

confidence: 99%

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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Modelling determinants of walking and cycling adoption: A stage-of-change perspective

Cited by 36 publications

References 75 publications

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily

Why Choose to Cycle in a Low-Income Country?

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

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