Towards Sustainable Urban Transportation in Ghana: Exploring Adults’ Intention to Adopt Cycling to Work Using Theory of Planned Behaviour and Structural Equation Modelling

Acheampong, Ransford A.

doi:10.1007/s40890-017-0047-8

Cited by 37 publications

(55 citation statements)

References 40 publications

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“…Further, 59% of behavioral intention was explained by its predictors: attitude towards the bicycle; subjective norm, and perceived behavioral control. The results are very much in line with previous studies that indicate the usefulness of the tpb in explaining bicycle use (Forward, 2004;de Bruijn et al, 2009;Milkovic & Stambuk, 2015;Frater, Kuijer, & Kingham, 2017;Acheampong, 2017). Our results coincide especially with those of Milkovic and Stambuk (2015), who found that the model's three components explained behavioral intention with attitudes and perceived behavioral control being stronger predictors than the subjective norm.…”

Section: Discussionsupporting

confidence: 92%

“…Only one study found significant effects for all of the model's components (Milkovic & Stambuk, 2015). In other studies, perceived behavioral control seemed to be the component most consistently associated with behavior (Acheampong, 2017;de Bruijn et al, 2009;Forward, 2004). Three of the seven studies found attitudes to be associated, and one of these found them to be the most important (Milkovic & Stambuk, 2015).…”

Section: The Theory Of Planned Behavior (Tpb) In Explaining Bicycle Usementioning

confidence: 90%

“…To generate this intention, a person must have a positive attitude toward bicycle use, perceive that others also regard it as appropriate, and consider himself/ herself capable of using a bicycle. Table 1 summarizes previous studies that applied the tpb to the understanding of cycling behavior (Forward, 2004;de Bruijn et al, 2009;Milkovic & Stambuk, 2015;Frater, Kuijer, & Kingham, 2017;Acheampong, 2017). In general, the tpb model explains, to a large extent, the behavioral intention and the behavior (explained variance from 25% to 73%).…”

Section: The Theory Of Planned Behavior (Tpb) In Explaining Bicycle Usementioning

confidence: 94%

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Using the Theory of Planned Behavior to Explain Cycling Behavior

Caballero

Franco

Tosi

et al. 2019

Av. Psicol. Latinoam.

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Las ciudades latinoamericanas están realizando cambios importantes para propiciar el uso de bicicleta. Para desarrollar políticas en este sentido es importante conocer los factores que motivan el uso de bicicleta. La Teoría del Comportamiento Planificado (tcp, Ajzen, 1991) proporciona un modelo útil para comprender posibles motivos relacionados con la elección del modo de transporte. En este trabajo se aplicó la tcp para explicar el uso de bicicleta en viajes a la Universidad. Se trabajó con una muestra de 172 participantes de la Ciudad Autónoma de Buenos Aires, Argentina. Los datos fueron modelados mediante análisis de senderos (path analysis). La tcp mostró un excelente ajuste a los datos. Los resultados sugieren que la intención conductual explica el 53% de la varianza de la conducta de uso de bicicleta para viajar a la universidad. A su vez, el resto de los componentes de la tcp (actitud, norma subjetiva, y control conductual percibido) explican el 59% de la varianza en la intención de viajar en bicicleta. Se discuten las implicancias teóricas y prácticas para la promoción del uso de bicicleta como modo de transporte.Palabras clave: Teoría del Comportamiento Planificado, uso de bicicleta, transporte activo.

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Section: Discussionsupporting

confidence: 92%

Section: The Theory Of Planned Behavior (Tpb) In Explaining Bicycle Usementioning

confidence: 90%

Section: The Theory Of Planned Behavior (Tpb) In Explaining Bicycle Usementioning

confidence: 94%

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Using the Theory of Planned Behavior to Explain Cycling Behavior

Caballero

Franco

Tosi

et al. 2019

Av. Psicol. Latinoam.

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“…While many studies provide evidence to support the postulations of the TPB, some studies offer findings that depart from some postulations of the TPB. For instance, while [22] found PBC to have a direct effect on intentions to adopt sustainable transport modes in Ghana, this researcher's evidence does not support the attitude-intention link. These contradictions in the existing pro-environmental literature may be due, in part, to the following reasons: a lack of explicit consideration of the role of situational factors, and methodological and interpretational discrepancies [19].…”

Section: Conceptual Overview: the Theory Of Planned Behaviourcontrasting

confidence: 68%

What Determines Behaviours Towards Water Resources Management in a Rural Context? Results of a Quantitative Study

et al. 2019

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Recent environmental policies introduced to safeguard the quality of water resources have focussed on encouraging pro-environmental behaviours (PEB). This has resulted in a considerable volume of research output that seeks to investigate the determinants of PEB in the context of water resources management. However, there is a paucity of literature exploring the topic within the developing country context, though evidence suggests that these regions record the highest rates of water resource pollution. This limits our understanding of the determinants of PEB and thus constrains our ability to develop and implement effective policies to encourage uptake of PEB. Following this, we apply the Theory of Planned Behaviour to explore the determinants of PEB, using structural equation modelling to analyse survey data from rural Ghana. The evidence supports the hypothesis that attitudes and perceived behavioural control affects intentions, and this translates into pro-environmental behaviour. Results further indicate that attitude and perceived behavioural control have a strong explanatory power in people’s intentions, and intentions are influential drivers of pro-environmental behaviour. An explicit recognition of the role of situational factors could offer a profound understanding of the determinants of behaviours that promote water resources management and support the development and implementation of policies aimed at safeguarding the quality of water resources.

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“…other persons who could have an influence on one's behaviour e.g. peers and parents) are crucial to successfully getting more people to adopt the bike as the main mode of transportation (Moudon et al, 2005;Acheampong, 2017;Sigurdardottir et al 2013).…”

Section: Socio-ecological Models and Bicycling Behaviourmentioning

confidence: 99%

Examining the determinants of utility bicycling using a socio-ecological framework: An exploratory study of the Tamale Metropolis in Northern Ghana

Acheampong

Siiba

2018

Journal of Transport Geography

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This paper examines the determinants of utility bicycling through a cross-sectional study in Tamale, a metropolis with a long history of an embedded cycling culture in Ghana, West Africa. Using a socio-ecological framework, we model the extent to which individual-level characteristics, social environment factors and perceptions of physical environment factors at the neighbourhood and metropolitan scales influence choice of the bicycle as the main transport mode. An exploratory factor analysis distilled the indicators of the latent constructs of the socio-ecological framework into factors, which reflect physical environment challenges and opportunities perceived at the neighbourhood and metropolitan scales; influence of significant others; perceived status symbol of the bike; and perceived commuting benefits of bicycling. A binary logistic regression analysis of the determinants of utility cycling shows that while overall, bicycle ownership is an important determinant of cycling, between the genders, males are more likely to bicycle than females. Also, cyclists are more likely to be non-tertiary educated individuals. Whereas 'perceived neighbourhood-scale challenges' decrease the odds of cycling, 'perceived neighbourhood-scale opportunities', which reflect the availability of bicycle lanes, alternative roads and traffic control measures increase the likelihood of cycling among the study respondents. An interaction term between neighbourhood-scale physical environment opportunities and challenges, however, correlates negatively with cycling, suggesting that overall the metropolitan physical environment is not ideal for cycling. The study points to a huge potential for cycling in the metropolis and provides an empirical basis for interventions needed to remove barriers to bicycle commuting.

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Towards Sustainable Urban Transportation in Ghana: Exploring Adults’ Intention to Adopt Cycling to Work Using Theory of Planned Behaviour and Structural Equation Modelling

Cited by 37 publications

References 40 publications

Using the Theory of Planned Behavior to Explain Cycling Behavior

Using the Theory of Planned Behavior to Explain Cycling Behavior

What Determines Behaviours Towards Water Resources Management in a Rural Context? Results of a Quantitative Study

Examining the determinants of utility bicycling using a socio-ecological framework: An exploratory study of the Tamale Metropolis in Northern Ghana

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