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

Acheampong, Siiba, 2018, in Journal of Transport Geography

doi:10.1016/j.jtrangeo.2018.04.004
Location Tamale, Ghana
Population General
Sample size 455
Factor analysis type exploratory factor analysis, varimax rotation
Stepwise regression no
Removal of insignificant variables no
Reviewed by LCM

Abstract

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. © 2018 Elsevier Ltd

Factors

Models

Dependent variable utility cycling
Model type binary logistic regression
Sample size 455.0
R2 nan
Adjusted R2
Pseudo R2 (Nagelkerke) 0.458
AIC nan
BIC nan
Log-likelihood at zero nan
Log-likelihood at constants nan
Log-likelihood at convergence nan
Variable Coefficient p-value
Gender (male=1) 0.88 0.001
Education (non-tertiary=1) 0.915 0.001
Marital status (married=1) -0.391 0.133
Bike ownership (yes=1) 3.137 0.0
Location (historical-core=1) 0.55 0.036
Personal transport ownership (yes=1) 0.192 0.448
Perceived neighborhood-scale challenges -0.318 0.042
Perceived metro-scale challenges -0.005 0.973
Commuting benefits 0.204 0.134
Status symbol -0.153 0.302
Perceived neighborhood-scale opportunites 0.441 0.006
Perceived metro-scale opportunities 0.092 0.545
Influence of significant others 0.155 0.299
Perceived neighborhood-scale challenges*Perceived neighborhood-scale opportunities -0.599 0.004
Perceived metro-scale challenges*Perceived metro-scale opportunities 0.254 0.157
Constant -1.633 0.0

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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